Logical network of vector spaces for intelligent optimum values of operational slide bearing parameters

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Logical network of vector spaces for intelligent optimum values of operational slide bearing parameters

Journal Title: Tribologia - Year 2012, Vol 246, Issue 6

Abstract

This paper presents the implementation of logical network of vector spaces in topological form as a artificial intelligence component applied for determination of optimum system design regard to the micro-bearing operating parameters such as carrying load capacity, friction forces, friction coefficient and bearing wear. The tools of fuzzy logic, and robotics development calculations are applied. Presented in this paper artificial intelligence tools of calculations for micro-bearings systems determine the method using in mechatronics where are investigated the principles of intelligent behavior of micro-bearings and are created its new formal models using computer programs which can make simulations models of slide micro-bearing behavior during the exploitation process. Fuzzy logic is a mathematical object with defined multivalued function which has values in closed set [0,1]. In classical case mentioned function has only two values namely zero and one. This paper presents the fuzzy logic tools in intelligent micro-bearing systems. Efficient functioning of slide micro-bearings systems require to choice the proper journal shapes, bearing materials, roughness of bearing surfaces and many other features to which belongs capability to the processes and control. Artificial intelligence of micro-bearing leads to the creating and indicating of the network logical models to describe most simple and most proper topological graphical schemes presenting the design of anticipated processes. Application of the logical network analysis into the micro-bearing HDD design is the subject-matter of this paper.

Authors and Affiliations

Krzysztof Wierzcholski, Andrzej Miszczak

Keywords

EP ID EP270003
DOI -
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