Download An Intelligent System for Engine Tribological Design, Volume by Xiangju Zhang, Chaglin Gui PDF

By Xiangju Zhang, Chaglin Gui

The inner combustion is primary as an influence resource in engineering. because the calls for positioned upon engines have elevated, tribology has come to play an more and more very important position of their development.This publication is an artistic mixture of clever layout know-how and the tribological layout of engines: engine tribology, info technology, man made intelligence, non numerical algorithms, smooth layout know-how and dynamics to suggest new method and know-how for tribological engine layout. It not just offers an efficient method of l engine layout but additionally explores a brand new trend for study and l layout technique. · a vital reference for the layout of greater and effective engines· Proposes new thoughts for tribological engine design· Combines complicated layout applied sciences with conventional tribological layout tools

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Additional resources for An Intelligent System for Engine Tribological Design, Volume 46 (Tribology and Interface Engineering)

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ANN can simulate complicated functional relationships or the implicit knowledge implied in experimental or calculation data, and can transform these into rules to expand the coverage of symbol models. The previously defined concept, normal design problem, can be dealt with directly and efficiently by an intelligent system based on the symbol and the ANN models. However, not all of the design problems encountered in tribological design of engines are normal design problems, because they are essentially multi-purpose, multi-constraint, and multi-parameter problems.

3' 4' j " o TflWe2-3. 91 Table 2-4. 15 A^,a^,a^,a. 2 Thermohydrodynamic lubrication analysis of the engine bearing system considering surface roughness effect^^'^^J To perform the THD analysis, it is required to solve a generalized 50 Chapter 2 Reynolds equation combining a 2-dimentional average flow model, energy equation, heat conduction equation and load equilibrium equation, which will be described in the following sections. Generalized Reynolds equation based on the average flow model Since the surface roughness effect and heat effect are simultaneously involved, a generalized Reynolds equation based on the average flow model is adopted in this book, which was deduced by Dr.

This is the situation a comprehensive parallel decision support mechanism is required. Thus, a new parallel knowledge model needs to be adopted, called the gene model. The gene model derives from the concept involved in genetic algorithms (GAs). GAs are robust search mechanisms based on the principle of population genetics, natural selection, and evolution^^^'^^i. , chromosomes), which can be reproduced, crossed, or mutated to enable the creature population to propagate, evolve, or degenerate. , the fittest creatures in a population have more opportunities to survive and reproduce new offspring than others.

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