DOIONLINE 
DOIONLINE Publish In |
International Journal of Mechanical and Production Engineering (IJMPE)-IJMPE |
 Journal Home Volume Issue |
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Issue |
Volume-4,Issue-9 ( Sep, 2016 ) | |||||||||
Paper Title |
Investigation of Bending Over Sheave Fatigue Life of Stranded Steel Wire Rope by Artificial Neural Networks | |||||||||
Author Name |
Yusuf Aytac Onur, Cevat Erdem Imrak, Tugbaozge Onur | |||||||||
Affilition |
1 Mechanical Engineering Department, Bulent Ecevit University,Turkey 2 Mechanical Engineering Department, Istanbul Technical University,Turkey Electrical-Electronics Engineering Department, Bulent Ecevit University,Turkey | |||||||||
Pages |
47-49 | |||||||||
Abstract |
Steel wire ropes are used in elevators, cranes, mine hoistings, bridges, offshore and aerial ropeway systems. In this study, bending over sheave (BoS) fatigue lifetimes of 6 × 36 Warrington-Seale steel wire ropes have been determined experimentally. The artificial neural networks (ANN) was trained using experimental data through the back propagation algorithm containing double input and single output parameters. The results showed that there has been rather good correlation between predicted results by using ANN and the measured BoS fatigue life experimental data. Keywords— Bending Over Sheave Fatigue, Steel Wire Rope, Artificial Neural Networks. | |||||||||
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