Computational Optimization of Internal Combustion Engines

Yu Shi (u. a.)

ISBN 10: 1447169107 / ISBN 13: 9781447169109

Published by Springer London, 2016

About this Item

Computational Optimization of Internal Combustion Engines | Yu Shi (u. a.) | Taschenbuch | xxii | Englisch | 2016 | Springer London | EAN 9781447169109 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 103426194

Bibliographic Details

• Title: Computational Optimization of Internal Combustion Engines
• Publisher: Springer London
• Publication Date: 2016
• Language: English
• ISBN 10: 1447169107
• ISBN 13: 9781447169109
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 19D millimeters 235 millimeters width by 155 millimeters height by 19 millimeters depth
• Weight: 505 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.

About the Author

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.