Overview
Enables readers to master the latest techniques for IC engine optimization using computers
Includes descriptions of new physical models
Contains new optimization strategies
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Table of contents (7 chapters)
Keywords
About this book
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.
Authors and Affiliations
About the authors
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.
Bibliographic Information
Book Title: Computational Optimization of Internal Combustion Engines
Authors: Yu Shi, Hai-Wen Ge, Rolf D. Reitz
DOI: https://doi.org/10.1007/978-0-85729-619-1
Publisher: Springer London
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag London Limited 2011
Hardcover ISBN: 978-0-85729-618-4Published: 24 June 2011
Softcover ISBN: 978-1-4471-6910-9Published: 23 August 2016
eBook ISBN: 978-0-85729-619-1Published: 22 June 2011
Edition Number: 1
Number of Pages: XXII, 309
Topics: Automotive Engineering, Mathematical and Computational Engineering, Computational Science and Engineering, Machinery and Machine Elements