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.
Yu Shi works for the Department of Chemical Engineering, Massachusetts Institute of Technology, USA.Hai-Wen Ge and Rolf D. Reitz (ASME/SAE Fellow and Wisconsin Distinguished Professor), both work for the Engine Research Center, University of Wisconsin-Madison, USA.
1. Introduction.- 2. Fundamentals.- 3. Acceleration of Multi-dimensional Engine Simulation with Detailed Chemistry.- 4. Assessment of Optimization and Regression Methods for Engine Optimization.- 5. Scaling Laws for Diesel Combustion Systems.- 6. Applications.- 7. Epilogue.