The demand for lower fuel consumption has led to more efficient combustion and thus higher heat load on cylinder parts. Thus, it is today common with engine seizure in test rigs but also occasionally in field tests. Volvo has long experience of development and implementation of advanced models and has today a numerical library for engine development that is regarded as state-of-the-art in the area except for prediction of heat transfer. However, recent outcome from academia shows solutions to heat transfer prediction promising also for industrial use. The project will implement the latest models and corresponding wall functions and optimize these towards heat transfer. Validation will be done towards advanced surface temperature measurement in engine rigs. The objective of this project is to extend existing platform for virtual combustion system development with methods and models to be able to predict heat load on highly exposed engine parts to ensure durability on e.g. piston
Published: Thu 31 May 2018.
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