Effects of shaft surface texture on journal bearing pressure distribution
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, cilt.168, sa.2, ss.344-353, 2005 (SCI-Expanded, Scopus)
- 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
- 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.