Predictions of friction coefficient in hydrodynamic journal bearing using artificial neural networks

Milčić, Dragan (avtor), Alsammarraie, Amir (avtor), Madić, Miloš (avtor), Krstić, Vladislav (avtor), Milčić, Miodrag (avtor)

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 originally developed device for testing rotating elements: radial and plain bearings. Using the back-propagation neural network, based on experimental data, artificial neural network models were developed to predict the dependence of the friction coefficient and bearing temperature in relation to the radial load and speed. Using experimental data of the measured friction coefficient with which the artificial neural network was trained, well-trained networks with a mean absolute percentage error on training and testing of 0.0054 % and 0.0085 %, respectively, were obtained. Thus, a well-trained neural network model can predict the friction coefficient depending on the radial load and the speed.

• Jezik: Angleški jezik
• Ključne besede: artificial neural network, hydrodynamic journal bearing, babbitt metal tin-based alloy, friction coefficient
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FS - Fakulteta za strojništvo
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2021
• Št. strani: Str. 411-420
• Številčenje: Vol. 67, no. 9
• PID: 20.500.12556/RUL-132473
• UDK: 621.8:681.5
• ISSN pri članku: 0039-2480
• DOI: 10.5545/sv-jme.2021.7230
• COBISS.SI-ID: 82464515
• Datum objave v RUL: 27.10.2021

Gradivo je del revije

• Naslov: Strojniški vestnik
• Skrajšan naslov: Stroj. vestn.
• Založnik: Zveza strojnih inženirjev in tehnikov Slovenije [etc.], = Association of Mechanical Engineers and Technicians of Slovenia [etc.
• ISSN: 0039-2480
• COBISS.SI-ID: 762116

Sekundarni jezik

• Jezik: Slovenski jezik
• Naslov: Napovedovanje količnika trenja pri hidrodinamičnem radialnem drsnem ležaju z uporabo umetnih nevronskih mrež
• Ključne besede: umetna nevronska mreža, hidrodinamični radialni drsni ležaj, količnik trenja, zlitina babbitt-kositer