Shi, Yu. creator author. aut http://id.loc.gov/vocabulary/relators/aut Ge, Hai-Wen. author. aut http://id.loc.gov/vocabulary/relators/aut Reitz, Rolf D. author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) text xxk 2011 1st ed. 2011. monographic eng

electronic

electronic resource

access XXII, 309 p. 157 illus., 108 illus. in color. online resource. 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. Strategies to reduce computational cost and mesh dependency are discussed, as well as regression analysis methods. Several case studies are presented in a section devoted to applications, including assessments of: spark-ignition engines, dual-fuel engines, heavy duty and light duty diesel engines. 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. Computational Optimization of Internal Combustion Engines demonstrates that the current multi-dimensional CFD tools are mature enough for practical development of internal combustion engines. It is written for researchers and designers in mechanical engineering and the automotive industry. 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. by Yu Shi, Hai-Wen Ge, Rolf D. Reitz. Automotive engineering Engineering mathematics Engineering—Data processing Mathematics—Data processing Machinery Automotive Engineering Mathematical and Computational Engineering Applications Computational Science and Engineering Machinery and Machine Elements TL1-483 629.2 9780857296191 https://doi.org/10.1007/978-0-85729-619-1 https://doi.org/10.1007/978-0-85729-619-1 110622 20240716151145.0 978-0-85729-619-1