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Inverse Problem of Textile Material Design at Low Temperature Solved by a Hybrid Stochastic Algorithm

Research and development

Authors:

  • Weng Ming
    Ministry of Education, Key Laboratory of Advanced Textile Materials and Manufacturing Technology, Zhejiang Sci-Tech University (ZSTU), Hangzhou, P. R. China
  • Xu Dinghua
    Department of Mathematics, College of Science, Zhejiang Sci-Tech University (ZSTU), Hangzhou, P. R. China
  • Zhou Xiaohong
    Ministry of Education, Key Laboratory of Advanced Textile Materials and Manufacturing Technology, Zhejiang Sci-Tech University (ZSTU), Hangzhou, P. R. China

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Abstract:

The inverse problem of textile material design (IPTMD) aims to determine textile materials with optimum thermal conductivities for the thickness designed in terms of the thermal comfort requirements of the wearer. In this paper, an IPTMD is presented on the basis of the physical nature of steady heat and moisture transfer in a human body-clothing-environment system. A globally convergent algorithm, the modified particle collision algorithm (MPCA), is proposed and its validity is verified. The MPCA is applied to solve the IPTMD for single-layer textile materials at low temperature. Numerical simulation results of the IPTMD proved the suitability of the IPTMD and effectiveness of the MPCA in solving complex global optimisation problems. The encouraging results indicate that the modelling method above and optimisation algorithm can be used for further applications.

Tags:

inverse problem, textile design, hybrid stochastic algorithm, optimisation method.

Citation:

Weng M, Xu D, Zhou X. Inverse Problem of Textile Material Design at Low Temperature Solved by a Hybrid Stochastic Algorithm. FIBRES & TEXTILES in Eastern Europe 2015; 23, 2(110): 40-44.

Published in issue no 2 (110) / 2015, pages 40–43.

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