Numerical heat transfer analysis considering thermal contact conductance between rough reciprocating sliding surfaces
The frictional heat generated leads to elevated surface temperatures, which markedly influence the reliability and service life of friction pairs. Considering the dynamic changes in the thermal contact conductance and friction coefficient, the heat transfer equations which consist of heat exchange d...
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Elsevier
2025-01-01
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Series: | Case Studies in Thermal Engineering |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X24016113 |
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author | Yuwei Liu Jiasong Yang Zhiqiang Guo Yanpeng Yuan Weizheng Zhang Sichuang Wanyan |
author_facet | Yuwei Liu Jiasong Yang Zhiqiang Guo Yanpeng Yuan Weizheng Zhang Sichuang Wanyan |
author_sort | Yuwei Liu |
collection | DOAJ |
description | The frictional heat generated leads to elevated surface temperatures, which markedly influence the reliability and service life of friction pairs. Considering the dynamic changes in the thermal contact conductance and friction coefficient, the heat transfer equations which consist of heat exchange due to temperature difference and frictional heat generation at the sliding interface have been established. A finite element heat transfer model is constructed between two rough reciprocating sliding surfaces. The influences of the reciprocating motion and the interface thermal contact conductance on the heat flow distribution coefficient and surface contact temperature are solved by numerical simulations respectively. Furthermore, a prediction model is developed based on the BP neural networks. The results indicate that the heat flow distribution coefficient and surface contact temperature increase with rising motion frequency or interface thermal contact conductance and eventually reach a steady state. Moreover, for a fixed motion frequency, both parameters increase linearly with motion amplitude under different interface thermal contact conductance. The prediction model for heat flow distribution coefficient and surface contact temperature shows average relative errors of 0.45 % and 3.53 %, respectively. This research provides a new efficient way to analyze heat transfer in reciprocating sliding contacts and predict the contact surface temperatures. |
format | Article |
id | doaj-art-87de53754586457e96a10f01a31ebf4b |
institution | Kabale University |
issn | 2214-157X |
language | English |
publishDate | 2025-01-01 |
publisher | Elsevier |
record_format | Article |
series | Case Studies in Thermal Engineering |
spelling | doaj-art-87de53754586457e96a10f01a31ebf4b2025-01-08T04:52:33ZengElsevierCase Studies in Thermal Engineering2214-157X2025-01-0165105580Numerical heat transfer analysis considering thermal contact conductance between rough reciprocating sliding surfacesYuwei Liu0Jiasong Yang1Zhiqiang Guo2Yanpeng Yuan3Weizheng Zhang4Sichuang Wanyan5School of Mechanical and Electrical Engineering, China University of Mining and Technology-Beijing, Beijing, 100083, China; Corresponding author.School of Mechanical and Electrical Engineering, China University of Mining and Technology-Beijing, Beijing, 100083, ChinaSchool of Mechanical and Electrical Engineering, China University of Mining and Technology-Beijing, Beijing, 100083, ChinaNational Key Laboratory of Multi-perch Vehicle Driving Systems, Beijing Institute of Technology, Beijing, 100081, China; School of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081, ChinaNational Key Laboratory of Multi-perch Vehicle Driving Systems, Beijing Institute of Technology, Beijing, 100081, China; School of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081, ChinaSchool of Mechanical and Electrical Engineering, China University of Mining and Technology-Beijing, Beijing, 100083, ChinaThe frictional heat generated leads to elevated surface temperatures, which markedly influence the reliability and service life of friction pairs. Considering the dynamic changes in the thermal contact conductance and friction coefficient, the heat transfer equations which consist of heat exchange due to temperature difference and frictional heat generation at the sliding interface have been established. A finite element heat transfer model is constructed between two rough reciprocating sliding surfaces. The influences of the reciprocating motion and the interface thermal contact conductance on the heat flow distribution coefficient and surface contact temperature are solved by numerical simulations respectively. Furthermore, a prediction model is developed based on the BP neural networks. The results indicate that the heat flow distribution coefficient and surface contact temperature increase with rising motion frequency or interface thermal contact conductance and eventually reach a steady state. Moreover, for a fixed motion frequency, both parameters increase linearly with motion amplitude under different interface thermal contact conductance. The prediction model for heat flow distribution coefficient and surface contact temperature shows average relative errors of 0.45 % and 3.53 %, respectively. This research provides a new efficient way to analyze heat transfer in reciprocating sliding contacts and predict the contact surface temperatures.http://www.sciencedirect.com/science/article/pii/S2214157X24016113Reciprocating sliding contactThermal contact conductanceHeat flow distribution coefficientSurface contact temperatureBP neural network |
spellingShingle | Yuwei Liu Jiasong Yang Zhiqiang Guo Yanpeng Yuan Weizheng Zhang Sichuang Wanyan Numerical heat transfer analysis considering thermal contact conductance between rough reciprocating sliding surfaces Case Studies in Thermal Engineering Reciprocating sliding contact Thermal contact conductance Heat flow distribution coefficient Surface contact temperature BP neural network |
title | Numerical heat transfer analysis considering thermal contact conductance between rough reciprocating sliding surfaces |
title_full | Numerical heat transfer analysis considering thermal contact conductance between rough reciprocating sliding surfaces |
title_fullStr | Numerical heat transfer analysis considering thermal contact conductance between rough reciprocating sliding surfaces |
title_full_unstemmed | Numerical heat transfer analysis considering thermal contact conductance between rough reciprocating sliding surfaces |
title_short | Numerical heat transfer analysis considering thermal contact conductance between rough reciprocating sliding surfaces |
title_sort | numerical heat transfer analysis considering thermal contact conductance between rough reciprocating sliding surfaces |
topic | Reciprocating sliding contact Thermal contact conductance Heat flow distribution coefficient Surface contact temperature BP neural network |
url | http://www.sciencedirect.com/science/article/pii/S2214157X24016113 |
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