2021
DOI: 10.3390/ma14092251
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Fatigue Performance Evaluation of AZ31B Magnesium Alloy Based on Statistical Analysis of Self-Heating

Abstract: AZ31B magnesium alloy is the experimental material in this study. Considering its anisotropy, fatigue assessment based on self-heating is carried out for both the extrusion direction and the transverse direction. The self-heating behavior in the two orientations is compared. Similar to steels, an obvious inflection point that corresponds to the fatigue limit can be found in the self-heating vs. load curve for AZ31B. A new fatigue limit assessment method is proposed based on a statistical analysis of self-heati… Show more

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Cited by 8 publications
(2 citation statements)
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“…The self-heating method, which has gained much popularity in recent years, is seen as a promising strategy for measuring fatigue [2][3][4][5][6][7][8][9][10][11][12][13]. This method was initially proposed by Luong et al [14] and Risitano et al [15][16][17][18], and it has gradually been confirmed by the pertinent research results of scholars.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The self-heating method, which has gained much popularity in recent years, is seen as a promising strategy for measuring fatigue [2][3][4][5][6][7][8][9][10][11][12][13]. This method was initially proposed by Luong et al [14] and Risitano et al [15][16][17][18], and it has gradually been confirmed by the pertinent research results of scholars.…”
Section: Introductionmentioning
confidence: 99%
“…Mostofizadeh et al [2] evaluated the fatigue performance of shape memory alloy (SMA) based on the temperature-based method, and the results showed that this model has an ideal prediction capacity for SMA's fatigue properties. Guo et al [3,11,19] measured the self-heating curve of the AZ31B magnesium alloy under different loading levels and obtained an obvious turning point of the selfheating versus loading level curve by a statistical method. Finally, the fatigue limit of the experimental materials was well-identified on this basis.…”
Section: Introductionmentioning
confidence: 99%