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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;
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.
· An essential reference for the design of more effective and efficient engines · Proposes new techniques for tribological engine design · Combines advanced design technologies with traditional tribological design methods
Engine design engineers and tribological design researchers. Practicing engineers in manufacturing industries e.g automotive, aerospace.
- No. of pages:
- © Elsevier Science 2004
- 14th July 2004
- Elsevier Science
- Hardcover ISBN:
- eBook ISBN:
State Key Laboratory of Tribology, Tsinghua University, Beijing, China
Mechanical Engineering and Mobile Dept, Hefei University of Technology, China
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