Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10140262 | International Journal of Fatigue | 2019 | 13 Pages |
Abstract
In order to fully exploit the benefits of shot peening process in terms of fatigue performance, the proper choice of peening conditions is indispensable, which is largely material specific. In this study, the influence of 3 different peening conditions on the axial fatigue life of high strength 300M steel (modified AISI 4340) was investigated in the high cycle fatigue regime. A statistical estimate of 90% survival life at 95% confidence interval was made to rigorously compare the fatigue performance of the material with different surface conditions. The peening induced roughness, compressive residual stresses and their relaxation during cyclic loading were quantified. It was however revealed, that shot peening had no significant effect on this material when tested at 55% of yield strength (Ïy,0.2). The fatigue life was dominated by the larger non-metallic inclusions within the bulk material. An empirical relationship between inclusion size and fatigue life was proposed based on this observation. Furthermore, the inclusion size distribution was well described using Gumbel extreme value distribution allowing the largest inclusion to be predicted in a given volume of steel. The prediction results were in good agreement with the experimentally observed value of the largest inclusion size observed at a fatigue crack initiation site.
Keywords
σsCI95GEVFGAHRCCRSHCFXmaxCDFeCCIEDSVHCFFine granular areaVacuum arc remeltingStatistics of extreme valuesGeneralized Extreme Valueultimate tensile strengthSurface residual stressCompressive residual stressCumulative Distribution FunctionProbability density functionStatistical analysisElectron channeling contrast imagingareaFatigueHigh Cycle FatigueVery high cycle fatiguestandard errorRSMshot peeningcoefficient of determinationLongitudinalenergy dispersive spectroscopyconfidence intervalHigh strength steelSEMYoung’s modulusscanning electron microscopeStress ratioPoisson’s ratioInclusionwt.%Shape parameterScale parameterLocation parameterX-ray diffractionXRDPdfSeVVAR
Related Topics
Physical Sciences and Engineering
Engineering
Mechanical Engineering
Authors
Amrita Bag, Dorian Delbergue, Philippe Bocher, Martin Lévesque, Myriam Brochu,