Computational Optimization of Internal Combustion Engines (inbunden)
Format
Inbunden (Hardback)
Språk
Engelska
Antal sidor
309
Utgivningsdatum
2011-06-24
Förlag
Springer London Ltd
Medarbetare
Ge, Hai-Wen / Reitz, Rolf D.
Illustratör/Fotograf
65 schwarz-weiße Tabellen 48 schwarz-weiße und 109 farbige Abbildungen
Illustrationer
65 Tables, black and white; XXII, 309 p.
Dimensioner
234 x 155 x 23 mm
Vikt
590 g
Antal komponenter
1
Komponenter
1 Hardback
ISBN
9780857296184

Computational Optimization of Internal Combustion Engines

Inbunden,  Engelska, 2011-06-24
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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.
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Övrig information

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.

Innehållsförteckning

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.