Computational Optimization of Internal Combustion Engines

✍ Scribed by Yu Shi, Hai-Wen Ge, Rolf D. Reitz (auth.)

Publisher: Springer-Verlag London
Year: 2011
Tongue: English
Leaves: 332
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ 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.

✦ Table of Contents

Front Matter....Pages i-xxii
Introduction....Pages 1-14
Fundamentals....Pages 15-73
Acceleration of Multi-Dimensional Engine Simulation with Detailed Chemistry....Pages 75-124
Assessment of Optimization and Regression Methods for Engine Optimization....Pages 125-145
Scaling Laws for Diesel Combustion Systems....Pages 147-176
Applications....Pages 177-281
Epilogue....Pages 283-285
Back Matter....Pages 287-309

✦ Subjects

Automotive Engineering; Appl.Mathematics/Computational Methods of Engineering; Computational Science and Engineering; Machinery and Machine Elements

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