Litcius/Paper detail

Numerical minimisation of abrasive-dust wear in internal combustion engines

Abdulaziz Alfadhli, Abdullah Alazemi, Emad Khorshid

2020International Journal of Surface Science and Engineering15 citationsDOI

Abstract

This paper presents a mathematical model to predict the abrasive wear of piston ring and cylinder sleeve in internal combustion engines due to dust particles. A parametric study is conducted on different group factors such as the abrasive action of the medium, engine design parameters, and engine physio-mechanical properties of the materials. The model reveals that it accurately predicts the effect of numerous factors on the wear process for the piston ring and cylinder sleeve. The model capabilities are demonstrated by the impact of air filtration efficiency on the engine component wear rate. It is found that dust particle size and concentration have significant effects on piston ring and cylinder sleeve wear rates. The numerical results show that the wear rate of both the piston ring and cylinder sleeve can be reduced by 80% when the air filter efficiency is increased from 97.8% to 99.4%.

Topics & Concepts

Materials scienceAbrasiveMinimisation (clinical trials)CombustionMetallurgyComposite materialChemistryMathematicsOrganic chemistryStatisticsCombustion and Detonation ProcessesTechnical Engine Diagnostics and MonitoringAdvanced Combustion Engine Technologies