Exhaust manifold design with tapered pipes using divided range MOGA

Abstract

A multiobjective design optimization system of exhaust manifold shapes with tapered pipes for a car engine has been developed by using divided range multiobjective genetic algorithm (DRMOGA) to obtain more engine power as well as to produce less pollutant. Although the present design problem is known to be highly non-linear, the exhaust manifold has been successfully designed to improve both objectives. A comparison of the results obtained by DRMOGA and MOGA was performed and DRMOGA was demonstrated to find better solutions than MOGA.

Keywords:

• Car engine
• Exhaust system
• Multiobjective optimization
• Evolutionary computation

Acknowledgements

The authors would like to thank Powertrain Research Laboratory in Mazda Motor Corporation for providing the one-dimensional empirical engine cycle simulation code and the engine data. The calculations were performed by using the supercomputer, ORIGIN 2000 in the Institute of Fluid Science, Tohoku University.