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

By Xiangju Zhang, Chaglin Gui

The inner combustion is general as an influence resource in engineering. because the calls for put upon engines have elevated, tribology has come to play an more and more very important position of their development.

This ebook is an artistic mixture of clever layout know-how and the tribological layout of engines: engine tribology, details technological know-how, man made intelligence, non numerical algorithms, smooth layout know-how and dynamics to suggest new technique and know-how for tribological engine layout. It not just provides an efficient method of l engine layout but in addition explores a brand new development for learn and l layout technique.

· a necessary reference for the layout of more suitable 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

Sample text

Therefore, an ICAD system in the field of engineering requires three essential features: various numerical analysis programs, abundant design knowledge, and most importantly, a design decision-making mechanism, which is in charge of managing, retrieving and using the various design knowledge, and invoking the analysis programs. Numerical analysis programs are the basis of conventional computeraided design systems. These are very application-dependent, and include different analytical tools, such as optimization techniques and FEA.

Ten Hagen, and T. Tomiyama. A fundamental and theoretical framework for an intelligent CAD system. Computer-Aided Design. 1990, vol. 6, pp 352-67 10. M. Burry, J. Couslon, J. Preston, et al. Computer-aided design decision support: Interfacing knowledge and information. Automation in Construction. 2000,10(2), pp 203-215 11. S. ). Expert systems in engineering applications. Berlin: Springer-Ver lag, 1993 12. C. Shakeri, I. Deif, P. Katragadda, et al.. Intelligent design system for design automation.

It can analyse the concrete reasonable dimensional parameter values required for detailed design, provide quantitative information on the often conflicting design requirements by which rational compromises can be made, and even expand the design scope to analyse new materials and geometries. Taking the design strategies listed in Figs. 1-6-1-9 as examples, their quantitative effects on the performance of an engine needs to be predicted using a sophisticated lubrication analysis and a Finite Element Analysis (FEA) of the temperature field, in which the material factors, structural factors, and viscosity-temperature property of the lubricant must be taken into account.

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