2022
DOI: 10.1177/09544062221075185
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Heat-flow coupling variation in double-row tapered-roller bearings during the loss of lubrication process

Abstract: Loss of lubrication (LOL) is a severe problem in transmission systems, whereby the temperature increases continuously until failure. The temperature and flow-field distributions are complicated during this process. Limited research exists on the temperature and flow-field distributions and on heat generation of the transmission system during LOL. This study uses the computational fluid dynamics method to establish an oil–gas, two-phase flow model for the asymmetric bearings, and calculate the oil volume fracti… Show more

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Cited by 7 publications
(1 citation statement)
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“…The calculation methods for heat transfer and temperature distribution of bearings are mainly divided into finite element method [ 23 ] and thermal network method [ 24 ]. Compared with the finite element method, the thermal network method has advantages such as mesh density, settable nodes and easy setting of boundary conditions [ 25 ]. Some scholars have studied the number of nodes [ 26 ], the distribution form [ 27 ] and the boundary setting method [ 28 ] of the network, and further developed the transient thermal network model of the bearing system [ 29 ], which can forecast the bearing temperature more precisely than the original steady state model.…”
Section: Introductionmentioning
confidence: 99%
“…The calculation methods for heat transfer and temperature distribution of bearings are mainly divided into finite element method [ 23 ] and thermal network method [ 24 ]. Compared with the finite element method, the thermal network method has advantages such as mesh density, settable nodes and easy setting of boundary conditions [ 25 ]. Some scholars have studied the number of nodes [ 26 ], the distribution form [ 27 ] and the boundary setting method [ 28 ] of the network, and further developed the transient thermal network model of the bearing system [ 29 ], which can forecast the bearing temperature more precisely than the original steady state model.…”
Section: Introductionmentioning
confidence: 99%