Lubor Buřič, Development Manager, Structural Mechanics, Realis Simulation
Japan User Conference 2025

Automation offers a great potential for improving efficiency in CAE workflows. Utilising the power of advanced optimisation algorithms to determine geometric parameters that deliver the best possible performance for piston assembly components can significantly save engineering teams’ time. These algorithms also potentially deliver designs that are more optimised than what would be possible with manual or Design of Experiment (DoE) type studies.

With its proven 3-piece Oil Control Ring (OCR) model, RINGPAK can predict Lubricant Oil Consumption (LOC) accurately making it the ideal tool for parametric studies of the piston ring pack. In this study, we show how RINGPAK coupled with modeFRONTIER is used to optimise the ring pack of a 3-cylinder GTI engine to find the optimal trade-off between oil consumption, blow-by and friction.

The results of this study will be presented by Lubor Buric at the 2025 Japan User Conference on 19 September 2025.