Altair
概述
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总部
美国
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成立年份
1985
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公司类型
私营公司
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收入
$100m-1b
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员工人数
1,001 - 10,000
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网站
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股票行情
NASDAQ: ALTR
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推特句柄
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公司介绍
Altair 是企业级工程软件的领先供应商，可在从概念设计到服务运营的整个产品生命周期中实现创新、缩短开发时间并降低成本。我们的仿真驱动创新方法由我们的集成软件套件提供支持，该套件可优化跨多个学科的设计性能，包括结构、运动、流体、热管理、电磁学、系统建模和嵌入式系统，同时还提供数据分析和真实的生活可视化和渲染。
物联网解决方案
物联网应用简介
Altair 是基础设施即服务 (iaas), 平台即服务 (paas), 应用基础设施与中间件, 分析与建模, 功能应用, 网络与连接, 和 传感器等工业物联网科技方面的供应商。同时致力于航天, 汽车, 建筑物, 城市与自治市, 电子产品, 设备与机械, 金融与保险, 医疗保健和医院, 海洋与航运, 回收与废物管理, 零售, 和 公用事业等行业。
技术
用例
功能区
行业
服务
技术栈
Altair的技术栈描绘了Altair在基础设施即服务 (iaas), 平台即服务 (paas), 应用基础设施与中间件, 分析与建模, 功能应用, 网络与连接, 和 传感器等物联网技术方面的实践。
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设备层
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边缘层
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云层
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应用层
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配套技术
技术能力:
无
弱
中等
强
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实例探究.
Case Study
A SMART SOLUTION FOR A CIRCULAR ECONOMY
A detailed study conducted by a student from Universidad Pontificia Comillas ICAI in Spain highlighted the need for ecologically safe and sustainable products. While recycling plays an important role in the circular economy, many consumers don’t recycle for a variety of reasons, including lack of space, inconveniently located recycling centers and collection containers, or distrust and/or disbelief in the recycling process. Organizations needed a model that made recycling easier and more accessible for everyone.
Case Study
Integrating Systems Modeling with Simulation Helps Ensure Robust Space Debris Re
On the e.Deorbit proposal, Airbus DS engineers addressed these concerns by using system modeling to simultaneously develop the mission requirements and architectures. They developed a SySML model that integrates the safety and architecture requirements, system capabilities, functional architecture, and concept of operations (CONOPS).Developing the architectures and requirements in parallel helped to validate the requirements at an earlier stage in the project, saving considerable time and money. While this approach was a major step forward, Airbus DS engineers recognized that its benefits were limited by the fact that the domain simulations required to support the development of the architectures were each run manually and separately by engineers responsible for a particular domain.The results from these simulations were later uploaded to a database and used as input parameters for the system model and other simulations.The performance of the entire system for a particular use case is not clear until each of the simulations involved is completed which takes days or weeks. Considerable time and effort are required to simulate the performance of the entire system for even a single case, limiting the number of cases that can be run in the architecture definition phase.This creates the potential for errors and unexpected interactions that cost considerable time and money to correct when they are discovered later during the detailed design stage.
Case Study
Revolutionizing Aerospace Industry with 3D Printing: A 63% Lighter Titanium Part
GE Aviation, a renowned name in the aerospace industry, recognized the potential of 3D printing technology in transforming the sector. The primary challenge was to reduce the weight of the aerospace parts, which would directly impact the fuel costs. A lighter airplane would mean lower fuel consumption, leading to cost savings and a smaller carbon footprint. However, achieving this weight reduction without compromising the strength and functionality of the parts was a significant challenge. Traditional manufacturing methods were not able to provide the desired weight reduction while maintaining the required stiffness and strength of the parts. The challenge was to find a solution that could create strong, light, and functional aerospace parts.
Case Study
Advancing RPA Initiatives in Financial Reporting: A Case Study of a Global Bank
The global bank, based out of North America, was facing a significant challenge in managing its report repository connected to dozens of applications and database systems used across the enterprise. The bank, serving close to 20 million customers worldwide, had to manually download hundreds of thousands of reports from these applications to a centralized location for use on a weekly basis. The file formats were typically unstructured data, usually in text or PDF, with no consistency in report formats across the different applications, or even for reports created using the same application. End users would then manually copy data from the text / PDF formats to Excel-based reports used for reconciliation, attestation, financial reporting, journal entries and other uses. This process was time-consuming, prone to human error, and inefficient.
Case Study
Revolutionizing Elevator Systems for Skyscrapers: A Case Study
The architecture industry is witnessing a trend of taller and more elaborate buildings, with the world’s tallest skyscraper, the Burj Khalifa, standing at 828 meters. This height brings unique challenges, particularly in transporting people from the ground floor to the top efficiently. Traditional elevator systems, which operate via cable systems located at the top floor of the building, offer a maximum ride height of up to 400 meters, just half the distance of the world’s tallest building. This necessitates passengers to ride two or more elevators to reach the top level. ThyssenKrupp Elevator, a leading elevator company, developed an elevator that uses electro-magnetic drives attached to the cabin frame, eliminating the need for roof-mounted cables and allowing the elevator to travel the full 800-meter distance. However, this new system could not carry as much weight as a traditional elevator. The challenge was to ensure the new design was as lightweight as possible to maximize the loading capacity of the cabins.
Case Study
Mahindra Rise: Enabling Smart Engineering with IoT
Mahindra & Mahindra, a global pioneer in the transportation business, faced a significant challenge in managing and analyzing the vast amounts of data generated by multiple IT systems. These systems, which include Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), Product Lifecycle Management (PLM), Systems, Applications and Products (SAP) and Tool Data Management (TDM), are integral to the company's automotive, aerospace, and agribusiness operations. Each system generates specific data throughout the product life cycle, requiring collection and analysis to facilitate key decision-making. The challenge was to create a standardized decision support system that could consolidate data from these multiple sources and present the right information at the right time to the right person. The company needed a solution that could interlink all these systems for a properly functioning parent system, enabling collaboration between product and manufacturing engineering, cost and legacy systems.
Case Study
Optimization of Railway Component Design at Alstom
Alstom, a world leader in integrated railway systems, was faced with the challenge of optimizing an existing component design to be manufactured with casting or alternatively with additive manufacturing technologies. The component in question was a part used in Alstom's Metropolis units in the train bogies to support the anti-roll system. The initial design of the part was found to be much too strong for the workloads it was subjected to, and the safety factor was also a little too high. Alstom's engineers were tasked with improving the design of this existing cast part, with a specific focus on optimizing it for production with metal additive manufacturing. The challenge was to improve the overall design while optimizing material usage, and to explore new production options with additive manufacturing.
Case Study
SOGECLAIR Aerospace's Innovative Approach to Optimize Aircraft Components Using HyperWorks
The aerospace industry is constantly seeking ways to reduce aircraft weight for improved performance and reduced fuel costs. SOGECLAIR aerospace, a major supplier for the aerospace industry, was faced with the challenge of finding a new development and manufacturing approach to reduce weight while ensuring safety. They were particularly interested in exploring a new concept for an engine pylon, a critical component that holds an aircraft engine to the wing or fuselage. The challenge was to create a design that would not only reduce weight but also maintain the part’s stiffness and reduce the overall number of system parts, leading to reduced assembly time.
Case Study
Optimizing Robotic Car Storage Service: A Stanley Robotics Case Study
Stanley Robotics, a deep tech company, aimed to revolutionize the vehicle logistics industry by introducing autonomous robots to move cars in storage compounds. The challenge was to develop a robot that was fast, reliable, and efficient to meet the demands of the car logistics industry. The robot needed to be designed with mechanical optimization in mind to compete effectively with traditional car logistics companies. Stanley Robotics needed to prove that its robotic vehicle could achieve a significant number of moves per year and demonstrate its durability. To achieve this, the company needed a partner to help develop a digital twin of their robot to calculate all the demands placed upon it and validate their product through durability calculations.
Case Study
Improving Gearbox Efficiency with IoT: A Case Study on HYCET
HYCET Transmission Technology Hebei Co. Ltd (HYCET), a comprehensive enterprise focusing on E-drive systems, faced a significant challenge in troubleshooting gearbox mechanical failures. These failures, including pitting, erosion, and peeling, were primarily caused by insufficient lubrication. Given that E-drive speed can reach up to 20,000 rpm, HYCET needed a solution that could accurately calculate churning losses. The company also needed to consider factors such as windage effects, oil volume, and the amount of air bubbles (aeration) present in oil. The challenge was to find a solution that could provide detailed insights into these complex flow phenomena and help the team answer vital questions related to oil flow and potential leaks.
Case Study
HyperWorks Streamlines Development of Aeronautic Sensors at Esterline Advanced Sensors
Esterline Advanced Sensors, a leading provider of aeronautic sensors, faced a significant challenge in the development of their products. Each sensor is a unique project for a specific customer, with individual requirements that often change during the development process. This necessitates multiple iterations on design changes and intensive simulations to ensure the final product meets the customer's needs. The sensors, composed of several sub-parts and different materials, grow into complex models when prepared for simulation. The efficiency and reliability of the simulation heavily depend on the mesh features and quality of these models. The challenge was to quickly incorporate required modifications into the current model, create models from scratch, and quickly adopt modifications for design variants, all while maintaining high quality and reducing calculation time.
Case Study
Ford Motor Company: Building an Efficient HPC Infrastructure
Ford's Numerically Intensive Computing Department (NIC) had built a substantial heterogeneous High-Performance Computing (HPC) environment over the years, combining both capacity and capability. This environment included Beowulf clusters based on Xeon, Itanium, and Alpha processors, SGI Origin and Altix servers, IBMP650 capacity, and large SMP Cray systems. While this infrastructure enabled NIC to process compute-intensive jobs in a timely manner, it also resulted in a complex infrastructure of platforms and applications. Additionally, NIC faced complexity on the solver side, running many application versions, none of which ran on all architectures. The challenge was to find a solution that could efficiently manage this complex infrastructure and provide a simple tool for users.
Case Study
Enhancing Aluminum Extrusion Manufacturing with IoT: A Case Study of APEL Extrusions Limited
APEL Extrusions Limited, a full-service extrusion manufacturer specializing in aluminum extrusion and finishing, was facing a significant challenge in testing die extrusion performance while limiting time and cost. The company, which has a presence in both Canada and the United States, provides aluminum extrusions for a variety of applications including residential and commercial construction, HVAC systems, recreational vehicles, and consumer goods. The aluminum extrusion industry has been experiencing an increased demand for flat rolled and extruded aluminum products, primarily from the transportation sector. This trend, expected to continue through 2020, has put pressure on companies like APEL to adapt to customer needs while maintaining high-quality solutions that meet extremely tight tolerances. A critical step in APEL's process of providing high-quality products is the testing phase that occurs before the actual extrusion process begins.
Case Study
Automating the Simulation Process at AMCOR: A Case Study
Amcor Rigid Plastics, a leading product supplier for various packaging segments, was facing challenges in maintaining a balance between packaging performance, environmental impact, and shelf appeal while keeping costs to a minimum. The company was under pressure to create more environmentally friendly products. Amcor was also looking for innovative and lightweight container designs that would be aesthetically pleasing and easy to handle for the consumer without compromising on quality, performance, or safety. The company was using Altair’s HyperWorks suite to create accurate finite element models of the concept designs from the CAD teams to assess their performance in the virtual world. However, they wanted to explore ways to accelerate the engineering and analysis tasks associated with the development of new packaging products. The virtual test process used to investigate the performance of new packaging designs under various loading and impact scenarios was consuming a large amount of the simulation team’s time.
Case Study
Unilever's Customized Solutions for Reducing Packaging Waste
Unilever, a consumer goods giant, was faced with the challenge of reducing the environmental impact of their products. The company needed to find a way to minimize the material used in its packaging while ensuring that it remained strong enough to withstand transportation loads and a variety of use conditions. The challenge was to optimize Unilever’s packaging designs using advanced virtual simulation technology. However, at the time, Unilever did not employ many computer aided engineering (CAE) users, instead having an extremely talented team of CAD engineers at their disposal.
Case Study
Streamlining Weight Data Management for Improved Decision Making at Airbus Helicopters
Airbus Helicopters' Weight & Balance (W&B) team was faced with the challenge of collecting and analyzing data to predict the weight of a product during the conceptualization phase. The team had to gather relevant and current data from a broad range of stakeholders in a standardized manner. However, this process was proving to be a hurdle, slowing down both the data interrogation and the subsequent decision-making process. The manual data upload system did not allow for the creation of a standardized report that could be updated in real time, either internally by the different product development departments or externally by suppliers. Altair was tasked with creating a solution to these problems.
Case Study
Baker Hughes Accelerates Product Development with HyperWorks-Driven Simulation
Baker Hughes, a leading supplier of oilfield services, products, technology, and systems, faced a significant challenge in validating an advanced oil well liner. The company's customers operate in a challenging market, drilling offshore in deep water and arctic regions, perfecting shale and hydraulic fracturing techniques, and consistently complying with strict environmental and safety regulations. They also have to manage technological challenges such as ever-deeper wells, extreme pressures and temperatures, and unconventional geological variations. Product reliability, safety, speed to market, and cost control are all vital to the industry’s success. To remain competitive, oil and gas service companies must ensure that the right products are built reliably and meet customer expectations ahead of those from competitors. The challenge of creating a cost-effective, safe, and reliable expandable liner hanger required the use of simulation throughout the product development process.
Case Study
Composite Rotor Blade Analysis using Altair HyperWorks: A Case Study
The case study revolves around a senior design project undertaken by Christopher Van Damme, a senior undergraduate student in the Department of Engineering Mechanics at the University of Wisconsin-Madison. The project involved the design and analysis of a coaxial rotor craft, specifically focusing on a composite-made helicopter rotor blade. Rotor blades are critical components of helicopters, providing thrust, lift, and enabling maneuvers. Modern helicopters use rotor blades made of composite material due to their excellent strength-to-weight ratio, damage tolerance, and fatigue life. However, composite material is challenging to compute using analytical methods or reduced order models. Therefore, Van Damme had to apply suitable Computer-Aided Engineering (CAE) tools to cover the required studies, including static, modal, frequency response, and dynamic analysis of the rotor.
Case Study
Leveraging Altair SimSolid for Bone Biomechanics at Roth McFarlane
Roth McFarlane Hand and Upper Limb Centre (HULC) in London, Ontario, faced a significant challenge in evaluating the biomechanics of bone stresses. The center, under the direction of Dr. Louis Ferreira, PhD, was using human bone specimens that were CT scanned with a high-resolution scanner. This process preserved much of the internal trabecular bone’s microstructure geometry. However, the challenge lay in the fact that many measurements from the experimental models were either prohibitive or impossible to measure directly on the specimen. This was particularly relevant in the case of patients with shoulder arthritis who were often treated surgically by replacing the diseased joint with implants. The center needed a way to simulate how different implant types influence bone stresses, which can influence the longevity of the surgical procedure.
Case Study
Hussmann India's Enhanced Simulation Accuracy with Altair AcuSolveTM
Hussmann India, a provider of tailored food safety solutions, was facing a significant challenge in maintaining the highest performance and quality standards for their refrigerated display cases and refrigeration systems. The company had to conduct extensive analyses of their product designs to identify and rectify even the smallest of design errors early in the design cycle. The highly competitive and price-sensitive nature of the refrigeration industry necessitated the compression of design and development cycle times, while ensuring cost efficiency and uncompromised quality. Hussmann India was also under pressure to ensure that there would be no rise in temperature in the refrigerator due to infiltration, which would directly affect the total efficiency of the refrigerator display case. Another challenge was the cost and time spent on the experimental testing of the refrigerator.
Case Study
Innovative Architectural Design through IoT: A Case Study of Zaha Hadid Architects
Zaha Hadid Architects, an international architectural design firm based in London, UK, was faced with the challenge of creating a design proposal for the Museum of the 20th Century that would complement the iconic Neue Nationalgalerie. The Neue Nationalgalerie, designed by Mies van der Rohe in 1968, introduced radical new concepts and refined structural detailing. The challenge for Zaha Hadid Architects was to reinvent a similarly radical approach by applying new advances in technology to generate structural and architectural expression. The firm's Computation and Design research group (co|de) was tasked with developing early-design methods that would enable a directed search for physically, economically, and ergonomically feasible solutions within a vast universe of architectural possibilities enabled by digital design and construction methods.
Case Study
Democratizing Wheel Design: Altair Solutions Streamline Accuride’s CAE Wheel Assembly Process
Accuride Corporation, a leading global commercial and passenger vehicle component supplier, faced a significant challenge in their product development process. The creation of a solid hexahedral mesh, a crucial step in developing truck and passenger wheels, was a complex and time-consuming task. This process required an in-depth understanding of advanced meshing techniques and component quality standards. Moreover, the task was so specialized that only a few engineers at Accuride could handle it, leading to potential delays in time-critical projects. The company also struggled to share this meshing knowledge beyond department boundaries, making it difficult to include everyone in the process, especially simulation beginners.
Case Study
Accelerating Antenna Design: Reducing Phased Array Antenna Design Time by 25% with Altair® Feko®
RF2B was tasked with developing a phased array antenna proof of concept design for small cell Citizens Broadband Radio Service (CBRS) base stations at 3.5GHz for its customer Menlo Micro, a developer of high-performance RF MEMS switch integrated circuits. The challenge was to achieve enough azimuth and elevation beam steering range with enough grating lobe suppression and higher efficiency. This required high-level design analysis to decide the number of columns and rows, element type, element spacing, angular step size, and amplitude tapering for the antenna array. Another challenge was the overall complexity of the design, requiring a time-efficient antenna array simulation and design methodology that included the feed network. The antenna array also needed to be optimized in its mechanical environment, including the enclosure and radome.
Case Study
Optimizing CAE with IoT: A Case Study of BASF Engineering Plastics
BASF Engineering Plastics, a division of the world's leading chemical company, BASF, is tasked with providing superior engineering design, simulation, and testing support during all phases of the development cycle. The group's primary goal is to provide superior engineering design, simulation, and testing support during all phases of the development cycle. However, the support of various customers in the application of modern materials often demands new concepts that make the advantages of the material applicable. This challenge is further compounded by the need to continually develop modern virtual methods to meet the needs of its customers, as the company believes that mathematical part optimization will broadly gain acceptance as the method of choice in the next few years.
Case Study
Tesla's Innovative Approach to Optimizing Design Cycle with Automated CAE Connector Creation
Tesla Motors, a high-profile electric car manufacturer, was seeking ways to optimize its development cycle to expedite the production of high-quality vehicles. A significant challenge was the time-consuming process of preparing the finite element analysis (FEA) model, particularly the connector portion of its CAE model. The Model S sedan, for instance, had over 300 different fixings and more than 6,000 weld points, including welds, bolts, rivets, adhesives, and MIG welds. The most laborious task was recreating these connectors in the CAD model, which could take up to several days. This process was not only inefficient but also prone to errors, as there was a risk of overlooking a MIG weld or adhesive due to the lack of detail in the CAD file about the type of connector used, its mechanical properties, and the panels it was connecting.
Case Study
Seismic Retrofit Design Optimization for Unreinforced Masonry Structures
The challenge was to develop an effective seismic retrofit design for a hypothetical unreinforced masonry structure. This was part of a bachelor's project by Davide Gamberini, a student at Politecnico di Milano University's ACTLAB, the Architecture Computation and Technology Laboratory. The focus of the project was on unreinforced masonry structures, which are common in historic buildings in Italy. Given Italy's reputation as one of the most earthquake-prone regions in Europe, there was a pressing need to develop improved retrofitting strategies to preserve the country's cultural heritage. The challenge was to analyze the structure of a hypothetical unreinforced masonry building and find structural improvements to enhance the building's seismic performance.
Case Study
AMETEK's IoT Solution for Cooling Joint Strike Fighter Pilots
AMETEK, a leading global manufacturer of electronic instruments and electromechanical devices, was contracted by Lockheed Martin to design a portable flight suit chiller unit for the Joint Strike Fighter (JSF) program. The chiller unit works with a pilot cooling vest to maintain a pilot’s deep body core temperature at ≤ 100.4° F (38° C). The JSF program aims to deliver affordable, next-generation striker aircraft weapon systems for the U.S. Navy, Air Force, Marines, and allies. Pilots flying these aircrafts are subject to high levels of acceleration – up to 9g – and must wear G-suits to prevent blackouts. To prevent pilots suffering from heat stress in the cockpit and on the ground, portable flight suit chiller units are needed. The design challenge was to monitor multiple variables and develop the code that goes to the controlling device to make those adjustments automatically. The chiller unit must also run within its power limits to prevent damage.
Case Study
Ford Battery Group's Adoption of RADIOSS Cut Methodology for Enhanced Simulation Performance
Ford's battery core team was faced with a challenge when working in tandem with vehicle development. The vehicle electrification engineering teams required a highly detailed CAE model of the battery arrays, including each cell and various packaging configurations considered in the design. This detailed model was necessary to predict the robustness of the battery structure using CAE simulation. However, the detailed model, which could grow to several million elements, needed to be significantly simplified when data was passed to full vehicle teams. The combination of a detailed battery model with the complexity of a full vehicle model significantly slowed the cycle time and hindered the ability to run optimization and design exploration for both teams.
Case Study
Maxi-Cosi Child Seat Development: A CAE-Driven Design Process for Enhanced Safety
Dorel Juvenile, a market leader in child safety in cars, was tasked with the development of a new child seat, the Maxi-Cosi 2wayPearl. The challenge was to redesign a two-way facing safety child seat that could withstand increased loads, fit into a reduced packaging space, and meet the new European I-size safety requirements. The project's initial goal was to modify the existing Maxi-Cosi FamilyFix seat base to add rearward-facing functionality. The increased loads due to the two-way functionality and the reduced and modified packaging space for the seat base presented significant engineering challenges. The more forward position of the support leg required major structural changes. The introduction of a new European wide standard for child safety seats – the I-size regulation – during the course of the project added another layer of complexity, necessitating an almost complete redesign of the seat base.
Case Study
Fully Automated Optimization and Manufacturing of CFRP Components
The production of carbon fiber reinforced plastic (CFRP) components in high volume and economically is a significant challenge due to complex design shapes and primarily manual manufacturing processes. This has limited the production of fiber composite materials to small series or single products. Despite the desirable properties of CFRP components, such as their lightweight potential and excellent mechanical properties, their complex design and cost-intensive manufacturing processes have been a disadvantage. The Fiber Patch Preforming (FPP) method, developed under the leadership of Airbus Group Innovations, enabled the automated production of composite preforms from a software lay-up plan. However, the next challenge was creating a manufacturing facility suitable for mass production and efficient processing of the fiber patches. This led to the SOWEMA research project, which aimed to develop a flexible and fully automated manufacturing process using the FPP method.
Case Study
Schneider Electric's Multi-Disciplinary System Design Approach for Developing Miniature Circuit Breakers
Schneider Electric, a global leader in power management and automation systems, faced a challenge when they identified a new market opportunity for their circuit breaker business in a region where they had no presence. The challenge was to adapt an existing standard design for a circuit breaker’s automatic recloser to be used under different operating conditions, including different voltage levels and types (DC rather than AC), and varying temperatures. The product variant had to meet all-new specifications and the window of opportunity was short, requiring the development of a viable product within only four months. The challenge was further compounded by the need to maintain Schneider Electric's high product standards, superior customer satisfaction, and an excellent corporate reputation for providing products that perform with high reliability.
Case Study
Optimizing Aluminum Sand Casting Process with IoT: A Case Study on Woodland/Alloy Casting, Inc.
Woodland/Alloy Casting, Inc., a full-service aluminum casting provider, faced a significant challenge in transitioning a marine exhaust housing part from a lost foam casting to a sand casting. The transition required an updated gating system to maintain the integrity of the part. The company aimed to produce a sound casting while keeping ingates and risers to a minimum, which would allow for a low yield and reduce the time needed to remove the rigging. The challenge was to design a new gating system that would feed the casting from the bottom flange and push the metal to the top of the casting. The traditional approach to testing the new gating system would have involved numerous costly and time-consuming tests, requiring a number of molds to determine the outcome of the new gating system.
Case Study
Exploring the Potential of Topology Optimization and Additive Manufacturing in Architecture
The case study revolves around the exploration of the potential benefits of combining topology optimization and additive manufacturing in architectural projects. While this combination is common in industries like automotive or aerospace, it is rarely used in architecture. The challenge was to investigate the potential of this symbiosis for architectural projects. Bayu Prayudhi, an architectural student of the University of Delft, took up this challenge and re-designed an existing architectural project, the outdoor canopy at Baku international airport in Azerbaijan, originally designed by ARUP. The goal was to include topology optimization upfront in the design process and adapt the design for 3D printing. The challenge also involved dealing with boundary conditions such as costs, lead times, and technological limits while striving to combine function, shape, and innovation.
Case Study
MasterCard Enhances Customer Experience with Self-Service Data Preparation
MasterCard, a global technology company in the payments industry, was facing a significant challenge in its business financial support team. The team of 13 was spending between 40 to 80 hours per week manually reconciling transactions and cash from reports that resided on the company’s mainframe. This process involved printing 20-30 individual, multi-page reports daily and hand-keying data into Excel for reconciliation. The task was not only time-consuming but also inefficient, especially considering the company's rapid growth and expanding product offerings. Derek Madison, Leader of Business Financial Support at MasterCard, was tasked with identifying new ways to increase efficiency and improve MasterCard processes.
Case Study
Socomec: Delivering Leading-Edge IoT Solutions with Altair
Socomec, a century-old, France-based company specializing in innovative power solutions, was seeking to create additional value for its customers by implementing increasingly complex and sophisticated power setups. The company's specialty lies in providing low-voltage energy installations for critical energy buildings like datacenters, solar plants, utilities, and hospitals. However, simply meeting customers’ power needs wasn’t enough for Socomec. The company aimed to provide solutions that would enable customers to elevate their businesses to the next level of performance and efficiency. This required the implementation of intricate power setups and services, involving detailed processes such as governance, project management, change management, architecture, integration, and cybersecurity. To achieve this, Socomec decided to collaborate with an open ecosystem of experts and partners, allowing it to focus internal resources on its core competencies.
Case Study
Unilever's Journey to Optimizing Packaging Designs & Reducing Prototype Costs with IoT
Unilever, a global leader in the consumer goods industry, was seeking ways to maintain its innovative edge in the male grooming market. The company was particularly focused on differentiating its Lynx (Axe) brand from competitors. The challenge was to adopt a simulation and analysis approach for designing a new deodorant packaging concept. However, Unilever lacked an in-house team of analysis engineers and needed a development partner to assist with the design and testing of the new can.
Case Study
Optimizing Sinter Cooler Charging System with Altair® EDEM™: A Case Study on ArcelorMittal
ArcelorMittal, the world’s leading steel and mining company, faced a challenge in optimizing a large-scale charging chute of a sinter cooler plant in Fos-Sur-Mer. The objective was to improve the reliability and efficiency of the device by identifying a better design that enhanced granular segregation, abrasion, and mechanical resistance. The process of charging hot material into the sinter cooler often led to particle segregation, causing severe problems such as fire issues on conveyor belts and sinter quality issues. The R&D team needed to investigate these segregation patterns, particularly the impact of particle sizes and the effect of the filling ratio on the segregation patterns in the trolleys of the sinter strand. However, simulating granular flows in a large system compared to the particle size was complex and time-consuming. The team needed a modelling strategy that balanced computational efficiency and physical realism.
Case Study
Digital Twin Technology Reduces Waste and Enhances Efficiency in Automotive Manufacturing
Patrone and Mongiello, a leading tier-one automotive supplier based in Italy, was seeking a solution to enhance the monitoring and control of its sheet metal forming process. The company aimed to improve product quality and reduce production waste. The solution needed to account for sheet metal properties such as stress, strain, and elasticity, and cover equipment operating conditions such as pad force and die friction. The challenge was to find a solution that could accurately simulate the company's existing sheet metal forming process, including machine press and sheet-metal behavior, system variables, and operating conditions.
Case Study
TEAMTAO: Revolutionizing Deep-Sea Exploration with IoT and Simulation
TEAMTAO, a collaboration of Newcastle University, SMD (Soil Machine Dynamics Ltd), and UK Research and Innovation, was competing in the Shell Ocean Discovery competition, a global challenge to advance deep-sea exploration using autonomous subsea drones. The goal was to develop underwater robots that could fully map 500 km2 of seafloor at a 4 km depth in less than 24 hours with no human intervention. TEAMTAO’s unique concept was to develop a swarm of these devices all communicating with each other and sharing information. The compact autonomous platform consisted of the BEMs (Bathypelagic Excursion Module), a swarm of vertically swimming AUVs and the surface vessel. It also had a 'vending machine' style autonomous surface catamaran that was responsible for the horizontal transit, data handling, communication, and recharging of the BEMs. The challenge was to test the devices in a range of different scenarios at deep depths without risking the prototype.
Case Study
Reducing Medical Stent Stress by 71%: A Medtronic Case Study
Medtronic, a global leader in medical device manufacturing, was facing a significant challenge in the design and validation process of a new medical stent. The stent, an expandable mesh inserted into a patient's artery to keep it open, required meticulous design and rigorous testing. Traditional methods of computer-aided engineering (CAE) and virtual simulation were not fully utilized within the industry due to the slow verification process for often microscopic components. Medtronic was seeking a way to not only improve the design of the stent but also to speed up the validation process, ensuring a faster time-to-market and better performing products.
Case Study
A Vision of Tomorrow's Architecture: Designing the LAVA Bionic Tower
The Bionic Tower, a high-rise tower proposal in Abu Dhabi designed by the Laboratory for Visionary Architecture (LAVA), is a symbol of LAVA’s visions of tomorrow’s architecture. The design unifies nature’s organization system with advanced computing technology, to achieve an architectural expression of ultimate lightness, efficiency, and sophistication. The structural expression of this architecture is a proposed organic exoskeleton which acts to structurally stabilize the building. The major challenge was to generate a unique structural form that is lightweight and organic in appearance in order to achieve the free-form exoskeleton structure.
Case Study
Revolutionizing Automotive Design: A Case Study on Technische Universität Dresden's Formula Student Team
The Technische Universität Dresden's Formula Student Team faced the challenge of designing and manufacturing a new Formula Student steering column mount. The existing steering column mount was complex, consisting of four different areas at different angles, making it difficult to produce with a 5-axis milling machine. The solution to produce this part consisted of four different milled aluminum parts that were all bolted together. The team was looking for a way to simplify the design and production process, reduce the weight of the part, and improve its performance characteristics.
Case Study
Hyundai Mobis Leverages Feko for Enhanced EMC Analysis and Shielding Effectiveness Simulation
Hyundai MOBIS, a leading producer of core automotive components, was facing challenges in improving the efficiency and reducing the time taken in the electromagnetic compatibility (EMC) analysis process. The company uses shielding enclosures to protect against external fields and electromagnetic (EM) leakage from electronic products. However, the integrity of these enclosures was often compromised by apertures and slots used for visibility, ventilation, or access to interior components. These openings allowed exterior electric and magnetic fields to penetrate into the interior space, where they could couple to Printed Circuit Boards (PCBs), inducing currents and voltages on interior conductors. Therefore, it was crucial for Hyundai MOBIS to understand the EM shielding effectiveness of shielding enclosures in the presence of these apertures.
Case Study
Application of HyperWorks in Developing Human Body Models for Vehicle Crash Assessment
The University of Michigan Transportation Research Institute (UMTRI) was faced with the challenge of developing finite-element human body models that account for the effects of age, gender, and obesity on injury risk in vehicle crashes. The existing injury assessment tools, including finite-element human models, did not account for different body shape and composition variations among the population. This was a significant issue as analysis of crash injury databases by UMTRI showed that occupant characteristics, such as age, sex, and body mass index (BMI) significantly affect the risks for thoracic and lower extremity injuries in vehicle crashes. The challenge was to broaden vehicle crash protection to encompass all vehicle occupants by developing detailed, parametric-based finite element human body models that represent a wide range of human attributes.
Case Study
Solid Hex Meshing the Human Lumbar Spine: A Case Study on NuVasive Inc.
The challenge faced by NuVasive Inc., a medical device company specializing in the surgical treatment of spine disorders, was to predict how a device will perform while ensuring they are safe and effective, before a single prototype is built. The company wanted to leverage computational modeling and simulation to eliminate bad ideas and refine the good ones long before they leave the drawing board. The objective of this project was to take anatomic geometry obtained from a CT scan and develop a finite element model that could evaluate the biomechanical stability of different interbody cage footprints that is typically performed using cadaveric testing. Since bone geometry is unique to each individual, and bones are not symmetric, a manual hexahedral (HEXA) meshing approach needed to be established in order to build models with a repeatable process.
Case Study
The SKA Radio Telescope: Leveraging IoT for a Better Understanding of the Universe
The Square Kilometer Array (SKA) project, led by the SKA Organization from Jodrell Bank Observatory in the UK, aims to challenge Einstein’s seminal theory of relativity, study the formation of the first stars and galaxies, explore dark energy and vast magnetic fields in the cosmos, and answer the age-old question, 'Are we alone in the Universe?' The SKA will be a collection of various types of antennas, including large dish reflectors and aperture antennas, spread over large distances and working together as an interferometric array. The SKA will be 10,000 times faster and 50 times more sensitive than any existing radio telescope. However, the proximity of adjacent antennas and other systems can result in unwanted inter-coupling, even from low-level emissions, due to currents on cables. This inter-coupling needs to be minimized, which requires identifying the coupling mechanisms and applying measures to improve isolation. On-site radio frequency (RF) coupling investigations are required, but they can only be done after installation. During the design, planning, and installation stages, characterization of the electromagnetic (EM) environment has to be done on scale models and through simulations.
Case Study
INTECH DMLS Achieves 27% Weight Reduction in 3D Printed Satellite Component using Altair Inspire™ and OptiStruct™
INTECH DMLS, a leader in the field of metal-based DMLS 3D printing in India, was faced with the challenge of reducing the weight of a camera holder to be placed on a satellite. The company needed to get the weight right the first time, eliminating the need for prototype iterations. This was a unique challenge as the company did not have the luxury of making errors and iterating. The team had to focus on product design optimization, analysis, mechanical integrity, heat transfer, and other criteria while developing Bionic, Dynamic, and Cellular structures and carrying out lightweight analysis for their products. The camera holder had to be lightweight but still withstand a predefined load and assist in the smooth functioning of the satellite. The customer also wanted the holder to be of a specific weight - not too light nor too heavy - and stiff enough to withstand dynamic load.
Case Study
Mando Softtech India Enhances Simulation Accuracy with Altair HyperWorks
Mando Softtech India, a leading manufacturer of automotive component systems, faced significant challenges in maintaining the high performance and quality standards of their products. The company needed to conduct in-depth analysis of their product designs to identify and rectify even the smallest design errors early in the design cycle. The automotive industry being highly competitive and price sensitive, it was crucial for Mando India to compress their design and development cycle time and develop products with utmost cost efficiency without compromising on quality. The company had invested heavily in setting up the right infrastructure in-house with advanced product design, analysis, and simulation tools. However, they faced complex problems such as conducting accurate Hexameshing, generating 2D Meshing and 3D Meshing, and conducting Thermal simulation for ECU casing development. They were also struggling with Tetra and Volume tetra meshing and needed a reliable tool for structural and non-linear analysis.
Case Study
Characterizing the Murchison Widefield Array Beam Pattern with FEKO
The Murchison Widefield Array (MWA) radio telescope, a precursor to the Square Kilometer Array (SKA), was facing a challenge in characterizing its beam pattern. The beam pattern of the array could be determined using measurement, but this method was time-consuming and required specialized equipment. Therefore, a simulation-based approach was deemed the most practical. The beam pattern is a function of each of the 16 array elements as well as the operational frequency of the system. To model the pattern, each of the array elements had to be excited independently, and at different frequencies within the operation band. The full array beam pattern could then be modeled at an arbitrary steering direction. Previously, the simulation of the beam pattern was conducted using analytical models, but a more rigorous approach was needed where the full array geometry was simulated.
Case Study
Surrogate Models for Antenna Placement on Large Platforms: A Case Study
The Institute of High Performance Computing (IHPC) was faced with the challenge of developing cost-effective and innovative approaches for modelling, diagnosing and solving electromagnetic compatibility (EMC) problems. The complexity of the electromagnetic (EM) system and environment was ever-increasing, and the institute was tasked with handling electrically-large and multi-scale EM problems such as the antenna placement on large platforms. Additionally, they had to deal with multiphysics problems such as the electrical-thermal-mechanical analysis of composite materials. In a specific project, the institute needed an efficient modelling tool to identify optimum antenna positions and minimize interference between various antennas on electrically large platforms. The geometric model of a proprietary antenna was difficult to obtain from the vendor, necessitating the development of a surrogate model to represent it in the antenna placement simulations on the platform. The antenna-on-platform problem was both electrically-large and multi-scale, and could no longer be practically solved with a fullwave only method.
Case Study
Faraone's Innovative Approach to Architectural Component Design with IoT
Faraone SRL, an Italian provider of architectural components, was faced with the challenge of designing a new full glass balustrade with a special aluminum profile at the bottom to hold the glass structure in place. The goal was to save on development time, material, and production costs, while increasing the stiffness of the aluminum profile. The development engineers at Faraone needed a new design strategy and special optimization tools to help reach these goals. The design of architectural components such as a balustrade can be challenging, since the design does not only have to look good, it also has to meet several safety requirements and standards. In addition, all designs have to be developed within the shortest time possible. To meet these challenges the engineers, architects and designers at Faraone are always looking for solutions that can reduce their design and testing cycles.
Case Study
GE Aviation’s Systems Business Leverages Flow Simulator for Aircraft Backup Generator Modelling
GE Aviation’s Systems business, a unit that designs and produces systems critical to the interface between jet engines and the airframe, was tasked with providing a backup generator (BUG) for a new aircraft. This generator was to provide electrical power in the event of multiple failures of other systems. The BUG had to be mounted onto a newly designed engine to receive mechanical power, but maintain independence from the engine to ensure functionality. It had its own oil network, pump, and sump to provide lubrication and cooling to the electromagnetic components and bearings in the generator. The lubrication system relied on a gravity drain to return the oil from a bearing cavity to the onboard sump where the oil pump was located. The team needed to ensure that the drain was adequately sized to allow for passage of the worst-case level of oil flow so that oil does not build up and cause excess heat generation or any other sinister effects within the bearings. Due to the constraints on size and program timing, an analytical approach was desired to determine the capability of the current drainage passage network and the minimum size that will be required.
Case Study
Philips Leverages IoT for Efficient Product Conceptualization and Design
Philips, a leading health technology company, was faced with the challenge of visualizing new product concepts quickly and efficiently. The goal was to work collaboratively with design colleagues and the engineering department to share feedback, understand challenges, and ultimately conceptualize final products. The company needed a tool that could be used by all members of the team to create consistency, facilitate easy file transfer/handoff with design peers and engineering, and increase overall team speed and efficiency. The existing tools were not meeting these requirements, leading to a search for a new software solution.
Case Study
Optimization of Photovoltaic Mounting Structures: Material and Cost Savings
Thesan, an Italian company specializing in the design, manufacture, and distribution of mounting structures for photovoltaic plants, was faced with the challenge of optimizing the mounting structure of a medium-sized PV field with a power of 5 MW. The field consisted of 1700 arrays, each mounted on two poles, with each individual assembled structure weighing about 60 kg. The total weight of the mounted structures on the field was 204 tons of steel, with material costs of about 170,000 Euro. A weight reduction of only 5 kg per structure would lead to significant savings in material and cost. The structure was composed of two main parts, a steel driven pile and an aluminum rafter, with the weight reduction of the more costly aluminum parts being crucial. Another significant factor for cost savings was transportation, as PV fields are often built in remote areas with poor infrastructure. Lighter structures would not only mean less material costs in production, but also lower transportation efforts and costs. However, the new, lighter weight structures still had to be able to carry all occurring loads from natural causes such as wind or snow and the dead load of the structure, ensuring perfect quality, consistent stability and the requested stiffness of the structures.
Case Study
SimData Manager: Centralizing and Standardizing CAE Data for Global Collaboration
The case study highlights three main challenges faced by companies in managing their Computer-Aided Engineering (CAE) data. The first challenge is the need for a central location where all CAE users can manage their data within an enterprise for easy retrieval and full traceability from CAD to CAE, and all versions of CAE to the final report. The second challenge is the lack of standardization in methods used by different engineers, the loss of knowledge when employees leave, and the manual nature of the processes. The third challenge is the difficulty in tracking versions of CAD and CAE models and distributing project data globally, especially for companies with multiple development organizations in different geographic locations.
Case Study
Revolutionizing Motorcycle Design with 3D Printing: The Light Rider Case Study
Airbus, one of the largest aircraft manufacturers, has always been keen on weight saving as it directly impacts fuel consumption, cost, and carbon emissions. To further explore advanced manufacturing technologies, Airbus set up APWorks in 2013, a subsidiary dedicated to design, materials, and 3D printing. However, due to the confidential nature of customer projects, APWorks found it challenging to tangibly showcase the possibilities of parts designed specifically for Additive Layer Manufacturing (ALM). They needed a project that would allow them to demonstrate the potential of ALM, and decided on creating an electric motorcycle. The challenge was to design and produce a motorcycle that was significantly lighter than traditional models, while maintaining strength and durability.
Case Study
Improving Crash Simulations with High-Performance Computing: A Case Study of PSA Peugeot Citroën
PSA Peugeot Citroën, the second largest carmaker in Europe, faced a significant challenge in meeting increasingly stringent automotive regulations that demanded lower CO2 emission levels. This required the carmaker to decrease the design structure mass by using materials with a higher strength-to-weight ratio. However, introducing new materials into the design process was complex; design rules and numerical tools had to evolve to understand the characteristics of these materials and evaluate potential failures. There was a risk of delaying production awaiting reliable design direction from simulation, or having to redesign a part late in the design cycle. Furthermore, due to the large, nonlinear deformations involved in simulating crash or rupture events, proper material failure criteria were essential to results accuracy. To improve its knowledge in assessing predictive rupture models, and to identify a viable solution for testing ruptures on a massive scale, PSA collaborated with Altair, Ecole Polytechnique Laboratoire de Mécanique des Solides (LMS) and PRACE.
Case Study
Cleveland Golf's Product Innovation Through Simulation and Optimization Using HyperWorks
Cleveland Golf, a leading golf club manufacturer, faced the challenge of meeting changing regulations for golf club design while consistently introducing new products that are precisely engineered for shape, feel, balance, sound, and performance. The United States Golf Association (USGA) imposes limitations on golf club heads, including the size of the grooves in wedges and irons, the dimensions of the head, and the permitted coefficient of restitution (COR) – or springiness – that is allowed in clubs. As clubs have improved, they've reached these limits and have the capability to go beyond them. This posed a significant challenge as Cleveland Golf needed to figure out how to continue to improve clubs without exceeding these limits. Additionally, the USGA recently changed the rules specifying groove size, impacting how future clubs will be designed. From an economic standpoint, consumers were not buying as many clubs as they did in the past, so Cleveland Golf needed to create more new and innovative products, not just variations on existing clubs.
Case Study
Ford Enhances Manufacturing Efficiency with Altair Knowledge Studio
Sheet metal stamping is a crucial process in the automotive manufacturing industry, with a variety of tool, die, and process combinations used to create a diverse range of components. Traditionally, identifying the optimal stamping process for a specific part design has been a labor-intensive and time-consuming task, heavily reliant on the knowledge and skill level of the stamping engineer. Ford Mexico sought to address this issue by documenting successful metal stamping production runs over a five-year period. The goal was to capture in-house domain knowledge and best practices to expedite the selection of the best stamping process for future production runs. This would enable increased plant efficiency and part quality, reduction of scrap material, and the ability to rapidly train new personnel. However, the challenge lay in the growing design complexity, non-conventional material types, and numerous process combinations that could challenge even the most experienced process engineer, necessitating a labor and material intensive trial-and-error prove-out process.
Case Study
Innovative Grab Design for Faster Unloading: A Case Study on Nemag and TU Delft
Nemag BV, a manufacturer of grabs for handling bulk materials, faced a challenge in developing a new generation of grabs for iron ore that were faster and lighter. The traditional process of developing grabs involved building physical prototypes, which was expensive, time-consuming, and limiting. It was difficult to predict the performance of a new design, especially the interaction between the bulk material and the grab, which heavily influences the performance. The traditional methods were not sufficient to understand what happens inside the grab. Therefore, a virtual prototyping approach was developed at TU Delft to model iron ore pellets in interaction with grabs.
Case Study
Enhancing Research Capabilities with High-Performance Computing: A Case Study of QIMR
The Queensland Institute of Medical Research (QIMR), one of Australia's largest and most successful medical research institutes, faced a significant challenge in providing shared High-Performance Computing (HPC) resources to its hundreds of scientists, students, and support staff. The institute, which is home to over 50 separate laboratories supporting six research departments, needed advanced facilities to support its scientists' cutting-edge projects and attract the best researchers. To meet this need, an HPC cluster was established to be shared as a service among the scientific labs at QIMR. However, managing job scheduling and optimizing throughput on this shared resource was a complex task that required a reliable workload management system.
Case Study
Optimizing Appliance Packaging for Global Distribution: A Case Study on Mabe
Mabe, a global company that designs, produces, and distributes appliances to over 70 countries, faced a challenge in improving the protection of its washer-dryer by optimizing packaging material. The company wanted to reduce potential transit damage to its products while avoiding the use of excessive packaging that would lead to significantly higher material and shipping costs. The challenge was to produce an optimized packaging design that took into account a variety of loading scenarios and alternative package designs, and to do so early in the design stage, before any physical testing of the packaging was performed. Mabe also wanted to transfer the analytical simulation techniques developed for the washer-dryer to packaging for other products in the future, allowing the company to optimize and accelerate its design efforts.
Case Study
Optimizing Fleet Management with IoT: A Case Study on Boyacá
Boyacá, a company with 35 years of experience in newspaper delivery, was facing a significant challenge. The company needed to increase the productivity of its drivers and reduce delivery costs. The fulfillment of time schedules was crucial for customer satisfaction, and late deliveries could result in additional costs. Boyacá needed real-time information on arrival and departure times at each hub of the distribution chain to control costs with the lowest possible investment. The company uses several hundred trucks for delivery every day, making the task of tracking and optimizing delivery times a complex one.
Case Study
Unilever's Journey to Optimizing Packaging Designs & Reducing Prototype Costs with IoT
Unilever, a global leader in the consumer goods industry, was seeking ways to maintain its innovative edge in the male grooming market. The company was particularly focused on differentiating its Lynx (Axe) brand from competitors. The challenge was to design a new deodorant packaging concept that would stand out in the market. However, Unilever lacked the necessary in-house expertise to adopt a simulation and analysis approach for the design and testing of the new can. They needed a development partner to assist with the design and testing of the new packaging concept.
Case Study
Optimizing Formula Racing Car Parts with IoT: A Case Study on Gator Motorsports
Gator Motorsports, the Formula SAE team based out of the University of Florida, was faced with the challenge of improving the performance of their Formula-style racecar. The team aimed to decrease the weight and increase the strength of the car parts for better competition performance and faster design. The critical components that needed redesigning included the pedal box and suspension bell cranks. The team's goal was to develop and construct a single-seat race car for the non-professional weekend autocross racer with the best overall package of design, construction, performance, and cost. The challenge was not only to engineer and produce a reliable, high-performance vehicle but also to organize and manage a team to develop a feasible product for the market.
Case Study
ProteusDS: A Dynamic Analysis Software for Complex Marine Operations
The case study presents four distinct challenges faced by different sectors of the marine industry. The first challenge was to design mooring systems, considering the tension in the mooring lines, the movement of the floater, anchor capacity, and interactions of lines with the seabed. The second challenge was to equip ROV pilots training with simulation software and real-time data about structure, cable, and umbilical tensions. The third challenge was to efficiently assess the motion/response of tidal energy platforms in complex wind, wave, current, and loading, and ensure the design is maintainable. The last challenge was to determine the effect of strong tidal currents acting on cable and barge during cable lay operations and determine the operational impacts of having to lay cable after a slack tide.
Case Study
Achieving Superior Crash Performance for the Soueast DX7 with IoT
Soueast, a China-based automobile manufacturer, was faced with the challenge of optimizing the crash performance of its DX7 vehicle while reducing reliance on physical tests. Crash safety is a crucial part of the development process, and designing a car body that has good collision energy absorption performance is one of the main goals of automotive design. However, due to the high cost of prototype crash tests, it is not practical to validate a design’s feasibility through trial and error alone. The key to the success of virtual simulation is dependent on whether the simulation results are an accurate representation of the physical test results. The target for the DX7 project was to achieve the best possible crashworthiness while under tight time and budget constraints. The two main challenges were ensuring the CAE simulation results accurately reflect the physical crash test and analyzing and optimizing the restraint system.
Case Study
Innovative Architectural Design and Teaching at Biberach University with Altair's OptiStruct
Biberach University of Applied Sciences, specifically the Institute for Architecture and Urban Development, was faced with the challenge of creating modern, functional, stiff, and light architectural designs. The university wanted to provide its students with practical experience and introduce them to cutting-edge design and engineering tools. The challenge was to create designs that were not only aesthetically pleasing but also structurally efficient and cost-effective. The university also aimed to foster a higher level of collaboration between engineers and architects, reduce the number of design iterations, and ensure that the final design remained faithful to the initial concept.
Case Study
Characterization of Sensorless Motor Control Technology Using solidThinking Embed
Texas Instruments (TI) was faced with the challenge of characterizing their FAST™ observer, a part of their InstaSPIN™ technology. This technology enables designers to identify, tune, and fully control any type of three-phase, variable speed, sensorless, synchronous or asynchronous motor control system. The task was assigned to Dave Wilson, Senior Motor Systems Engineer with the C2000 group. Wilson attempted to characterize the FAST™ observer by setting up a dynamometer (dyno) system with a circuit board to control it. However, this process was slow, tedious, and required constant recalibration due to output variances over time and temperature changes. Furthermore, the electromagnetic torque could not be measured on the dyno, only the shaft torque could. This was a problem since the software could not be properly tested as the hardware he was using was not adequately equipped to test it.
Case Study
Korea Meteorological Administration's Energy-Efficient Supercomputing with Altair's PBS Professional and AcuSolve
The Korea Meteorological Administration (KMA) was faced with the challenge of reducing energy consumption while maintaining performance in their new Supercomputer Unit 4, a Cray® XC40™ system. This system, equipped with over a hundred thousand computing cores, runs quadrillions of computing jobs every second, which consumes a great deal of energy and causes high heat. To balance operations, it was essential to keep the National Center for Meteorological Supercomputer (NCMS) at a cool and constant temperature. However, the increased energy consumption required for Supercomputer Unit 4 put a significant burden on the air conditioning (A/C) system operations. KMA needed to determine the requirements for dealing with the additional energy consumption and cooling needs.
Case Study
Sensorless Motor Control Technology Characterization Using VisSim: A Texas Instruments Case Study
The C2000 MCU group at Texas Instruments (TI), a global semiconductor design and manufacturing company, was faced with the challenge of characterizing their new software product, InstaSPIN™. This software enables designers to identify, tune, and fully control any type of three-phase, variable speed, sensorless, synchronous or asynchronous motor control system. It uses TI’s new software encoder, a sensorless observer called FAST™ (Flux, Angle, Speed and Torque), which is embedded in the read-only-memory (ROM) of Piccolo devices. Dave Wilson, Senior Motor Systems Engineer with The C2000 Group, was tasked with characterizing the FAST™ observer and developing a datasheet for it. However, the process was slow and tedious due to output variances over time and temperature changes, and it required constant recalibration. Moreover, the hardware he was using was not adequately equipped to test the FAST software.
Case Study
Optimizing High-Speed Catamaran Design with IoT Technology
The École de Technologie Supérieure (ÉTS) Team Rafale, a group of aerospace engineers, faculty members, and students, faced the challenge of designing, building, and racing a C-Class catamaran for the 'Little America’s Cup'. The rules of the competition stipulated that the catamaran had to be less than 25ft long, with a maximum width of 14ft, and less than 300sq ft. sail area. This presented a significant challenge as the catamaran needed to be built in less than 18 months. The hydrofoils, despite being less than two square feet in surface area, needed to be able to lift the entire boat and its two-man crew out of the water. The 30ft mast at the heart of the rigid wingsail carries almost 4000 lb. of compression while weighing less than 30lbs. The team needed to drive innovation and use the best materials possible to meet these requirements.
Case Study
Leveraging IoT in Formula SAE Contests: A Case Study of Cal Poly Pomona Formula SAE Team
The Cal Poly Pomona Formula SAE (CPPFSAE) team, a student-run team participating in the Formula SAE® contests, faced a significant challenge in their quest to be among the best in the competition. Each year, the team sought to apply new materials and technologies to improve their race cars. However, the introduction of new materials such as composites created new requirements and design and development challenges. The team's goal was to leverage the advantages of each material, such as lightweight design or stiffness potential, but each material had to be designed individually. A specific challenge arose when the team decided to design and optimize a new wheel shell. They needed a software tool that would allow them to create a composite laminate design. They encountered difficulties in getting the carbon fiber laminate prepreg to conform to their mold, which they attempted to solve by increasing the number of debulking cycles and switching to hot debulk. A post machining process on the wheel was also necessary.
Case Study
Minimising Mass and Increasing Durability of a Vehicle Suspension System Using HyperStudy & OptiStruct
Gestamp, a global chassis component supplier, was faced with the challenge of reducing the mass and increasing the durability of a rear twist beam (RTB) suspension system. The RTB design is a complex task that requires careful consideration of elastokinematic performance in addition to meeting stiffness and durability targets. The design of experiments (DOE) and optimisation methods were being used to explore the available design space and minimise the mass of a low cost RTB design. The durability requirement was identified as one of the main mass drivers for this type of RTB design. The design of a “U Section” RTB typically requires consideration of several interlinked targets, including Roll Stiffness and Roll Steer, which are strongly influenced by the shape, position and gauge of the torsion element.
Case Study
Improving Rudder Shock Loading Following a Nearby Blast Event Using RADIOSS
The challenge was to assess the capability of a ship's rudder assembly to withstand the shock loading following a nearby blast event. This was a critical task as the engineers in the Marine, Shipbuilding, and Offshore industries face many design challenges including physical space constraints, extreme weather conditions, deep water and remote locations. These constraints create an extreme environment for the engineer to develop a sound, reliable and safe operating platform. Prior to the installation of a modified design of a ship's steering gear, it was required to assess the capability of the rudder assembly to withstand the shock loading following a nearby blast event.
Case Study
Predicting & Eliminating Squeak & Rattle Noise at FIAT with IoT
FIAT, one of the world’s largest vehicle manufacturers, faced a significant challenge in accurately simulating and eliminating squeak and rattle noise in their passenger cars. These noises, which occur when two parts of an assembly are in relative motion due to a specific excitation load, were often interpreted by customers as a lack of quality in the product. Previously, FIAT had only been able to study the potential for these noises by testing physical components produced using near-final designs. If any noise issues were discovered, the team could only apply quick fixes, which were often time-consuming and costly. FIAT’s NVH (Noise, Vibration, and Harshness) Department wanted to explore the potential of studying squeak and rattle during the virtual design stage, using a simulation-based methodology that could be implemented inside a tool around which they could build a new design process.
Case Study
Enhancing Sports Impact Simulations with HyperWorks: A Case Study at Loughborough University's STI
The Sports Technology Institute (STI) at Loughborough University, a leading research group in sports engineering, was faced with the challenge of generating complex human surrogate models to simulate sports impact scenarios. These scenarios are crucial for the development and testing of personal protective equipment (PPE) in sports. The human body, with its intricate tissue structures and complex anatomical geometries, is incredibly difficult to replicate accurately. The challenge was further compounded by the need for high-quality meshes that could provide a good description of these complex geometries. The quality of a mesh significantly affects model behaviour, making it a key factor in the research. The institute needed a solution that could handle these complexities and provide accurate, high-quality models for their research.
Case Study
Mabe’s Continual Performance Improvement of Washing Machines with a Multi-Disciplinary Approach
Mabe, a Mexico-based international appliance company, was faced with the challenge of improving the performance of their washing machines by simulating subsystem interactions. The company aimed to increase the capacity and spin speed of their washing machines while reducing the cost per cubic foot. They also sought to improve the energy and water factors of their machines and reduce the product development cycle time. Mabe had been using Altair technology since 2006 for structural analysis and impact and drop-testing simulations. However, they saw an opportunity for increased value from Altair’s multi-disciplinary approach and aimed to leverage the benefits derived from simulations of ever-increasing fidelity and scope.
Case Study
Serapid's Innovative Use of Altair SimSolid for Supplier Parts Simulation
Serapid, a company that designs systems for the transfer of heavy loads, often works with dummy geometries of parts from suppliers. These parts, which are to be installed on the platform, are essentially hollow solids. While these dummies are crucial for Serapid to properly size the platform and position the parts, they pose a challenge when simulating the complete structure. The company needs to load the structure with the weights of the installed devices, a process that can be time-consuming and complex. The weight of each part is applied in its center of gravity (COG), which is a remote load application point. This means that the COG of each part needs to be evaluated and spots on the platform where the remote load will be brought to need to be created. This process can be particularly challenging and time-consuming when many devices are installed.
Case Study
Rapid Development of a Robust, Life-saving Defence Vehicle Module
Integrated Design and Engineering Solutions (IDES), a Melbourne-based engineering product development and systems integration company, was tasked with a challenging assignment by the Australian Defence Organization (ADO). The project, known as LAND 121 Phase 3A, involved the procurement of around 2,200 Mercedes-Benz G-Wagon light trucks for the Australian Army. One of the variants of these vehicles was intended to be used as a surveillance and reconnaissance (S&R) vehicle. The IDES team was required to design a module for this vehicle that would provide adequate protection for the rear observer in the event of a vehicle rollover. The team decided to build a vehicle rollover protection structure (ROPS) in the form of a tubular roll cage structure. However, the traditional method of developing such a structure, which involves iterative physical testing, was deemed too time, effort, and cost-intensive for the project's tight timeline.
Case Study
Optimising the COLLAPSECON C-400: A Case Study in IoT and Shipping Logistics
The shipping and logistics industries are responsible for facilitating over 90% of global trade, utilizing an estimated 35 million containers worldwide. However, global trade deficits result in 1 in 5 containers being shipped empty, leading to losses of over $30 billion annually. CEC Systems’ COLLAPSECON® provides an innovative solution to this problem, with a collapsible container design that improves operational efficiency and reduces environmental impact. However, the COLLAPSECON® design faced challenges due to over-engineering to meet industry ISO standards and pass manufacture testing. The units were nearly three times heavier than a standard container, due to the addition of moving parts and unique structural components. The complex geometries used in the design were also incompatible with traditional manufacturing methods, potentially leading to increased manufacturing costs. To optimise the COLLAPSECON® C-400 design for mass production and operational use, CEC Systems partnered with The Singapore Institute of Manufacturing Technology (SIMTech).
Case Study
Engineering Design Using a Small Autonomous Robot for Student Education at Aichi University Technology
The importance of practical education for industrial engineering has been gaining recognition globally. Aichi University Technology (AUT) in Japan has been implementing many effective educational programs for students to acquire practical skills and knowledge. Among these, robot designing is one of the most effective for engineering design. As part of this initiative, AUT participated in a demonstration test competition aiming for future Mars exploration - A Rocket Launch for International Student Satellites (ARLISS). The challenge was to design an autonomous robot that could be launched from a rocket, land safely, and then autonomously travel to a specified target. The design process involved the use of computer-aided tools (CAD, CAM, CAE) and the evaluation of the stress in the robot’s structure.
Case Study
Leveraging Altair FEKO for the Creation of the World’s Smallest TV Antenna
The Universidad Autónoma del Estado de Morelos (UAEM) in Mexico was faced with the challenge of designing low-cost, lightweight antennas for TV and automotive applications. The goal was to make modern day communications, including TV and GPS, more affordable for the masses, particularly in developing countries. The challenge was particularly significant in the context of TV reception, where the successful transmission of signals to remote areas, especially indoors, was often problematic. The traditional solution, a Yagi array antenna, provided a directed beam towards the TV tower, but the team at UAEM sought to develop an antenna that was smaller, lighter, and improved signal stability.
Case Study
Optimizing Tailor Rolled Blanks Processes with High Performance Computing at Mubea
Mubea, a global supplier of automotive lightweight components, is the only supplier for Tailor Rolled Blanks (TRB), a cold rolling process that tailors sheet thicknesses to meet the needs of an automotive Body in White (BIW) structure. The company supports its customers by identifying lightweight potentials in a vehicle, designing proper tailor rolled parts, and conducting full light weight studies with full vehicle models with their own CAE resources. However, the design optimization of Tailor Rolled Blanks is normally based on explicit dynamic simulations, also known as crash simulations. Due to the large size of these crash models, a single simulation run takes between one to twelve hours. Exploring different design concepts leads to various simulation runs and potential optimization, but due to the long run times, this becomes prohibitive and can easily exceed a project’s allotted time frame, which decreases innovations.
Case Study
Digital Twin for Sustainable Energy: Enhancing Fusion Powerplant's Lifetime Value
Assystem, an international engineering and digital services group, was contracted by the United Kingdom Atomic Energy Authority (UKAEA) to develop physics-based digital twins for their operational fusion powerplants. The challenge was that fusion powerplants required complex digital simulation models during the design assessment phase. The inspection and maintenance intervals and total life of these powerplants were defined based on the expected loading on the as-designed model, which often differed from the actual loads the plant was subjected to. This discrepancy provided a scope for programs aimed at improving the plant’s lifetime value or quantifying the effects of higher-than-expected usage. Assystem wanted to leverage the expensive design models to create a digital twin by inputting the sensor data that was livestreamed from the plant. This would help engineers understand the plant’s structural integrity and further optimize inspection and maintenance schedules.
Case Study
Building an Efficient CAE Simulation Platform at the Pan Asia Automotive Technology Center
The Pan Asia Automotive Technology Center (PATAC), a joint venture between General Motors and SAIC Motor, was facing challenges in managing its computer-aided engineering (CAE) simulation technology. As PATAC's analytical technology improved, the volume of its CAE analysis tasks increased, and the subject and application fields expanded. Engineers needed a system to store, reuse, and share models, and synchronize iterative design schemes in different simulation fields for collaboration. Additionally, PATAC was promoting the digital transformation of its research and development system. The company needed a simulation management platform to manage daily analysis work, structure CAE data systematically, improve visualization of results and processes, and track analysis cases more easily.
Case Study
IBERIABANK Streamlines Reconciliation Process with Altair
IBERIABANK, a financial institution with a growing footprint across the southeast U.S., was facing a significant challenge with its general ledger account reconciliation process. The bank, which manages approximately 20 billion dollars in assets, had to reconcile millions of rows in the general ledger, a process that was laborious and time-consuming. Some accounts were reconciled monthly, others daily, but regardless of the frequency, the process was a drain on resources. As the bank continued to grow, the need for an automated reconciliation process became increasingly clear. The bank's Controller, Denny Pagnelli, highlighted the issue, noting the 19 gigabytes of data that needed to be reconciled.
Case Study
Automotive Parts Supplier Enhances Efficiency and Accuracy with Altair® Monarch®
A leading global automotive parts supplier, with over 300 manufacturing centers and close to 90 product development, engineering and sales centers in 30 countries, faced a significant challenge when it expanded its operations to a new facility in the southcentral United States. The company's business model is based on invoicing against the cost of each component used in the manufacturing of a final product. On average, over 100 different components were used in each finished unit, with the number often exceeding 250 for custom variations. The supplier needed to validate, reconcile, and report on all the components used to manufacture the final unit for the automaker. Poor inventory controls and inaccurate supply chain reporting were impacting the supplier’s operational costs and revenue numbers. Additionally, the automaker required that each component used in the final unit be mapped to the Vehicle Identification Number (VIN) of the fully manufactured vehicle. The number of different data sources and formats used in this process demanded a solution that was easy to use, could extract needed information from disparate data sources, and ensure accurate, timely, flexible reporting and invoicing.
Case Study
Automating Crankshaft Modeling for BMW Motorrad Using Altair SimLab™
BMW Motorrad, the motorcycle division of BMW, was facing a challenge with the crankshaft model building process. The process was previously outsourced to external providers, with the average time taken for a model being between 1-2 weeks depending on the engine type. The organization required an annual estimate of new crankshaft models to be produced for budgetary decisions. However, the actual production of the models often fell short of estimates due to varying constraints on the part of the suppliers. Additionally, for any additional crankshaft models when required, the overall order processing time could be lengthy. To facilitate effective budgetary planning and decision-making, accuracy in model production forecasts with a high degree of confidence became necessary.
Case Study
DSA Streamlines Marine Hydrodynamics Analyses with HyperWorks, ProteusDS and ShipMo3D
DSA, an ocean engineering consultancy and software company, faced a significant challenge in creating high-quality hydrodynamic meshes and models for ship and marine structures. The task of creating high-quality meshes is a complex one in CAD software, as the mesh often isn't well conditioned for hydrodynamic solutions which require a closed surface for resolving hydrodynamic effects such as nonlinear hydrostatics and BEM solution. To build an accurate ship hydrodynamic model, ShipMo3D, one of DSA's software, requires the development of a mesh of the vessel hull. This could be achieved either through the creation of hull lines or through importing an OBJ mesh file created using third-party software. However, both these methods were time-consuming and often resulted in less than optimal meshes.
Case Study
Fatigue Strength Assessment of Elastic Couplings under Rotating Loads Using FKM Guideline
Elastic couplings, frequently used in industries like automobile, power, and manufacturing, present a unique challenge due to their nonlinear characteristics, relative rotation, and large cycle number of the radial load. These peculiarities do not allow the usage of the superposition principle of loads, meaning that every possible combination of loads (axial force, radial force, and torsional torque) must be separately considered. This results in a large number of load cases and consequently a large number of strength assessments. The simple assessment of the superimposed stress states, resulting from a single unit load, would lead to false results, possibly showing a higher component strength than in reality, which could result in a failure of the part. Therefore, all load combinations must be simulated and subsequently assessed against the fatigue strength accordingly.
Case Study
Asphalt Dryer Optimization: Astec's Energy Saving Solution with Altair EDEM
Astec, Inc., a manufacturer of continuous and batch-process hot-mix asphalt plants, was faced with the challenge of developing a more energy-efficient drum dryer that could process a wide range of aggregate types at various tonnage rates. The drying process in asphalt production is energy-intensive, requiring hundreds of tons per hour of wet aggregate rock to be dried in a rotating drum dryer before being coated with liquid asphalt. This process ensures that the asphalt will bind to the rock. Inside the drum, the aggregate is kept in motion by shaped scoops called flights attached to the inner surface, which produce a 'veil' of falling material. Better veiling action improves heat transfer and speeds drying, reducing fuel consumption. However, direct observation of the drum in operation is very difficult, making it challenging to experiment with new flight designs.
Case Study
Powering Drug Discovery: High-Performance Computing at Johnson & Johnson
Johnson & Johnson, a global healthcare giant, required on-demand compute capacity at scale for its research, particularly for Janssen Pharmaceuticals, which was working on the COVID-19 vaccine. The company needed to easily scale down this capacity when not in use, a feat only achievable with cloud infrastructure. Janssen was operating over 10 production High-Performance Computing (HPC) clusters on Amazon Web Services (AWS), used by scientists and developers worldwide. However, they were seeking an off-the-shelf solution to replace the open-source Grid Engine and a cloud management tool that no longer supported their preferred vendor. The challenges included accommodating existing infrastructure and systems that had evolved over a decade, managing a complex networking setup, and integrating into configuration and change management systems. Furthermore, each cluster was configured differently, adding to the complexity.
Case Study
Flexibility and Cost Efficiency in Automotive Development: A Case Study on HBPO GmbH
HBPO GmbH, a joint venture of global leaders in automotive components, specializes in the development, assembly, and logistics of complete front-end modules for vehicle manufacturers. The challenge lies in the complexity of these modules, which require numerous components like headlights, radiator grille, bumper, front-end carrier, and components of the vehicle’s air conditioning, engine cooling, and crash management system. Depending on customer requests and preset specifications, HBPO covers assembly, development, and systems integration projects. The development and assembly of a front-end module require a wide variety of simulation applications, such as structural analysis, molding simulation, virtual crash tests, material data management, and more. Numerous varying software tools are required, some of which are only rarely used. To cover all these disciplines, it is crucial for HBPO to keep the development costs as low as possible and to have access to the required tools whenever they are needed.
Case Study
Subaru's Migration to Cloud-Based High-Performance Computing for Enhanced Vehicle Safety
Subaru, a global automobile and aircraft manufacturer, is committed to achieving zero fatal traffic accidents by 2030. To reach this goal, the company needs to continually innovate and ensure high collision safety, which requires conducting Computer-Aided Engineering (CAE) simulations using High-Performance Computing (HPC). Subaru had been maintaining its own HPC environment near its main manufacturing facility in Japan’s Gunma prefecture. However, as the computational processing requirements for simulation increased, the team faced a shortage of power and space for expansion. They started using a private cloud located in a remote data center in Tokyo, which required a dedicated line for user access. Due to the high cost, they decided to evaluate public cloud options and sought recommendations from the Japan Automobile Manufacturers Association’s cloud working group.
Case Study
Real-Time Air Quality Monitoring with IoT and Cloud Infrastructure
SS Global, a firm offering consultancy and IoT integration services, faced a challenge in developing a real-time, detailed picture of the Air Quality Index (AQI) throughout a metropolitan region. They utilized IoT sensor data on temperature, humidity, and concentrations of particulate matter and atmospheric gases. The engineers needed the ability to play back historical data in real time or faster to examine and understand trends and causal relationships between weather, AQI, and other factors. It was also critical for the system to flag irregularities and anomalies in AQI and atmospheric changes that could indicate future problems affecting the local population.
Case Study
Automating Reporting Process in Automotive Industry: A Case Study of F.tech R&D North America
F.tech R&D North America, a world-class certified Tier-1 international automotive systems supplier, was facing a challenge in their reporting process. The company utilizes HyperView to investigate test results, using the data to inform decisions on methods to improve designs. This data is often used to create reports and presentations during the development process, using images and animations generated by HyperView to illustrate particular areas of a component where additional work may be required. However, exporting these assets was a highly manual process of loading in results, positioning the model and taking screenshots. This was time-consuming and took away from the engineers' time to focus on exploring and interpreting the results. F.tech R&D North America wanted a way of automating this process to reduce the time taken to produce project reports.
Case Study
Optimizing Enterprise IT Investment: A Case Study on SEGULA Technologies and Altair’s SAO Solution
SEGULA Technologies, an international engineering consultancy, faced a significant challenge in managing and monitoring a vast variety of commercial software licenses across the enterprise. As an engineering service provider, the company extensively uses computer-aided engineering (CAE), computer-aided design (CAD), and other commercial development software. The usage of these software tools varied, with some being used more frequently than others. However, all tools could be utilized on certain projects. The company needed to efficiently manage the peaks and valleys in software usage. Prior to implementing a solution, each business unit gauged its software requirements based on subjective data, leading to inefficiencies and potential overuse or underuse of licenses. The company sought a solution to optimize software usage, improve decisions on software renewal and acquisition, and better manage its IT budget.
Case Study
Euro-Pro's Transition to Simulation-Driven Design with Altair HyperWorks®
Euro-Pro, a rapidly growing consumer products manufacturer, faced a challenge in its product development process. The company's product development was heavily reliant on physical prototype testing, which was time-consuming, costly, and often failed to provide a comprehensive understanding of product behavior during tests such as drops or impacts. The company wanted to increase the use of simulation to conduct more in-depth analysis of scenarios that were difficult or impossible to test physically, such as internal structural failures. The goal was to identify the root cause of product failures more accurately and provide better guidance to the engineering and product design teams. The company also aimed to test materials prior to their introduction on future generation products, with the hope of positively influencing the overall product portfolio direction in terms of market appeal, quality, reliability, and durability.
Case Study
Scania's Simulation Driven Design Process for Efficient Vehicle Development
Scania, an international manufacturer of commercial vehicles and engines, was faced with the challenge of speeding up their design and development processes to produce lighter yet structurally and functionally efficient component designs. The automotive and commercial vehicle industries face many challenges when bringing a new product to market, including CO2 emission regulations and customer demands for more efficient vehicles. There is also high competition and pricing pressure in this market, forcing development teams to speed up their development process to achieve a shorter time to market. Scania's traditional process involved physical testing of prototypes, which led to many iteration loops between design and engineering departments, slowing down the development process.
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Supplier
PTC
PTC is a global provider of technology platforms and solutions that transform how companies create, operate, and service the "things" in the Internet of Things (IoT). The company's next-generation ThingWorx technology platform gives developers the tools they need to capture, analyze, and capitalize on the vast amounts of data being generated by smart, connected products and systems. The company's field-proven solutions are deployed in more than 26,000 businesses worldwide to generate a product or service advantage. PTC's award-winning CEO, considered an industry thought leader, co-authored the definitive guides to the impact of the IoT on business in the Harvard Business Review.
Supplier
C3 IoT
C3 IoT provides a full-stack IoT development platform (PaaS) that enables the rapid design, development, and deployment of even the largest-scale big data / IoT applications that leverage telemetry, elastic Cloud Computing, analytics, and Machine Learning to apply the power of predictive analytics to any business value chain. C3 IoT also provides a family of turn-key SaaS IoT applications including Predictive Maintenance, fraud detection, sensor network health, supply chain optimization, investment planning, and customer engagement. Customers can use pre-built C3 IoT applications, adapt those applications using the platform’s toolset, or build custom applications using C3 IoT’s Platform as a Service.Year founded: 2009
Supplier
Saviant
Saviant is the preferred Data Analytics & Intelligent Solutions partner for leading Asset-intensive and Field-force driven Enterprises across industries like Energy, Utilities, Logistics & Construction. We are the trusted Technology Advisors and Implementation Partners for their strategic initiatives around Data Analytics, IoT, Cloud & Mobility. Our teams enable intelligent actions & accelerated business outcomes for our customers across the globe, by defining their Technology Roadmap & Implementation Strategies. Saviant is a Microsoft Gold Partner for Cloud Platform, Data Analytics, Application Development & Xamarin Premier Consulting Partner.
