The analysis of the effects of surface texture on the capability of load carriage of journal bearings using neural network
INDUSTRIAL LUBRICATION AND TRIBOLOGY, cilt.57, sa.1, ss.28-40, 2005 (SCI-Expanded, Scopus)
- 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.