Development of an Oil Gallery Cooling Model for Internal Combustion Engines Considering the Cocktail Shaker Effect

Abstract

An internal combustion engine oil gallery cooling model was developed, which can predict average heat transfer coefficients by considering the cocktail shaker effect due to the reciprocal motion of the engine piston. The model prediction showed good agreement with available experimental data. Using the gallery cooling model and a computational fluid dynamics code which was developed to predict the combustion process, the influence of various oil cooling methods was studied numerically. Comparing the peak temperature of air cooling and oil jet-with-gallery cooling cases, the difference of the piston surface temperature was predicted to be as much as 300 K.

The authors thank the Department of Energy and the Sandia National Laboratory for their support and for providing valuable optical engine experimental data. Also, thanks are due to the Technical Research and Development Institute, Japan Ministry of Defense, for their financial support and for the opportunity to study abroad in the United States of America in a doctoral program.