An Intelligent System for Engine Tribological Design


  • Xiangju Zhang, State Key Laboratory of Tribology, Tsinghua University, Beijing, China
  • Chaglin Gui, Mechanical Engineering and Mobile Dept, Hefei University of Technology, China

The internal combustion is widely used as a power source in engineering. As the demands placed upon engines have increased, tribology has come to play an increasingly important role in their development.This book is a creative combination of intelligent design technology and the tribological design of engines: engine tribology, information science, artificial intelligence, non numerical algorithms, modern design technology and dynamics to propose new methodology and technology for tribological engine design. It not only presents an effective approach to l engine design but also explores a new pattern for research and l design methodology.
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Engine design engineers and tribological design researchers. Practicing engineers in manufacturing industries e.g automotive, aerospace.


Book information

  • Published: July 2004
  • Imprint: ELSEVIER
  • ISBN: 978-0-444-51756-2

Table of Contents

Chapter 1. Engine Tribological Design Methodology and Intelligent System; Chapter 2. General consideration of Tribological design of an engine; Chapter 3. A Symbol Model-based Intelligent System and its Implementation; Chapter 4. The Artificial Neural Network Model and its Application in ICADEDT; Chapter 5. Gene Model-based Comprehensive Decisions for Tribological Design; Chapter 6 A Hierarchical Cooperative Evolutionary Design for Engines; Appendix A; Subject Index;