Simultaneous determination of thickness, thermal conductivity and porosity in textile material design

Author(s):  
Dinghua Xu ◽  
Peng Cui

AbstractThe thickness, thermal conductivity and porosity of textile material are three key factors which determine the heat-moisture comfort level of the human body to a large extent based on the heat and moisture transfer process in the human body-clothing-environment system. This paper puts forward an Inverse Problem of Textile Thickness-Heat conductivity-Porosity Determination (IPT(THP)D) based on the steady-state model of heat and moisture transfer and the heat-moisture comfort indexes. Adopting the idea of the weighted least-squares method, we formulate IPT(THP)D into a function minimization problem. We employ the Particle Swarm Optimization (PSO) method to stochastically search the optimal solution of the objective function. We put the optimal solution into the corresponding direct problem to verify the effectiveness of the proposed numerical algorithms and the validity of the IPT(THP)D.

2004 ◽  
Vol 126 (2) ◽  
pp. 726-731 ◽  
Author(s):  
Moncef Krarti ◽  
Pirawas Chuangchid ◽  
Pyeongchan Ihm

This paper discusses selected results from a numerical solution of two-dimensional heat and moisture transfer within frozen and unfrozen soils beneath freezer slab foundations. In particular, the numerical solution is used to determine soil temperature profiles as well as freezer foundation heat gains. Finally, an effective soil thermal conductivity is successfully utilized in a pure heat conduction model to predict ground-coupled heat gains for freezers.


2019 ◽  
Vol 75 (8) ◽  
pp. 4731-4749
Author(s):  
Nan Jia ◽  
Yuan Huang ◽  
Jiapei Li ◽  
Haigang An ◽  
Xiaomin Jia ◽  
...  

2011 ◽  
Vol 88-89 ◽  
pp. 475-480
Author(s):  
Feng Zhi Li ◽  
Yi Li ◽  
Mou Guang Lin

A 3-D heat and moisture transfer model for the human-clothing-environment system (HCES) is developed. The Smith-Fu’s finite element model is improved by considering more real 3-D geometry properties of the human body. Meanwhile, the heat and moisture transfer mechanisms, including water vapor diffusion, the moisture evaporation/condensation, moisture sorbtion/ desorption by fibers, and latent heat absorption/release due to phase change, are considered in a new 3-D clothing model. The clothed human body model predictions are compared with published experimental data at a variety of ambient conditions. The model predictions agree well with the experimental data, indicating that the present model has good prediction ability. Also, the model predictions are given by using the 3-D Figures.


Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4180
Author(s):  
Joowook Kim ◽  
Michael Brandemuehl

Several building energy simulation programs have been developed to evaluate the indoor conditions and energy performance of buildings. As a fundamental component of heating, ventilating, and air conditioning loads, each building energy modeling tool calculates the heat and moisture exchange among the outdoor environment, building envelope, and indoor environments. This paper presents a simplified heat and moisture transfer model of the building envelope, and case studies for building performance obtained by different heat and moisture transfer models are conducted to investigate the contribution of the proposed steady-state moisture flux (SSMF) method. For the analysis, three representative humid locations in the United States are considered: Miami, Atlanta, and Chicago. The results show that the SSMF model effectively complements the latent heat transfer calculation in conduction transfer function (CTF) and effective moisture penetration depth (EMPD) models during the cooling season. In addition, it is found that the ceiling part of a building largely constitutes the latent heat generated by the SSMF model.


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