1996
DOI: 10.1299/kikaia.62.341
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Prediction of Fatigue Strength of Aluminum Casting Alloys by the .RAD.area Parameter Model.

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Cited by 21 publications
(11 citation statements)
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“…A few techniques exist to investigate [9] the influence of cracks on the fatigue life from Peterson [10], Neuber [11], Heywood [12], Siebel and Stiller [13] by relative stress gradient (RSG). More recently, Kobayashi and Matsui [14,15] confirmed the usability of Murakami's parameter to aluminum alloys as well. The criterion based on local stresses is more realistic [16].…”
Section: Introductionmentioning
confidence: 85%
“…A few techniques exist to investigate [9] the influence of cracks on the fatigue life from Peterson [10], Neuber [11], Heywood [12], Siebel and Stiller [13] by relative stress gradient (RSG). More recently, Kobayashi and Matsui [14,15] confirmed the usability of Murakami's parameter to aluminum alloys as well. The criterion based on local stresses is more realistic [16].…”
Section: Introductionmentioning
confidence: 85%
“…So, before the final fatigue fracture, it is important to predict the maximum size of the microstructural factor, at which the crack is preferentially initiated. Murakami et al have proposed the calculation method to predict fatigue strength using the square root area of the maximum casting defect or inclusion [12][13]. The method is based on the extreme value statistic formulated by E. J. Gumbel [14].…”
Section: Fatigue Testsmentioning
confidence: 99%
“…Most of conventional approaches to fatigue have claimed that the fatigue crack is initiated at the maximum defect and grows up to final failure surface. For example, Murakami's square-root area parameter model (25) can predict the fatigue limit based on the maximum defect area and the Vickers hardness, and has been applied not only to steels but also to cast aluminium alloys (5), (10),(12)~(14), (16) . Most of the crack growth models (2),(4),(6),(7), (17), (19) to predict the fatigue life also start from the crack initiation at the maximum stress-raiser, that is, the maximum defect.…”
Section: Introductionmentioning
confidence: 99%