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...

Full description

Saved in:
Bibliographic Details
Main Authors: Yuwei Liu, Jiasong Yang, Zhiqiang Guo, Yanpeng Yuan, Weizheng Zhang, Sichuang Wanyan
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Case Studies in Thermal Engineering
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2214157X24016113
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841555761257250816
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
work_keys_str_mv AT yuweiliu numericalheattransferanalysisconsideringthermalcontactconductancebetweenroughreciprocatingslidingsurfaces
AT jiasongyang numericalheattransferanalysisconsideringthermalcontactconductancebetweenroughreciprocatingslidingsurfaces
AT zhiqiangguo numericalheattransferanalysisconsideringthermalcontactconductancebetweenroughreciprocatingslidingsurfaces
AT yanpengyuan numericalheattransferanalysisconsideringthermalcontactconductancebetweenroughreciprocatingslidingsurfaces
AT weizhengzhang numericalheattransferanalysisconsideringthermalcontactconductancebetweenroughreciprocatingslidingsurfaces
AT sichuangwanyan numericalheattransferanalysisconsideringthermalcontactconductancebetweenroughreciprocatingslidingsurfaces