Determination for Thickness of the Multilayer Thermal Insulation Clothing Based on the Inverse Problems
Joint Authors
Yu, Bo
Chang, Qiao
Wang, Linlin
Zhao, Tingting
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-06-09
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
In this paper, the optimal thickness of multilayer special clothing material under the high temperature operation based on the inverse problems is studied.
We analyze the parameters of the thickness of thermal insulation clothing material and the surface temperature of the dummy.
Using the least-squares fitting, the function with the distribution of the dummy surface temperature is established.
Then the heat transfer model and optimization model to obtain the optimal thickness of different clothing layers are built, respectively.
Taking the true data as an example, we give the application of thermal insulation clothing in fire area, and the results show that the models are feasible.
American Psychological Association (APA)
Yu, Bo& Chang, Qiao& Zhao, Tingting& Wang, Linlin. 2019. Determination for Thickness of the Multilayer Thermal Insulation Clothing Based on the Inverse Problems. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-7.
https://search.emarefa.net/detail/BIM-1196017
Modern Language Association (MLA)
Yu, Bo…[et al.]. Determination for Thickness of the Multilayer Thermal Insulation Clothing Based on the Inverse Problems. Mathematical Problems in Engineering No. 2019 (2019), pp.1-7.
https://search.emarefa.net/detail/BIM-1196017
American Medical Association (AMA)
Yu, Bo& Chang, Qiao& Zhao, Tingting& Wang, Linlin. Determination for Thickness of the Multilayer Thermal Insulation Clothing Based on the Inverse Problems. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-7.
https://search.emarefa.net/detail/BIM-1196017
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1196017