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Optimal Thickness Design of Thermal Protective Clothing

Received: 8 April 2019     Published: 15 June 2019
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Abstract

Under the premise of ensuring the protective effect, it is of great significance to design the optimal protective suit. In this paper, under the premise of analyzing the basic temperature distribution, the optimal thickness of the protective clothing is optimized. First, a temperature distribution model based on the heat transfer equation. The partial differential equations of temperature, time and spatial position are written for fabric layers I, II, III and air layer IV respectively. The initial and boundary conditions are given according to the measured external temperature and thermodynamic laws of skin. The finite difference method is used to numerically solve the partial differential equations to obtain the temperature distribution at different time and space. It was found that the human skin temperature increased with time and reached a steady state at time t=1645s. Then the optimal thickness is solved. Under the condition of meeting the basic safety requirements, the constraint optimization model with the optimal II layer thickness (ie the thinnest and the lowest cost) as the objective function is established. Then use the particle swarm optimization algorithm based on dynamic target method to solve. The optimum layer thickness was found to be 6.2 mm. Finally, the model was tested. Using the finite element heat transfer analysis of ANSYS workbanch to simulate the temperature distribution in the actual material, the similarity is high, which proves that the temperature distribution model is more accurate. This model can be extended to other heat transfer related clothing and container optimal thickness design.

Published in Science Discovery (Volume 7, Issue 3)
DOI 10.11648/j.sd.20190703.14
Page(s) 152-160
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

Thermal Protective Clothing, Heat Transfer Model, Finite Difference Method, Particle Swarm Optimization, ANSYS Finite Element Analysis

References
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[3] 朱方龙.服装的热防护功能[M].北京:中国纺织出版社,2015: 98-131. ZHU FangLong. Clothing Thermal ProtectionFunction [M]. Beijing: China Textile & Apparel Press, 2015: 98-131.
[4] CHITRPHIROMSRI P,KUZNETSOV A V. Modeling heat and moisture transport in firefighter protective clothing during flash fire exposure [J]. Heat and MassTransfer, 2005, 41(3): 206-215.
[5] MELL W E,LAWSON J R. Heat transfer model for firefighter's protective clothing [J]. Fire Technol, 1999, 36: 39-68.
[6] AHMED GHAZY, DONALD J BERGSTROM. Numerical simulation of heat transfer in firefighters' protective clothing with multiple air gaps during flash fireexposure [J]. Numerical Heat Transfer Applications,2012,61(8): 569-593.
[7] 李萍,张磊,王垚廷.基于Matlab的偏微分方程数值计算[J].齐鲁工业大学学报(自然科学版),2017,31(04):39-43.
[8] 潘斌. 热防护服装热传递数学建模及参数决定反问题[D].浙江理工大学,2017.
[9] 徐定华.纺织材料热湿传递数学模型及设计反问题.北京:科学出版社2014.
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[11] 张建峰,王翠玲,吴玉萍,顾明.ANSYS有限元分析软件在热分析中的应用[J].冶金能源,2004(05):9-12.
[12] 林冬华,武文斌,朱珊珊,李聪.磨辊轴承热力学有限元分析[J].现代面粉工业,2017,31(01):11-13.
[13] 潘从芳,娄毅,蔺红,张起瑞,杨一,胡贺明.基于ANSYS的温度场仿真分析[J].工业控制计算机,2015,28(08):104-105.
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Cite This Article
  • APA Style

    Zhuojun Yao, Yuefeng Li, Zhihong Liu. (2019). Optimal Thickness Design of Thermal Protective Clothing. Science Discovery, 7(3), 152-160. https://doi.org/10.11648/j.sd.20190703.14

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    ACS Style

    Zhuojun Yao; Yuefeng Li; Zhihong Liu. Optimal Thickness Design of Thermal Protective Clothing. Sci. Discov. 2019, 7(3), 152-160. doi: 10.11648/j.sd.20190703.14

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    AMA Style

    Zhuojun Yao, Yuefeng Li, Zhihong Liu. Optimal Thickness Design of Thermal Protective Clothing. Sci Discov. 2019;7(3):152-160. doi: 10.11648/j.sd.20190703.14

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  • @article{10.11648/j.sd.20190703.14,
      author = {Zhuojun Yao and Yuefeng Li and Zhihong Liu},
      title = {Optimal Thickness Design of Thermal Protective Clothing},
      journal = {Science Discovery},
      volume = {7},
      number = {3},
      pages = {152-160},
      doi = {10.11648/j.sd.20190703.14},
      url = {https://doi.org/10.11648/j.sd.20190703.14},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20190703.14},
      abstract = {Under the premise of ensuring the protective effect, it is of great significance to design the optimal protective suit. In this paper, under the premise of analyzing the basic temperature distribution, the optimal thickness of the protective clothing is optimized. First, a temperature distribution model based on the heat transfer equation. The partial differential equations of temperature, time and spatial position are written for fabric layers I, II, III and air layer IV respectively. The initial and boundary conditions are given according to the measured external temperature and thermodynamic laws of skin. The finite difference method is used to numerically solve the partial differential equations to obtain the temperature distribution at different time and space. It was found that the human skin temperature increased with time and reached a steady state at time t=1645s. Then the optimal thickness is solved. Under the condition of meeting the basic safety requirements, the constraint optimization model with the optimal II layer thickness (ie the thinnest and the lowest cost) as the objective function is established. Then use the particle swarm optimization algorithm based on dynamic target method to solve. The optimum layer thickness was found to be 6.2 mm. Finally, the model was tested. Using the finite element heat transfer analysis of ANSYS workbanch to simulate the temperature distribution in the actual material, the similarity is high, which proves that the temperature distribution model is more accurate. This model can be extended to other heat transfer related clothing and container optimal thickness design.},
     year = {2019}
    }
    

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  • TY  - JOUR
    T1  - Optimal Thickness Design of Thermal Protective Clothing
    AU  - Zhuojun Yao
    AU  - Yuefeng Li
    AU  - Zhihong Liu
    Y1  - 2019/06/15
    PY  - 2019
    N1  - https://doi.org/10.11648/j.sd.20190703.14
    DO  - 10.11648/j.sd.20190703.14
    T2  - Science Discovery
    JF  - Science Discovery
    JO  - Science Discovery
    SP  - 152
    EP  - 160
    PB  - Science Publishing Group
    SN  - 2331-0650
    UR  - https://doi.org/10.11648/j.sd.20190703.14
    AB  - Under the premise of ensuring the protective effect, it is of great significance to design the optimal protective suit. In this paper, under the premise of analyzing the basic temperature distribution, the optimal thickness of the protective clothing is optimized. First, a temperature distribution model based on the heat transfer equation. The partial differential equations of temperature, time and spatial position are written for fabric layers I, II, III and air layer IV respectively. The initial and boundary conditions are given according to the measured external temperature and thermodynamic laws of skin. The finite difference method is used to numerically solve the partial differential equations to obtain the temperature distribution at different time and space. It was found that the human skin temperature increased with time and reached a steady state at time t=1645s. Then the optimal thickness is solved. Under the condition of meeting the basic safety requirements, the constraint optimization model with the optimal II layer thickness (ie the thinnest and the lowest cost) as the objective function is established. Then use the particle swarm optimization algorithm based on dynamic target method to solve. The optimum layer thickness was found to be 6.2 mm. Finally, the model was tested. Using the finite element heat transfer analysis of ANSYS workbanch to simulate the temperature distribution in the actual material, the similarity is high, which proves that the temperature distribution model is more accurate. This model can be extended to other heat transfer related clothing and container optimal thickness design.
    VL  - 7
    IS  - 3
    ER  - 

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Author Information
  • Department of Economics & Management, Rongcheng College of Harbin University of Science and Technology, Weihai, China

  • Department of Mechanical Engineering, Rongcheng College of Harbin University of Science and Technology, Weihai, China

  • Department of Software Engineering, Rongcheng College of Harbin University of Science and Technology, Weihai, China

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