Enhancing Wood Heat Treatment Processes: A Case Study of U.S.D.A. Forest Products Laboratory
Technology Category
- Sensors - Thermal Conductivity Sensors
- Sensors - Utility Meters
Applicable Industries
- Agriculture
- Buildings
Applicable Functions
- Product Research & Development
Use Cases
- Structural Health Monitoring
About The Customer
The customer in this case study is the U.S.D.A. Forest Products Laboratory, established in 1910 by the U.S. Department of Agriculture Forests Service. Located in Madison, Wisconsin, it serves the public as the nation’s leading wood research institute and is internationally recognized as an unbiased technical authority on wood science and utilization. The lab plays a crucial role in the public-private partnership needed to create technology for the long-term sustainability of forests. One of its key areas of research is the thermal conductivity of wood, which is critical in the drying process.
The Challenge
The U.S.D.A. Forest Products Laboratory, a leading wood research institute, was facing challenges in accurately determining the thermal conductivity of wood, a critical factor in the wood drying process. The conventional equations used for this purpose, developed over 50 years ago, only provided a rough guideline for certain types of wood. This led to lumber mills and wood processing companies having to perform costly and time-consuming trial-and-error tests to determine the proper temperatures and drying times, often resulting in high scrap rates. The heat transfer coefficients of wood depend on many variables including ring density, tree age, initial moisture content, and cell orientation. These characteristics are usually not uniform across all sections of the same tree, with wood structure affected by seasonal weather differences. Furthermore, ring density in small versus large-diameter trees varies widely depending on growth rates for different conditions such as surrounding vegetation and climate.
The Solution
To address this challenge, the laboratory developed models using ANSYS Parametric Design Language (APDL) to simulate the structural variation of cell porosity and alignment in determining effective heat transfer coefficients. On a macro level, boards cut from different locations in a typical log were modeled, solved, and plotted to examine the effects of wood structure on the transient heat transfer process using thermo conductivity values obtained from the micro-level analyses. Dozens of simulations were required to determine the heat transfer rate for a range of wood geometries and structural conditions. APDL enabled repetitive analyses of these varying parameters by allowing different values to be inserted and multiple analysis re-run without manually rebuilding multiple simulations.
Operational Impact
Quantitative Benefit
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