Inverse Problems Of Multiple Parameters Determination In Textile Materials Based On Steady-state Heat And Moisture Transfer Model

The heat and moisture transfer of fabric can influence the body’s heat-moisture comfortdirectly. And there are three most important factors including fabric thickness, thermalconductivity and porosity in the process of heat and mass transfer. So it is an important problemthat how to determine these three factors to keep human body comfort.In the first chapter, we introduce the background and progress of heat and mass transfer.Furthermore, we point out that the study content of the paper.In the second chapter, we put forward a heat and moisture transfer model which is differentialequations, called direct problem. Furthermore, we present the particle swarm optimizationalgorithm to solve the direct problem.In the third chapter, we present an inverse problem of single parameter determination in textilematerials under normal temperature, including the determination of thickness, conductivity andporosity.In the forth chapter, we present an inverse problem of two parameter determination aboutthickness, conductivity and porosity.In the fifth chapter, we give an inverse problem of determining the above three parameterssimultaneously.All above inverse problems are converted into weighted least squares problems with respect totemperature and relative humidity, and solved by the particle swarm optimization algorithm. Inorder to verify the validation of IPTMD, we employ the results of inverse problems in thecomputational process of the corresponding direct problems, and propose the comfort probabilityto evaluate the comfort level of human body.In the final, we give some conclusion and point out the further research work.