Browse Publications Technical Papers 2012-32-0068

An Empirically Integrated CFD Method for Racing Engine Layout and Its Practical Demonstration 2012-32-0068

Racing engines are required to be developed quickly in order to adapt to ever-changing regulations. A CFD-based optimization would be a useful tool to discover the best solution given the restrictions of the regulations. However, a CFD approach requires repeated trials and errors until the best solution is found because the numerical goal is unknown and the specifications required for the goal are never calculated back when using CFD. Therefore, this paper proposes an Empirically Integrated CFD Method. It is a combination of a one-dimensional CFD and several empirical equations that are derived from the racing engine database with physical meanings. These empirical equations give the CFD-based optimization a proper goal and primary specifications so as to make the optimization loop converge rapidly. This method is experimentally verified for its practical application with a prototype engine. Moreover, this prototype engine reveals the impact of the combustion chamber design on the thermal efficiency, which has not been reflected in conventional CFD. As a result of this study, the Empirically Integrated CFD Method for Racing Engine Layout is established.


Subscribers can view annotate, and download all of SAE's content. Learn More »


Members save up to 16% off list price.
Login to see discount.
Special Offer: Download multiple Technical Papers each year? TechSelect is a cost-effective subscription option to select and download 12-100 full-text Technical Papers per year. Find more information here.
We also recommend:

Design of 65 degree V4 Moto GP Engines with Pneumatic Poppet Valves or Rotary Valves


View Details


Dependence of Flow Characteristics of a High Performance S.I. Engine Intake System on Test Pressure and Tumble Generation Conditions - Part 2: Numerical Analysis


View Details


Flow Characterization of a High Performance S.I. Engine Intake System - Part 2: Numerical Analysis


View Details