Design of neural model for analysing journal bearings considering effects of transverse and longitudinal profile

Sinanoglu C.

INDUSTRIAL LUBRICATION AND TRIBOLOGY, cilt.61, ss.132-139, 2009 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 61
  • Basım Tarihi: 2009
  • Doi Numarası: 10.1108/00368790910953640
  • Dergi Adı: INDUSTRIAL LUBRICATION AND TRIBOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.132-139
  • Erciyes Üniversitesi Adresli: Evet

Özet

Purpose - The purpose of this paper is to study the effects of shaft surface profiles on the load carriage capacity of journal bearings using an experimental and neural network approach. The paper aims to inspect the performance characteristics of journal bearing systems; the presence of transverse and longitudinal roughness on journal-shaft surfaces is studied using the proposed neural network.