Computational Optimization of Internal Combustion Engines

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 computatio...

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Bibliographic Details
Main Authors: Shi, Yu. (Author, http://id.loc.gov/vocabulary/relators/aut), Ge, Hai-Wen. (http://id.loc.gov/vocabulary/relators/aut), Reitz, Rolf D. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: London : Springer London : Imprint: Springer, 2011.
Edition:1st ed. 2011.
Subjects:
Online Access:https://doi.org/10.1007/978-0-85729-619-1
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Table of Contents:
  • 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.