2022
DOI: 10.3390/lubricants10040071
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Accelerated Wear Test Design Based on Dissipation Wear Model Entropy Analysis under Mixed Lubrication

Abstract: Theoretical life prediction of tribo-pairs such as seals, bearings and gears with the failure form of wear under mixed lubrication depends on quantitative analysis of wear. Correspondingly, the wear life test depends on an accelerated wear test method to save the time and financial costs. Therefore, the theoretical basis of accelerated test design is a wear model providing a quantitative relationship between equivalents and accelerated test duration. In this paper, an accelerated wear test design method based … Show more

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Cited by 6 publications
(2 citation statements)
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“…This wear model connects the wear volume with the shear collision energy, and its accuracy has been verified by experiments in a laboratory-scale planetary ball mill. An accelerated wear test design method based on dissipation wear model entropy analysis under mixed lubrication was proposed by Li et al [20]. However, most wear-related studies use the Archard wear law.…”
Section: Introductionmentioning
confidence: 99%
“…This wear model connects the wear volume with the shear collision energy, and its accuracy has been verified by experiments in a laboratory-scale planetary ball mill. An accelerated wear test design method based on dissipation wear model entropy analysis under mixed lubrication was proposed by Li et al [20]. However, most wear-related studies use the Archard wear law.…”
Section: Introductionmentioning
confidence: 99%
“…An analysis of recent publications on the use of mathematical models for predicting the reliability and service life of tribosystems at the stage of development and design allows us to conclude that entropy analysis is promising in the study of energy dissipation during friction [3][4][5][6]. For example, in [4], a mathematical model for predicting the reliability of rolling bearings is developed on the basis of the hierarchical Bayesian method of maximum entropy.…”
mentioning
confidence: 99%