A windows-based application for predicting automobile engine heat rejection requirements
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Abstract
The ability to predict engine heat rejection rates quickly and efficiency provides automotive cooling system engineers the flexibility to alter designs without the time and costs of laboratory experimentation. The purpose of this research is to develop an analytical tool that predicts engine heat rejection to coolant rates using a physics-based methodology. Using Microsoft Visual C++ 6.0, an application has been developed that calculates the engine heat rejection rates for naturally aspirated gasoline engines and turbocharged diesel engines using a minimal amount of engine operating parameters. Standard engine power and heat transfer correlations can be used, or new correlations can be developed for a specific engine using dynamometer data input directly into the program. The final engine heat rejection rate predictions are presented to the user in both tabular and graphical formats. Completed engine heat rejection predictions provide engineers the opportunity to refine their cooling system designs, and thus reduce overall design time and cost.