Selection of Fluid Film Journal Bearing: A Fuzzy Approach

  • V. K. Dwivedi
  • Satish Chand
  • K. N. Pandey
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 166)

Abstract

This paper presents a selection procedure for fluid film journal bearing by incorporating fuzzy approach. In this paper a fuzzy based selection model is proposed which can be applied for selection of hydrostatic, hydrodynamic and hybrid journal bearing. Selection criteria is formulated for the choice of space requirement, cost of bearing and load carrying capacity of the corresponding journal bearing. This approach provides a third dimension to the existing method of selection of bearing, which is dynamic and may be further refined to address to every individual needs. Therefore a fuzzy logic approach is used for decision making.

Keywords

Fluid film Journal bearing fuzzy logic Expert system 

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References

  1. 1.
    Zadeh, L.A.: Fuzzy sets. Information and Control 8, 338–353 (1965)CrossRefMATHMathSciNetGoogle Scholar
  2. 2.
    Bellman, R., Giertz, M.: On the analytic formalism of the theory of fuzzy sets. Information Sciences 5, 149–156 (1973)CrossRefMATHMathSciNetGoogle Scholar
  3. 3.
    Rowe, W.B.: Hydrostatic and Hybrid bearing Design. Butterworth Heinemann, Boston (1983)Google Scholar
  4. 4.
    Row, W.B., Cheng, K., Ives, D.: An Intelligent Design System for Recessed Hydrostatic Journal Bearings. Wear 159, 95–105 (1992)CrossRefGoogle Scholar
  5. 5.
    Cheng, K., Rowe, W.B.: A selection strategy for the design of externally pressurized journal bearing. Tribology International 28(7), 465–474 (1995)CrossRefGoogle Scholar
  6. 6.
    Derrig, R., Ostaszewski, K.: Fuzzy techniques of pattern recognition in risk and claim classification. The Journal of Risk and Insurance 62(3), 447–482 (1995)CrossRefGoogle Scholar
  7. 7.
    Ross, T.J.: Fuzzy Logic with Engineering Applications. McGraw-Hill, Singapore (1997)Google Scholar
  8. 8.
    Deshmukh, A., Lakshminarayana, T.: A rule-based fuzzy reasoning system for assessing the risk of management fraud. International Journal of Intelligent Systems in Accounting, Finance & Management 4, 231–241 (1998)Google Scholar
  9. 9.
    Beek, A., Ostayen, R.A.J.: The design of partially grooved externally pressurized bearings. Tribology International 39, 833–838 (2006)CrossRefGoogle Scholar
  10. 10.
    Garg, H.C., Sharda, H.B., Kumar, V.: On the design and Development of Hybrid Journal Bearing: A Review. Tribotest 12, 1–19 (2006)CrossRefGoogle Scholar
  11. 11.
    Roy, L., Laha, S.K.: steady state and dynamic characteristics of axial grooved journal bearings. Tribology International 42, 754–761 (2009)CrossRefGoogle Scholar
  12. 12.
    Garg, H.C., Kumar, V., Sharda, H.B.: Performance of slot –entry hybrid journal bearings considering combined influences of thermal effects and non- Newtonian behavior of lubricant. Tribology International 43, 1528–1531 (2010)CrossRefGoogle Scholar
  13. 13.
    Sharma, S.C., Phalle, V.M., Jain, S.C.: Performance analysis of a multirecess capillary compensated conical hydrostatic journal bearing. Tribology International 44, 617–628 (2011)CrossRefGoogle Scholar
  14. 14.
    Phalle, V.M., Sharma, S.C., Jain, S.C.: Influence of wear on the performance of 2-lobe multirecess hybrid bearing system compensated with membrane restrictor. Tribology International 44, 380–395 (2011)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  • V. K. Dwivedi
    • 1
  • Satish Chand
    • 2
  • K. N. Pandey
    • 2
  1. 1.Department of Mechanical EngineeringGLA, UniversityMathuraIndia
  2. 2.Department of Mechanical EngineeringMNNITAllahabadIndia

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