The analysis of the effects of surface texture on the capability of load carriage of journal bearings using neural network

Sinanoglu C.

INDUSTRIAL LUBRICATION AND TRIBOLOGY, cilt.57, sa.1, ss.28-40, 2005 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 57 Sayı: 1
  • Basım Tarihi: 2005
  • Doi Numarası: 10.1108/00368790510575969
  • Dergi Adı: INDUSTRIAL LUBRICATION AND TRIBOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.28-40
  • Erciyes Üniversitesi Adresli: Evet

Özet

Purpose - This paper investigates the load carrying capacity of the journal bearings with steel shafts with varying surface texture in varying revolutions using experimental and neural network (NN) approach.