Influence of the Pre-Compensation Profile on the Dynamics and Friction Performance of the Piston Skirt–Cylinder Liner System in a Diesel Engine

A coordinated profile co-optimization strategy for the piston–liner pair was introduced to simultaneously reduce friction losses and dynamic excitation. Based on the main parameters of the engine. Lubrication theory and the finite element method, and explicitly accounting for elastic deformation of flexible bodies, a multibody dynamics simulation model of the piston–connecting rod–crankshaft–cylinder liner system was developed in AVL Excite. This model was used to evaluate the dynamic and tribological performance of five cylinder-liner pre-compensation geometries at rated operating conditions. A bottleneck-shaped liner exhibited the best tribological performance, reducing the average total piston–skirt friction loss by 20.8% and the peak asperity–contact pressure by 19.7%, while leaving piston kinematics essentially unchanged (an increase of 0.001 mm in the maximum radial displacement and 0.009° in the maximum tilt angle). Building on this liner, key piston–skirt profile parameters were optimized via response–surface methodology; with the optimized skirt, the maximum radial displacement decreased from 0.123 mm to 0.113 mm, the maximum tilt angle decreased from 0.463° to 0.462°, the third-order Fourier component of lateral acceleration decreased from 14.53 m/s2 to 13.26 m/s2, and the cycle-averaged total skirt friction loss decreased from 0.307 kW to 0.250 kW.

Authors

Institutions

Publication Details

Journal
Energies
Published
2025-11-05
DOI
https://doi.org/10.3390/en18215833
Citations
2
Primary Topic
Tribology and Lubrication Engineering
Type
article
Field-Weighted Citation Impact
1.43

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Influence of the Pre-Compensation Profile on the Dynamics and Friction Performance of the Piston Skirt–Cylinder Liner System in a Diesel Engine

Yi Yang, Haining He, Lizhong Shen, Xinpo Lin et al.
2 citations
Energies
Tribology and Lubrication Engineering
1.43
article

Influence of the Pre-Compensation Profile on the Dynamics and Friction Performance of the Piston Skirt–Cylinder Liner System in a Diesel Engine

Yi Yang, Haining He, Lizhong Shen, Xinpo Lin, Guoqiang Zhang, Shaohua Liu, Mingjin Tang, Yuhua Bi
article en
2 citations

Abstract

A coordinated profile co-optimization strategy for the piston–liner pair was introduced to simultaneously reduce friction losses and dynamic excitation. Based on the main parameters of the engine. Lubrication theory and the finite element method, and explicitly accounting for elastic deformation of flexible bodies, a multibody dynamics simulation model of the piston–connecting rod–crankshaft–cylinder liner system was developed in AVL Excite. This model was used to evaluate the dynamic and tribological performance of five cylinder-liner pre-compensation geometries at rated operating conditions. A bottleneck-shaped liner exhibited the best tribological performance, reducing the average total piston–skirt friction loss by 20.8% and the peak asperity–contact pressure by 19.7%, while leaving piston kinematics essentially unchanged (an increase of 0.001 mm in the maximum radial displacement and 0.009° in the maximum tilt angle). Building on this liner, key piston–skirt profile parameters were optimized via response–surface methodology; with the optimized skirt, the maximum radial displacement decreased from 0.123 mm to 0.113 mm, the maximum tilt angle decreased from 0.463° to 0.462°, the third-order Fourier component of lateral acceleration decreased from 14.53 m/s2 to 13.26 m/s2, and the cycle-averaged total skirt friction loss decreased from 0.307 kW to 0.250 kW.

EnergiesVol. 18(21)
Kunming University of Science and Technology (CN), WuXi AppTec (China) (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 17%
Tribology and Lubrication Engineering
1.43
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.