03463nam a22005775i 4500 27368 27368 978-0-85729-619-1 DE-He213 20240716151145.0 a|||||o|||| 00| 0 cr nn 008mamaa 110622s2011 xxk| s |||| 0|eng d 9780857296191 10.1007/978-0-85729-619-1 doi imu-kc TL1-483 TRC bicssc TEC009090 bisacsh TRC thema 629.2 23 Shi, Yu. author. aut http://id.loc.gov/vocabulary/relators/aut Computational Optimization of Internal Combustion Engines [electronic resource] / by Yu Shi, Hai-Wen Ge, Rolf D. Reitz. 1st ed. 2011. London : Springer London : Imprint: Springer, 2011. XXII, 309 p. 157 illus., 108 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda 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. 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. 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. 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) Springer Nature eBook Printed edition: 9780857296207 Printed edition: 9780857296184 Printed edition: 9781447169109 https://doi.org/10.1007/978-0-85729-619-1 ddc EBK