CFD Based Optimization of the Mixture Formation in Spark Ignition Direct Injection CNG Engin


Center of Excellence in Energy Conversion (CEEC), School of Mechanical Engineering, Sharif University of Technology, Tehran, Iran‎


This paper describes the optimization of combustion chamber geometry and injection timing of new generation of EF7 engine that CNG is directly injected to the combustion chamber, with the aim of providing the best mixture at low and high speeds. The multi-objective genetic algorithm (MOGA) is coupled with the KIVA computational fluid dynamics (CFD) code, with grid generation in order to maximize the flammable mass of mixture. This would result in better combustion and improved fuel economy. The optimization variables related to the combustion chamber are seven geometry variables and injection timing. Through the present optimization, a great improvement in the mixture distribution is achieved. The optimization results show that early injection with the shallow bowl in shape can be advantageous at high speeds while late injection would result in better results at the low speed.