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, cilt.9, sa.3, ss.399-408, 2004 (Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 9 Sayı: 3
  • Basım Tarihi: 2004
  • Doi Numarası: 10.3390/mca9030399
  • Dergi Adı: Mathematical and Computational Applications
  • Derginin Tarandığı İndeksler: Scopus, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.399-408
  • Anahtar Kelimeler: Artificial Neural Networks, Friction Coefficient, Journal Bearing
  • Manisa Celal Bayar Üniversitesi Adresli: Evet

Özet

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.