Volume 6, Issue 2
Simultaneous Determination of Thickness and Heat Conductivity in Fabric Design: Steady-state Modeling and PSO Algorithms

Peng Cui & Dinghua Xu

Journal of Fiber Bioengineering & Informatics, 6 (2013), pp. 195-204.

Published online: 2013-06

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  • Abstract

Fabric thickness and texture directly affect heat and moisture transfer characteristics in the human body-fabric-environment system, which determine the heat-moisture comfort level of the human body. Based on the model of steady-state heat and moisture transfer from skin to environment, we put forward an Inverse Problem of Thickness-texture Determination (IPTTD). Adopting the idea of the least-squares method, we formulate IPTTD into a function minimization problem. We employ Particle Swarm Optimization (PSO) method to directly search optimal solution of the objective function. The results of numerical simulation show the effectiveness of the presented algorithms and validity of the proposed IPTTD.

  • Keywords

Inverse Problems Thickness and Texture Determination Fabric Heat and Moisture Transfer Weighted Least-squares Solution Particle Swarm Optimization

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COPYRIGHT: © Global Science Press

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@Article{JFBI-6-195, author = {}, title = {Simultaneous Determination of Thickness and Heat Conductivity in Fabric Design: Steady-state Modeling and PSO Algorithms}, journal = {Journal of Fiber Bioengineering and Informatics}, year = {2013}, volume = {6}, number = {2}, pages = {195--204}, abstract = {Fabric thickness and texture directly affect heat and moisture transfer characteristics in the human body-fabric-environment system, which determine the heat-moisture comfort level of the human body. Based on the model of steady-state heat and moisture transfer from skin to environment, we put forward an Inverse Problem of Thickness-texture Determination (IPTTD). Adopting the idea of the least-squares method, we formulate IPTTD into a function minimization problem. We employ Particle Swarm Optimization (PSO) method to directly search optimal solution of the objective function. The results of numerical simulation show the effectiveness of the presented algorithms and validity of the proposed IPTTD.}, issn = {2617-8699}, doi = {https://doi.org/10.3993/jfbi06201308}, url = {http://global-sci.org/intro/article_detail/jfbi/4834.html} }
TY - JOUR T1 - Simultaneous Determination of Thickness and Heat Conductivity in Fabric Design: Steady-state Modeling and PSO Algorithms JO - Journal of Fiber Bioengineering and Informatics VL - 2 SP - 195 EP - 204 PY - 2013 DA - 2013/06 SN - 6 DO - http://doi.org/10.3993/jfbi06201308 UR - https://global-sci.org/intro/article_detail/jfbi/4834.html KW - Inverse Problems KW - Thickness and Texture Determination KW - Fabric KW - Heat and Moisture Transfer KW - Weighted Least-squares Solution KW - Particle Swarm Optimization AB - Fabric thickness and texture directly affect heat and moisture transfer characteristics in the human body-fabric-environment system, which determine the heat-moisture comfort level of the human body. Based on the model of steady-state heat and moisture transfer from skin to environment, we put forward an Inverse Problem of Thickness-texture Determination (IPTTD). Adopting the idea of the least-squares method, we formulate IPTTD into a function minimization problem. We employ Particle Swarm Optimization (PSO) method to directly search optimal solution of the objective function. The results of numerical simulation show the effectiveness of the presented algorithms and validity of the proposed IPTTD.
Peng Cui & Dinghua Xu. (2019). Simultaneous Determination of Thickness and Heat Conductivity in Fabric Design: Steady-state Modeling and PSO Algorithms. Journal of Fiber Bioengineering and Informatics. 6 (2). 195-204. doi:10.3993/jfbi06201308
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