Determination of friction coefficient at journal bearings by experimental and by means of artificial neural networks method

Ünlü B. S., DURMUŞ H., Meriç C., ATİK E.

Mathematical and Computational Applications, vol.9, no.3, pp.399-408, 2004 (Scopus, TRDizin) identifier identifier

  • Publication Type: Article / Article
  • Volume: 9 Issue: 3
  • Publication Date: 2004
  • Doi Number: 10.3390/mca9030399
  • Journal Name: Mathematical and Computational Applications
  • Journal Indexes: Scopus, TR DİZİN (ULAKBİM)
  • Page Numbers: pp.399-408
  • Keywords: Artificial Neural Networks, Friction Coefficient, Journal Bearing
  • Manisa Celal Bayar University Affiliated: Yes

Abstract

Knowing friction coefficient is important for determination of wear loss conditions at journal bearings. Tribological events that influence wear and its variations affect experimental results. In this study, friction coefficient at CuSn10 Bronze radial bearings has been determined by a new approach as experimental and artificial neural networks method. In experiments, effects of bearings have been examined at dry and lubricated conditions and at different loads and velocities.