Effects of shaft surface texture on journal bearing pressure distribution


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

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, vol.168, no.2, pp.344-353, 2005 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 168 Issue: 2
  • Publication Date: 2005
  • Doi Number: 10.1016/j.jmatprotec.2005.02.252
  • Journal Name: JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.344-353
  • Keywords: surface texture, journal bearing, neural networks, surface roughness, NEURAL-NETWORK, PERFORMANCE, FRICTION, SYSTEM
  • Erciyes University Affiliated: Yes

Abstract

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.