Tehnički vjesnik, Vol. 27 No. 2, 2020.
Izvorni znanstveni članak
https://doi.org/10.17559/TV-20191004093047
Assessment of Probability of Gear Tooth Side Wear of a Planetary Gearbox
Predrag Živković*
; Faculty of Technical Sciences, 7 Kneza Miloša street, K. Mitrovica, Serbia
Milosav Ognjanović
; Faculty of Mechanical Engineering, 16 Kraljice Marije street, Belgrade, Serbia
Ivica Čamagić
; Faculty of Technical Sciences, 7 Kneza Miloša street, K. Mitrovica, Serbia
Milivoje Jovanović
; Faculty of Technical Sciences, 7 Kneza Miloša street, K. Mitrovica, Serbia
Dragan Kalaba
; Faculty of Technical Sciences, 7 Kneza Miloša street, K. Mitrovica, Serbia
Radoljub Tomić
; Faculty of Strategic and Operational Management University Union, Staro sajmiste bb, Belgrade, Serbia
Ivan Grgić
; Josip Juraj Strossmayer University of Osijek, Mechanical Engineering Faculty in Slavonski Brod, Trg Ivane Brlić-Mažuranić 2, HR-35000 Slavonski Brod, Croatia
Sažetak
Gear tooth side wear in planetary gearboxes represents one of the main reasons for damage occurring in these gears. Wear magnitude is unpredictable and depends on temperature, lubrication, load, material and other random variables. Wear is a non-stationary process which is impossible to describe using a mathematical model, or to accurately assess its intensity, magnitude and distribution along the tooth sides. This paper suggests a probability assessment model for gear tooth side wear, based on experimental tests and a statistical representation of obtained results. Experimental tests of planetary gearbox gears were performed within a closed power circuit, using a previously prepared testing table, and the results of wear probability distribution were analysed. Wear probability distribution was represented using the Weibull distribution model. Obtained results of this statistical analysis have shown good compliance with the experimental ones, hence this model is applicable to all gearboxes. This method represents a considerable contribution to wear probability distribution assessment and can be used in order to assess the work life and elementary reliability of gears.
Ključne riječi
damage; gear; probability distribution; tooth; wear
Hrčak ID:
236801
URI
Datum izdavanja:
15.4.2020.
Posjeta: 1.415 *