An inverse problem of a steady-state model of heat and moisture transfer for determining the optimal porosity of single-layer fabrics
Based on a model of thermal and moisture transfer,the inverse problem for determining the optimal porosity of single-layer fabrics was proposed to improve the thermal and moisture comfort of the garment by optimizing the porosity parameters of fabrics.A steady-state thermal and moisture transfer model of a single-layer fabric was solved by the bat algorithm to obtain the distributions of temperature and water vapor concentration,based on which the inverse problem of the optimal determination of porosity was proposed with the goal of the best thermal dissipation and moisture permeability in hot weather.With thermal and moisture resistance to measure the thermal dissipation and moisture permeability of the fabric,the inverse problem was presented as a thermal and moisture resistance minimization optimization problem,which was transformed into a single-objective optimization problem by setting different weights for thermal and moisture resistance and solved by the bat algorithm.The numerical experiments were carried out by using three the common fabrics of cotton,wool and polyester.The results show that the inverse problem has an optimal solution and the optimal value of porosity that optimizes the thermal and moisture transfer performance of the single-layer fabric can be obtained by solving this inverse problem.It is also concluded that the bat algorithm is more efficiently than the particle swarm optimization algorithm for the forward and inverse problems of the thermal and moisture transfer model.This study expands the research content of improving thermal and moisture comfort of garments by optimizing fabric parameters,which can provide some theoretical guidance for the optimal design of thermal and moisture comfort of garments in hot weather.
fabricheat and moisture transfer modelheat and moisture comfortbat algorithmporosity
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