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Predictions of friction coefficient in hydrodynamic journal bearing using artificial neural networks
Dragan Milčić, Amir Alsammarraie, Miloš Madić, Vladislav Krstić, Miodrag Milčić
Izvirni znanstveni članek
Oznake: artificial neural network;hydrodynamic journal bearing;babbitt metal tin-based alloy;friction coefficient;
This paper explores the influence of the frequency of shaft sleeve rotation and radial load on a journal bearing made of tin-babbitt alloy (Tegotenax V840) under hydrodynamic lubrication conditions. An experimental test of the frictional behaviour of a radial plain bearing was performed on an origin ...
Leto: 2021 Vir: Fakulteta za strojništvo (UL FS)
Št. zadetkov: 1
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