It is written for researchers and designers in mechanical engineering and the automotive industry. Through regression analysis, optimization results are used to explain complex interactions between engine design parameters, such as nozzle design, injection timing, swirl, exhaust gas recirculation, bore size, and piston bowl shape.Ĭomputational Optimization of Internal Combustion Engines demonstrates that the current multi-dimensional CFD tools are mature enough for practical development of internal combustion engines. This book on internal combustion (IC) engines is a part of the curriculum of mechanical engineering in major universities. heavy duty and light duty diesel engines.Several case studies are presented in a section devoted to applications, including assessments of: Strategies to reduce computational cost and mesh dependency are discussed, as well as regression analysis methods. Computational Optimization of Internal Combustion Engines presents the state of the art of computational models and optimization methods for internal combustion engine development using multi-dimensional computational fluid dynamics (CFD) tools and genetic algorithms.
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