Mathematical Model of Embedded Temperature Sensing Fabric Heat Transmission
Research and development
Authors:
- Zhang Ruquan
Department of Textile Science and Engineering, Wuhan Textile University, Wuhan, P. R. China - Deng Nanping
School of Textiles, Tianjin Polytechnic University, Tianjin, P. R. China - Cheng Bowen (j/w)
- Zhang Shangyong
Department of Textile Science and Engineering, Wuhan Textile University, Wuhan, P. R. China - Wu Ying
School of Economics, Wuhan Textile University, Wuhan, P. R. China
Nr DOI: 10.5604/12303666.1215531
Full text | references | Abstract: In order to explore effect factors in the measurement of temperature sensing fabric, a heat transmission mathematical model of temperature sensing fabric was established. The concept of surface contact thermal resistance associated with the material thermal conductivity, fabric layer number and yarn linear density between the fabric and sensor was proposed in the model, whose surface contact thermal resistance was produced in the process of fabric heat transmission. Some test samples were woven to prove the rationality of the model. The results demonstrated that the value measured would be influenced by the performances of surface contact thermal resistance, which was consistent with the derivation of the theoretical model. The raw material, fabric layer number and yarn linear density of temperature sensing fabric had a great effect on the measurement value. The correlation coefficient reached more than 0.988 among the experimental and theoretical values, respectively, which proved that the heat transmission mathematical model of temperature sensing fabric could be applied in the research of this fabric. |
Tags:
temperature sensing fabric, mathematical model, surface contact thermal resistance, testing system, temperature value.
Citation:
Zhang R, Deng N, Cheng B, Zhang S, Wu Y. Mathematical Model of Embedded Temperature Sensing Fabric Heat Transmission. FIBRES & TEXTILES in Eastern Europe 2016; 24, 5(119): 73-79. DOI: 10.5604/12303666.1215531
Published in issue no 5 (119) / 2016, pages 73–79.