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© 2011

Computational Optimization of Internal Combustion Engines

Book

Table of contents

  1. Front Matter
    Pages i-xxii
  2. Yu Shi, Hai-Wen Ge, Rolf D. Reitz
    Pages 1-14
  3. Yu Shi, Hai-Wen Ge, Rolf D. Reitz
    Pages 15-73
  4. Yu Shi, Hai-Wen Ge, Rolf D. Reitz
    Pages 125-145
  5. Yu Shi, Hai-Wen Ge, Rolf D. Reitz
    Pages 147-176
  6. Yu Shi, Hai-Wen Ge, Rolf D. Reitz
    Pages 177-281
  7. Yu Shi, Hai-Wen Ge, Rolf D. Reitz
    Pages 283-285
  8. Back Matter
    Pages 287-309

About this book

Introduction

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.

Keywords

Computational Models Engine Design Genetic Algorithms Internal Combustion Engine Multi-dimensional CFD Tools

Authors and affiliations

  1. 1., Department of Chemical EngineeringMassachusetts Institute of TechnologyCambridgeUSA
  2. 2., Engine Research CenterUniversity of Wisconsin-MadisonMadisonUSA
  3. 3., Engine Research CenterUniversity of Wisconsin-MadisonMadisonUSA

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

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