A Comprehensive Evaluation of Simulating Thermal Conductivity in Oak Wood Using XCT Imaging

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Publicado en:Forests vol. 16, no. 5 (2025), p. 834
Autor principal: Zhao Jingyao
Otros Autores: Chen, Bonan, Lv Jiajun, Yi Jiancong, Yuan Liying, Liu Yuanchu, Cai Yingchun, Xiang, Chi
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MDPI AG
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024 7 |a 10.3390/f16050834  |2 doi 
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045 2 |b d20250501  |b d20250531 
084 |a 231463  |2 nlm 
100 1 |a Zhao Jingyao 
245 1 |a A Comprehensive Evaluation of Simulating Thermal Conductivity in Oak Wood Using XCT Imaging 
260 |b MDPI AG  |c 2025 
513 |a Journal Article 
520 3 |a Wood drying is the most critical and energy-intensive process in the wood industry. However, the complex pore structure of wood significantly affects its thermal performance. Therefore, it is essential to study the relationship between the pore structure and the thermal properties of wood. In this study, X-ray-computed tomography (XCT) technology, combined with digital image processing (DIP) techniques, was used to visualize and characterize the three-dimensional structure of oak samples. Parameters such as porosity, pore size and distribution, and fractal dimensions were obtained to investigate their relationship with thermal conductivity. Subsequently, the thermal conductivities of the oak samples in the tangential, radial, and axial directions were simulated based on their three-dimensional structure. The simulation results were validated using the transient plane source method (TPS). The results showed that there were significant differences in porosity and pore size between earlywood and latewood, which in turn affect the correlation between fractal dimension and thermal conductivity. The higher the self-similarity of the wood structure is, the stronger the correlation between porosity and fractal dimension will be. Due to the limitations of CT resolution and threshold segmentation methods, there may be some axial deviations in the heat transfer simulation based on XCT. However, overall, this method provides a relatively accurate estimate of the effective thermal conductivity of oak wood. In addition, the pit structure and the research on heat conduction of wood-based multi-scale pore structures are of crucial importance to the study of heat conduction in wood. 
653 |a Digital imaging 
653 |a Software 
653 |a Accuracy 
653 |a Thermal conductivity 
653 |a Wood 
653 |a Fractal geometry 
653 |a Nuclear magnetic resonance--NMR 
653 |a Thermodynamic properties 
653 |a Thermal properties 
653 |a Fractals 
653 |a Image processing 
653 |a Heat conductivity 
653 |a Conduction 
653 |a Self-similarity 
653 |a Moisture content 
653 |a Simulation 
653 |a Porosity 
653 |a Conductive heat transfer 
653 |a Heat transfer 
653 |a Temperature effects 
653 |a Computed tomography 
653 |a Transient plane source technique 
653 |a Conduction heating 
653 |a Porous materials 
653 |a Pore size 
653 |a Hot pressing 
653 |a Three dimensional imaging 
653 |a Pore size distribution 
653 |a Oak 
653 |a Environmental 
700 1 |a Chen, Bonan 
700 1 |a Lv Jiajun 
700 1 |a Yi Jiancong 
700 1 |a Yuan Liying 
700 1 |a Liu Yuanchu 
700 1 |a Cai Yingchun 
700 1 |a Xiang, Chi 
773 0 |t Forests  |g vol. 16, no. 5 (2025), p. 834 
786 0 |d ProQuest  |t Agriculture Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3211971307/abstract/embedded/75I98GEZK8WCJMPQ?source=fedsrch 
856 4 0 |3 Full Text + Graphics  |u https://www.proquest.com/docview/3211971307/fulltextwithgraphics/embedded/75I98GEZK8WCJMPQ?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3211971307/fulltextPDF/embedded/75I98GEZK8WCJMPQ?source=fedsrch