Simulation model for predicting reciprocating internal combustion engine wear

Abstract

The article presents the results of software development, using the Modelica language, designed to create and use simulation models as part of reciprocating internal combustion engines digital twins. The software was created on the basis of component, system and declarative approaches, the theory of a casual bond graphs. The software includes submodels for determining the main engine parts wear rate and allows to predict engine parts life time, to simulate normal and accelerated engine reliability and durability tests. In the course of the study, the well-known model for determining mechanical frictional losses SLM (Shayler, Leong, Murphy, 2005) was adapted to calculate the relative change in the wear rate of engine parts. Universal equations are obtained to determine the friction forces as applied to rotationally and reciprocally moving engine parts. A method is proposed for calculating the relative change in the wear rate of parts and the time of failure due to wear, taking into account the physical properties (hardness), geometric dimensions and the speed of the relative movement of parts in the conjunction.

Preliminary experimental data analysis for Digital Twin development of a large bore Dual-Fuel engine

“…DTs are also useful for anomaly detection, failure mode management, tracking of thermal efficiency, emissions prediction, and evaluation of transient response. For instance, in [19], different mathematical models of reciprocating internal combustion engines are presented and their possible application for DT development is discussed. A study of Rogers and Ebrahimi [20] investigates a model-based monitoring system for in-cylinder pressure measuring chains in engine control systems.…”