2014
DOI: 10.1016/j.matdes.2013.09.021
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Predicting the fatigue life of the SAE 1045 steel using an empirical Weibull-based model associated to acoustic emission parameters

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Cited by 35 publications
(15 citation statements)
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“…The test results indicated that the fatigue life decreased in the experiment compared with the prediction life for the combined axial-torsion loading. The combined data plotted in the graph clearly shows that most of the points are within the error factor, while only a few points of 15% are located outside the line correlation, so this agrees with the von Mises criterion for steel [25]. The fatigue life for the three approaches is stated in Table 5.…”
Section: Fatigue Life Assessmentsupporting
confidence: 70%
“…The test results indicated that the fatigue life decreased in the experiment compared with the prediction life for the combined axial-torsion loading. The combined data plotted in the graph clearly shows that most of the points are within the error factor, while only a few points of 15% are located outside the line correlation, so this agrees with the von Mises criterion for steel [25]. The fatigue life for the three approaches is stated in Table 5.…”
Section: Fatigue Life Assessmentsupporting
confidence: 70%
“…Weibull analysis is a statistical method [21,24]. To further confirm the reliability of the corrosion fatigue data for the aforementioned testing conditions, a probabilistic analysis method was proposed using the 3-P Weibull distribution model, in which the failure probability function is expressed as follows:…”
Section: Three-parameter Weibull Distribution Functionmentioning
confidence: 99%
“…Akita et al [20] determined the effects of sensitization on the corrosion fatigue behavior of type 304 stainless steel annealed in nitrogen gas. The interest in the application of low-alloy CrMo steels to railways [1] along with other modified methods and effect factors [21,22] have led to substantial research efforts focused on the fatigue, corrosive fatigue, high-temperature fatigue and enhanced fatigue resistance in the past decade. Nevertheless, these results indicated that the fatigue behavior of some low-alloy CrMo steels in different environmental media was not sufficient for the intended applications.…”
Section: Introductionmentioning
confidence: 99%
“…Weibull analysis is a statistical method [18,21]. To further confirm the reliability of the corrosion fatigue data for the aforementioned testing conditions, a probabilistic analysis method was proposed using the 3-P Weibull distribution model, in which the failure probability function is expressed as follows:…”
Section: -Parameter Weibull Distribution Functionmentioning
confidence: 99%
“…Akita et al [17] determined the effects of sensitization on the corrosion fatigue behavior of type 304 stainless steel annealed in nitrogen gas. The interest in the application of low-alloy CrMo steels to railways [1] along with other modified methods and effect factors [18,19] have led to substantial research efforts focused on the fatigue, corrosive fatigue, high-temperature fatigue and enhanced fatigue resistance in the past decade. Nevertheless, these results indicated that the fatigue behavior of some low alloy CrMo steels in different environmental media was not sufficient for the intended applications.…”
Section: Introductionmentioning
confidence: 99%