Effects of shaft surface texture on journal bearing pressure distribution

Sinanoglu C., Nair F., Karamis M. B.

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, cilt.168, sa.2, ss.344-353, 2005 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 168 Sayı: 2
  • Basım Tarihi: 2005
  • Doi Numarası: 10.1016/j.jmatprotec.2005.02.252
  • Dergi Adı: JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.344-353
  • Anahtar Kelimeler: surface texture, journal bearing, neural networks, surface roughness, NEURAL-NETWORK, PERFORMANCE, FRICTION, SYSTEM
  • Erciyes Üniversitesi Adresli: Evet

Özet

This paper presents an analysis of the pressure development of journal bearing in a various shaft surface texture and velocity variations using a proposed neural network. The effects of the parameters, which act on performances of journal bearing, on the pressure development and load-carriage capacity have been examined such as the number of revolution and shaft surface texture.