Matching design for structural parameters of the dual-friction pair in a piston pin

In the present study, a thermoelastic hydrodynamic (TEH) model was formulated to analyze the steel piston assembly in the D25TCIF diesel engine. The model facilitated the evaluation of the steel piston and connecting rod assembly by integrating elastohydrodynamic lubrication theory and heat transfer analysis. The influence of bearing structural parameters on the lubrication performance of the piston pin bearing system was analyzed by integrating experimental design with the Pareto multi-objective optimization algorithm. Subsequently, an optimized structural parameter design was explored to achieve a balanced lubrication performance within the piston pin bearing system. The results demonstrated that, compared to the original engine design, the oil film thickness of the pin bore bearing increased by 177.68 % (0.629 μm), while that of the small-end bearing of the connecting rod increased by 24.21 % (0.145 μm). Therefore, the proposed optimization method demonstrated significant effectiveness in enhancing lubrication performance.

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Publication Details

Journal
Case Studies in Thermal Engineering
Published
2025-04-13
DOI
https://doi.org/10.1016/j.csite.2025.106109
Primary Topic
Gear and Bearing Dynamics Analysis
Type
article
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article

Matching design for structural parameters of the dual-friction pair in a piston pin

Dongjun Sun, Wei Deng, Jilin Lei, Chengxi Wang et al.
Case Studies in Thermal Engineering
Gear and Bearing Dynamics Analysis
article

Matching design for structural parameters of the dual-friction pair in a piston pin

Dongjun Sun, Wei Deng, Jilin Lei, Chengxi Wang, Jikun Chen, Yang Liu
article en

Abstract

In the present study, a thermoelastic hydrodynamic (TEH) model was formulated to analyze the steel piston assembly in the D25TCIF diesel engine. The model facilitated the evaluation of the steel piston and connecting rod assembly by integrating elastohydrodynamic lubrication theory and heat transfer analysis. The influence of bearing structural parameters on the lubrication performance of the piston pin bearing system was analyzed by integrating experimental design with the Pareto multi-objective optimization algorithm. Subsequently, an optimized structural parameter design was explored to achieve a balanced lubrication performance within the piston pin bearing system. The results demonstrated that, compared to the original engine design, the oil film thickness of the pin bore bearing increased by 177.68 % (0.629 μm), while that of the small-end bearing of the connecting rod increased by 24.21 % (0.145 μm). Therefore, the proposed optimization method demonstrated significant effectiveness in enhancing lubrication performance.

Case Studies in Thermal EngineeringVol. 70
Kunming University of Science and Technology (CN), Jiangsu Agri-animal Husbandry Vocational College (CN)
Sustainable cities and communities
Openalex Percentile: Top 93%
Gear and Bearing Dynamics Analysis
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