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Research Article

Prediction of the local and total thermal insulations of a bedding system based on the 3D virtual simulation technology

Qing Zheng1Hongbo Wang1( )Ying Ke2
School of Textile Science and Engineering, Jiangnan University, Wuxi 214122, China
School of Design, Jiangnan University, Wuxi 214122, China
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Abstract

The thermal insulation of a bedding system is one of the most critical factors affecting sleeping thermal comfort. This study reported a mathematical model to evaluate both local and total thermal insulations of a bedding system. To determine the geometric parameters in the model, the geometric model of the bedding system was developed using a 3D virtual simulation program. Its reliability was validated by comparing it with the 3D scanning model. The predicted local and total thermal insulations of bedding systems were compared with those measured by the thermal manikin obtained in a previous study. The bedding systems included six down quilts with different filling weights and involved three body postures. The results showed that the predicted thermal insulation values agreed well with the experimental values. The predicted local and total thermal insulations were with acceptable accuracy, whose errors were within 20% and 10%, respectively. Finally, the research discussed the effects of two main parameters (i.e., the proportions and partial thermal resistances of heat transfer parts) on bedding thermal insulations and provided practical suggestions for regulating bedding thermal insulation. This study has important implications for evaluating the thermal comfort of the bedding system and contributes to improving the sleeping environment.

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Building Simulation
Pages 1467-1480
Cite this article:
Zheng Q, Wang H, Ke Y. Prediction of the local and total thermal insulations of a bedding system based on the 3D virtual simulation technology. Building Simulation, 2023, 16(8): 1467-1480. https://doi.org/10.1007/s12273-023-1029-x

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Received: 06 February 2023
Revised: 20 March 2023
Accepted: 08 April 2023
Published: 05 July 2023
© Tsinghua University Press 2023
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