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Network analysis for artificial intelligent micro-bearing systems

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EN
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This paper presents the some implementation of network analysis in logical, topological form as a artificial intelligence component applied for determination of optimum system design regard to the micro-bearing operat mg parameters such as carrying load capacity, friction forces, friction coefficient and micro-bearing wear. 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 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. Logical network analysis in graphical form as a mathematical implementation for intelligent micro-bearing mtmerical calculations is presented in this paper. Presented paper establish the scheme of calculation algorithm oj hydrodynamic pressure and carrying capacity changes in micro-bearings for various Journal shapes and for various geometries.
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autor
  • Technical University of Koszalin Institute of Mechatronics, Nanotechnology and Vacuum Technique Racławicka Street 15-17, 75-620 Koszalin, Poland tel: +48 505729119, fax: +48 94 3478489, krzysztof.wierzcholski@wp.pl
Bibliografia
  • [1] Bhushan, B., Nano-tribology and nanomechanics of MEMS/NEMS and BioMEMS, BioNEMS materials and devices, Microelectronic Engineering, Vol. 84, pp. 387-412, 2007.
  • [2] Jang, G. H., Seo, C. H., Lee, H. S., Finite element model analysis of an HDD considering the flexibility of spinning disc-spindle, head-suspension-actuator and supporting structure, Microsystem Technologies, Vol. 13, pp. 837-847, 2007.
  • [3] Kącki, E., Równania różniczkowe czastkowe w zagadnieniach fizyki i techniki, WNT, Warszawa 1968.
  • [4] Kuratowski, K., Wstęp do teorii mnogości i topologii, PWN, Warszawa 1970.
  • [5] Ralston, A., Wstęp do analizy numerycznej, PWN, Warszawa 1971.
  • [6] Russell, S. J., Norvig, P., Artificial Intelligence: A Modern Approach, (2nd ed.), Upper Saddle River, NJ: Prentice Hall, http://aima.cs.berkeley.edu, 2003.
  • [7] Wierzcholski, K., Enhancement of memory capacity in HDD micro- bearing with hyperbolic journals, Journal of Kones Powertrain and Transport, Vol. 15, No. 3, pp. 555-560, 2008.
  • [8] Wierzcholski, K., Bio and Slide Bearings, their Lubrication by Non-Newtonian Oils and Applications in Non-Conventional Systems, Gdansk Univ. of Technology, Vol. 1, 2006.
  • [9] Wierzcholski, K., Miszczak, A., Load Carrying Capacity of Microbearings with Parabolic Journal, Solid State Phenomena, Trans. Technical Publications, Vol. 147-149, pp. 542-547, Switzerland 2009.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BUJ5-0033-0114
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