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Article

Determination of Friction Coefficient at Journal Bearings by Experimental and by Means of Artificial Neural Networks Method

by
Bekir Sadik Ünlü
*,
Hülya (Kaçar) Durmuş
,
Cevdet Meriç
and
Enver Atik
Celal Bayar University, Mechanical Engineering Department, 45140 Manisa, Turkey
*
Author to whom correspondence should be addressed.
Math. Comput. Appl. 2004, 9(3), 399-408; https://doi.org/10.3390/mca9030399
Published: 1 December 2004
Versions Notes

Abstract

Knowing friction coefficient is important for determination of wear loss conditions at journal bearings. Tribological events that influence wear and its variations affect experimental results. In this study, friction coefficient at CuSn10 Bronze radial bearings has been determined by a new approach as experimental and artificial neural networks method. In experiments, effects of bearings have been examined at dry and lubricated conditions and at different loads and velocities.
Keywords: Friction Coefficient; Journal Bearing; Artificial Neural Networks Friction Coefficient; Journal Bearing; Artificial Neural Networks

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MDPI and ACS Style

Ünlü, B.S.; Durmuş, H.; Meriç, C.; Atik, E. Determination of Friction Coefficient at Journal Bearings by Experimental and by Means of Artificial Neural Networks Method. Math. Comput. Appl. 2004, 9, 399-408. https://doi.org/10.3390/mca9030399

AMA Style

Ünlü BS, Durmuş H, Meriç C, Atik E. Determination of Friction Coefficient at Journal Bearings by Experimental and by Means of Artificial Neural Networks Method. Mathematical and Computational Applications. 2004; 9(3):399-408. https://doi.org/10.3390/mca9030399

Chicago/Turabian Style

Ünlü, Bekir Sadik, Hülya (Kaçar) Durmuş, Cevdet Meriç, and Enver Atik. 2004. "Determination of Friction Coefficient at Journal Bearings by Experimental and by Means of Artificial Neural Networks Method" Mathematical and Computational Applications 9, no. 3: 399-408. https://doi.org/10.3390/mca9030399

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