2020
DOI: 10.1016/j.ress.2020.107187
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A modified quality loss model of service life prediction for products via wear regularity

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Cited by 53 publications
(37 citation statements)
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“…The reliability analysis of the parts is helpful to understand the quality characteristics of the components in service 21,22 . In fatigue reliability analysis, the overspeed test could be combined with stochastic finite element analysis to quantify the uncertainty of test data, material properties, and load 23 .…”
Section: Introductionmentioning
confidence: 99%
“…The reliability analysis of the parts is helpful to understand the quality characteristics of the components in service 21,22 . In fatigue reliability analysis, the overspeed test could be combined with stochastic finite element analysis to quantify the uncertainty of test data, material properties, and load 23 .…”
Section: Introductionmentioning
confidence: 99%
“…There are many factors affecting the fatigue life of metals. 21,22 Under the action of cyclic load, the fatigue performance of metal decreases continuously, and the cumulative damage of parts makes it to produce fatigue damage continuously. 23 After fatigue damage reaches a certain level, it leads to fatigue failure of the components and endangers the driving safety of the car.…”
Section: Statement Of Problemsmentioning
confidence: 99%
“…The vehicle stabilizer bar is an important safety component on the independent suspension of the automobile; it is also a weak area in the structure of the car. There are many factors affecting the fatigue life of metals 21,22 . Under the action of cyclic load, the fatigue performance of metal decreases continuously, and the cumulative damage of parts makes it to produce fatigue damage continuously 23 .…”
Section: Statement Of Problemsmentioning
confidence: 99%
“…Ju and Wu (2016) used the newly proposed intrinsic strain to establish a damage evolution model for multi-fiber reinforced composites. Some scholars predict the parts fatigue life by mathematical models (Liu et al, 2020a(Liu et al, , 2020b.…”
Section: Introductionmentioning
confidence: 99%