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

By Xiangju Zhang, Chaglin Gui

The inner combustion is established 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 artistic mix of clever layout expertise and the tribological layout of engines: engine tribology, details technology, synthetic 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 a good 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 beneficial and effective engines· Proposes new innovations for tribological engine design· Combines complicated layout applied sciences with conventional tribological layout tools

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Tallian. Tribological design decisions using computerized databases. Transactions of ASME: journal of Tribology, 1987,109(3), pp381-387 3. C. M. Taylor. Automobile engine Tribology - design considerations for efficiency and durability. Wear, 1998, 221, pp 1-8 4. C. L. Gui. A study on tribological design methods for machine parts. Chinese journal of Mechanical Engineering. 1992, vol. 5(4), pp 268-274 5. C. M. Taylor. Engine Tribology. V. 1993 6. D. Dowson, C. M. Taylor, M. Godet, and D. Berthe. Tribology of reciprocating engines.

Then, the input sum of yi neural units is m n,-Yj^,x, (1-3) where m is the number of neural units in the input layer. Then, the output of the yj neural units is >',=/(«,+^) (1-4) The output of the entire network is given by ^Ayx^yi^y^ yn] (i-s) From its structure (the units and arcs) and trigger functions, an ANN can represent complicated non-linear mapping relationships between its input layer parameters and its output layer parameters. Different functional relationships may correspond with different structures and weights of the neural net.

This can be represented by an IF-THEN rule IF (the frictional power loss > the design criterion) THEN (decrease the friction coefficient). 22 Chapter 1 In addition, in the intelligent system for tribological design of engine, the rules can be used to represent domain experts' design strategies. ) If there are enough IF-THEN rules to describe each inference step of the design procedure, then the design decision will be a direct and automatic inference process. If all the design parameters and variables referred to during the design process can be described as symbol models, and all the design strategies can be described step-by-step using the rules from experience and knowledge, then the design problem is assumed to be a "Normal Design Problem" in our nomenclature.

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