Prediction methodology for the heat rejection from turbocharged or naturally aspired automobile engines



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Texas Tech University


The objective of this research is to accurately predict the heat rejection of naturally aspired spark ignition (SI) engines and turbocharged compression ignition (CI) engines. This prediction method will be added to TTU-Cool, a software package developed at Texas Tech University for Ford Motor Company. The objective of TTUCool is to give the aerodynamics division at Ford a tool to predict, with minimal up front data, the cooling performance of a proposed automotive cooling system. The minimal data includes the road load requirements as well as engine size and number of cylinders.

Historically, Ford has used a least squares fit of the above data to approximate the heat rejection. The proposed methodology replaces the approximation with a physicsbased approach to determining the heat rejection. The thermal model significantly expands the capabilities of TTU-Cool. SI and CI engine data are analyzed and correlated into a usefiil tool for new automobile concepts.



Science, Heat, Internal combustion engines, Fluid dynamics