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Innovative analytical model for temperature prediction of front-end accessory drive

The front-end accessory drive belt drive system is a critical component in the vehicle engine. To avoid thermal deterioration under static state operating conditions, the thermal distribution for the belt drive system at each condition must be determined in an efficient manner. Due to the numerical...

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Autores principales: Liu, Xingchen, Behdinan, Kamran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7809119/
https://www.ncbi.nlm.nih.gov/pubmed/33446691
http://dx.doi.org/10.1038/s41598-020-79986-5
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author Liu, Xingchen
Behdinan, Kamran
author_facet Liu, Xingchen
Behdinan, Kamran
author_sort Liu, Xingchen
collection PubMed
description The front-end accessory drive belt drive system is a critical component in the vehicle engine. To avoid thermal deterioration under static state operating conditions, the thermal distribution for the belt drive system at each condition must be determined in an efficient manner. Due to the numerical approach is not feasible to address this concern because of its high computational cost, this paper proposes a reliable and efficient novel analytical thermal model to achieve this goal. This work develops the state-of-the-art heat transfer ordinary differential equations (ODEs) describing the thermal flow and heat dissipations on the complex structures of pulleys. Then it integrates these ODEs with heat transfer governing equations of the belt and heat exchanges to establish an innovative system of equations that can be solved within a few seconds to provide temperature plots. Moreover, experiments were conducted on a dynamometer to verify the accuracy of the proposed model under a wide range of conditions. The results indicate that the measured temperatures are in good agreement with the corresponding analytical results. Owing to its efficiency, the proposed model can be integrated with other mechanical characterizations of the belt drive system in terms of design, optimization, and thermal fatigue analyses.
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spelling pubmed-78091192021-01-15 Innovative analytical model for temperature prediction of front-end accessory drive Liu, Xingchen Behdinan, Kamran Sci Rep Article The front-end accessory drive belt drive system is a critical component in the vehicle engine. To avoid thermal deterioration under static state operating conditions, the thermal distribution for the belt drive system at each condition must be determined in an efficient manner. Due to the numerical approach is not feasible to address this concern because of its high computational cost, this paper proposes a reliable and efficient novel analytical thermal model to achieve this goal. This work develops the state-of-the-art heat transfer ordinary differential equations (ODEs) describing the thermal flow and heat dissipations on the complex structures of pulleys. Then it integrates these ODEs with heat transfer governing equations of the belt and heat exchanges to establish an innovative system of equations that can be solved within a few seconds to provide temperature plots. Moreover, experiments were conducted on a dynamometer to verify the accuracy of the proposed model under a wide range of conditions. The results indicate that the measured temperatures are in good agreement with the corresponding analytical results. Owing to its efficiency, the proposed model can be integrated with other mechanical characterizations of the belt drive system in terms of design, optimization, and thermal fatigue analyses. Nature Publishing Group UK 2021-01-14 /pmc/articles/PMC7809119/ /pubmed/33446691 http://dx.doi.org/10.1038/s41598-020-79986-5 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Liu, Xingchen
Behdinan, Kamran
Innovative analytical model for temperature prediction of front-end accessory drive
title Innovative analytical model for temperature prediction of front-end accessory drive
title_full Innovative analytical model for temperature prediction of front-end accessory drive
title_fullStr Innovative analytical model for temperature prediction of front-end accessory drive
title_full_unstemmed Innovative analytical model for temperature prediction of front-end accessory drive
title_short Innovative analytical model for temperature prediction of front-end accessory drive
title_sort innovative analytical model for temperature prediction of front-end accessory drive
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7809119/
https://www.ncbi.nlm.nih.gov/pubmed/33446691
http://dx.doi.org/10.1038/s41598-020-79986-5
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