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

By Xiangju Zhang, Chaglin Gui

The inner combustion is universal 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 e-book is an artistic mix of clever layout know-how and the tribological layout of engines: engine tribology, details technology, man made intelligence, non numerical algorithms, sleek layout know-how and dynamics to suggest new method and know-how for tribological engine layout. It not just offers a good method of l engine layout but additionally explores a brand new development for learn and l layout method.

· a necessary reference for the layout of better and effective engines
· Proposes new innovations for tribological engine design
· Combines complicated layout applied sciences with conventional tribological layout equipment

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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.

8T dT dT dT (du\ dv_ (2-28) — + u— + V \-w — + 'f dz' \dzj ydzj dt dx dy dz In addition to the dimensionless parameters introduced in equation(2-25), several other parameters are adopted as follows, fXf 0) = U / RJ = t/ co,ti =u/U,v =v/U,T = T /TQ,P = p/ PQ Referring to the approach in reference [15], a dimensionless energy equation derived from (2-28) is. dT. dT dT dT 1 d^T P(p~r-) + pU + pV +Y = —-^-r h' a^-2 + ^ ' dt d9 8y dz '^ where, P^ - °„ RK^ r= -l ,a ^ 4 ^ , 0 KfT, (2-29) fduV fdvV' = a - ^ \dz J h + \dz ) YM" iH^^(^ f^H'^i^^ r^"^^ h TQ is the inlet oil temperature, and p^ is the density of lubricant under temperature TQ .

Gene model Symbol models can represent the domain experts' explicit knowledge and transform design decisions into a serial inference procedure. 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.

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