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

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Custom Article Writing By Xiangju Zhang, Chaglin Gui

The interior combustion is usual 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 ebook is an inventive blend of clever layout expertise and the tribological layout of engines: engine tribology, info technological know-how, man made intelligence, non numerical algorithms, smooth layout expertise and dynamics to suggest new technique and expertise 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 more suitable and effective engines· Proposes new suggestions for tribological engine design· Combines complex layout applied sciences with conventional tribological layout equipment

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The isothermal lubrication analysis of engine bearing considering the surface roughness effect, the thermohydrodynamic lubrication analysis of engine bearing considering the surface roughness effect. Both of them are used to investigate the effect of oil feed features on the loading capacity. The isothermal lubrication analysis indicated that the oil film pressure hold a minimum value for complete oil groove, a maximum value for no existing of oil groove, and an intermediate value for a partial oil groove.

Architecture and implementation subgroup—summary of the workshop discussion. Intelligent CAD, III,, H. Yoshikawa, F. Arbab, and T. , 1991, pp 43-49 14. M. Nagao. Possible contributions of information processing technology to CAD. , H. Yoshikawa, F. Arbab, and T. V. (North-Holland), 1991, pp 3^10 15. X. J. Zhang. Study on the design methods of tribological design for internal combustion engine. PhD. dissertation, Hefei University of Technology,PRC, Dec. 2000 16. A. Hojjat. Knowledge engineering: fundamentals.

Each of these models has its own characteristics, and each one is suitable for dealing with different types of design problem. Their applications in the tribological design will be illustrated in detail in the following chapters. A general overview of their principles and working mechanisms is presented as follows. Symbol models Symbol models are derived from the field of artificial intelligence, and reflect the thought mode of human beings. They represent facts, concepts, judgments, and inference procedures as a chain of symbolic language^^^l Several symbol models are widely used in artificial intelligence, including the rule model, the framework model, the semantic model, the predication logic model, and the object-oriented model, which can be referred to in the literature on Artificial Intelligence or Expert Systems^^'^^l Symbol models are traditional knowledge models used for design experience and knowledge.

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