Development of a software product to evaluate the remaining life of an internal combustion engine based on the chemmotology index of engine oil

Abstract

Predicting the remaining life of internal combustion engines (ICE) is a key task for improving reliability, reducing operating costs and preventing equipment failures. This paper discusses a method for evaluating the remaining life of an internal combustion engine based on iron content test in engine oil which combines hardware, mathematical models and software. The method is based on the comparison of the potential and actual mass of iron in the engine lubrication system. The potential mass is calculated using linear relationships that take into account the operating time and design features of the engine (for example, for YaMZ-238: Fe = 0.0686T + 2.92). The actual mass is determined using sensors that measure the concentration of metal particles in the oil. The developed software product implemented on a PC platform using C++ and Delphi languages automates the process of comparing the data, calculation of the remaining life and output of maintenance recommendations. The test results showed that the method made it possible to accurately evaluate the wear rate and predict engine life under real operating conditions. The system also takes into account the possibility of optimizing operating modes to extend the service life of the internal combustion engine. The advantages of the proposed solution are ease of use, adaptability to various engine brands and integration with modern diagnostic systems. The research contributes to the development of internal combustion engine diagnostic methods offering a practical tool for monitoring their condition and planning repairs. The developed approach may be applied in the agro-industrial complex and other industries where equipment with internal combustion engines is used.