2020
DOI: 10.1016/j.ijfatigue.2019.105274
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Effect of different shot peening conditions on the fatigue life of 300 M steel submitted to high stress amplitudes

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Cited by 35 publications
(14 citation statements)
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“…The outstanding fatigue properties of burnished pre-ground samples, in comparison to burnished pre-turned samples, are attributed to the better surface roughness (0.080 µm in comparison to 0.281 µm R a ), 1618 the formation of harder surface layers (358 HV in comparison to 330 HV) 10,21 and exhibition of compressive residual stresses. 1920 As mentioned before, a lower surface roughness delays the fatigue crack nucleation in stress concentration regions, 24 thereby increasing the fatigue life. On the other hand, increasing the surface hardness makes the movement of dislocations more difficult, 10 and therefore, the crack initiation is delayed further.…”
Section: Resultsmentioning
confidence: 87%
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“…The outstanding fatigue properties of burnished pre-ground samples, in comparison to burnished pre-turned samples, are attributed to the better surface roughness (0.080 µm in comparison to 0.281 µm R a ), 1618 the formation of harder surface layers (358 HV in comparison to 330 HV) 10,21 and exhibition of compressive residual stresses. 1920 As mentioned before, a lower surface roughness delays the fatigue crack nucleation in stress concentration regions, 24 thereby increasing the fatigue life. On the other hand, increasing the surface hardness makes the movement of dislocations more difficult, 10 and therefore, the crack initiation is delayed further.…”
Section: Resultsmentioning
confidence: 87%
“…The surface roughness is one of the most important parameters influencing the fatigue life of components because it is assumed to be detrimental to fatigue crack nucleation due to the stress concentration factor. 24…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The models considered were the generalized extreme value (GEV), log-normal, normal and Weibull distributions. The log-normal distribution, frequently used to characterize fatigue life data of polished samples [37,38], best fit the majority of the results as expanded upon in Section 3.3. The probability density function f log −normal (x) for a random variable x following the log-normal distribution is given by:…”
Section: Probabilistic Analysismentioning
confidence: 89%
“…Surface treatments that generate compression-type residual stresses are ideal for improving the fatigue life of the treated parts [18]. Shot peening processes have been used to effectively improve fatigue strength of steel alloys [19,20].…”
Section: Introductionmentioning
confidence: 99%