Abstract
AbstractIn past studies, finite element analysis (FEA) methods have been used to simulate the thermal and moisture coupling of wood. However, challenges remain in achieving high-quality three-dimensional (3D) simulations, mainly because of the heterogeneous and complex structure of wood and its difficult-to-detect internal structure, which makes modeling challenging, in addition to the lack of robust experimental techniques to validate simulation results. In this study, the FEA simulation model was refined by combining X-ray computed tomography (CT) and near-infrared hyperspectral imaging (NIR-HSI). CT was used to probe the 3D density of wood, and a novel FEA tetrahedral mesh was constructed based on the results. The NIR-HSI method visualizes the moisture distribution during adsorption and desorption inside the wood. This result is then used to adjust the parameters of the FEA simulation model and as a reference value to evaluate the simulation results. The visualization and simulation results fit well with the theoretical properties. The simulation results can more accurately reflect the spatial distribution and transfer trend of wood moisture at different points in time. Therefore, the CT and NIR-HSI-based 3D heat and moisture-coupled FEA model of wood proposed in this study can be used as a basis for optimizing drying parameters to provide high-quality wood.
Funder
Japan Society for the Promotion of Science
Publisher
Springer Science and Business Media LLC
Reference34 articles.
1. Fredriksson M (2019) On wood–water interactions in the over-hygroscopic moisture range—Mechanisms, methods, and influence of wood modification. Forests 10(9):779
2. Eriksson J, Ormarsson S, Petersson H (2006) Finite-element analysis of coupled nonlinear heat and moisture transfer in wood. Num Heat Transf Part A Appl 50(9):851–864
3. Gu, H., & Hunt, J. F. (2007). Two-dimensional finite element heat transfer model of softwood. Part III. Effect of moisture content on thermal conductivity. Wood Fiber Sci 159–166.
4. Zhu Z, Kaliske M (2011) Modeling of coupled heat, moisture transfer and mechanical deformations of wood during drying process. Eng Comput 28(7):802–827
5. Varnier M, Sauvat N, Ulmet L, Montero C, Dubois F, Gril J (2020) Influence of temperature in a mass transfer simulation: application to wood. Wood Sci Technol 54:943–962