Heat Conduction Model Optimization Study on the Basis of a Multilayer Decision Variable

doi:10.23940/ijpe.20.01.p6.4858

Int J Performability Eng ›› 2020, Vol. 16 ›› Issue (1): 48-58.doi: 10.23940/ijpe.20.01.p6.4858

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Heat Conduction Model Optimization Study on the Basis of a Multilayer Decision Variable

Xianhong Xu^*()

School of Economics and Management, Zhengzhou Normal University, Zhengzhou, 450044, China

Submitted on ; Revised on ; Accepted on
Contact: Xianhong Xu E-mail:407821436@qq.com
Supported by:
This study is partly supported by the Fund program: "2018 University-level Teaching Reform Project of Zhengzhou Normal University 2018-ZJGJYB-042" and "Pilot Project of Comprehensive Reform of Management Science (Lean Management Direction) Specialty of Zhengzhou Normal University in 2017."

Abstract

Abstract:

For the temperature distribution problem of multilayer thermal protective clothing, pde tool kit optimization and one-dimensional Matlab unidirectional search algorithm were used to establish a non-steady static human body-clothing-environment heat exchange pool and two-dimensional heat conduction model. In addition, Matlab, Lingo, and Excel were applied to solve a series of relevant problems. For the two-dimensional heat transfer problem, model optimization was conducted, and the values of time and space intervals were taken rationally to subdivide the grid and accelerate the rate of model algorithm.

Key words: X-ray absorptivity Fourier heat transfer model, one-dimensional Matlab unidirectional search, thermal protective clothing under high temperature

Xianhong Xu. Heat Conduction Model Optimization Study on the Basis of a Multilayer Decision Variable [J]. Int J Performability Eng, 2020, 16(1): 48-58.

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Heat Conduction Model Optimization Study on the Basis of a Multilayer Decision Variable

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