2018
DOI: 10.1051/matecconf/201816504004
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Effect of local anisotropy on fatigue crack initiation in a coarse grained nickel-base superalloy

Abstract: Abstract. In the present work, theoretical approaches, based on grain orientation dependent Young's modulus and Schmid factor are used to describe the influence of local grain orientation on crack initiation behaviour of the coarse grained nickel base superalloy René80. Especially for strongly anisotropic crystal structures with large grain size, such as the investigated material, the local elastic properties must be taken into account for assessment of fatigue crack initiation. With an extension of Schmid's l… Show more

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Cited by 17 publications
(22 citation statements)
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References 19 publications
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“…By considering the different grain orientation distributions in both batches it is possible to explain the observed crack initiation life differences qualitatively, as well as quantitatively (Sections 3.4 and 3.5). Note that LCF test data from Seibel [29] was used for probabilistic model calibration and its predictions are compared to the fine grain test data generated by Engel et al [25,31].…”
Section: Resultsmentioning
confidence: 99%
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“…By considering the different grain orientation distributions in both batches it is possible to explain the observed crack initiation life differences qualitatively, as well as quantitatively (Sections 3.4 and 3.5). Note that LCF test data from Seibel [29] was used for probabilistic model calibration and its predictions are compared to the fine grain test data generated by Engel et al [25,31].…”
Section: Resultsmentioning
confidence: 99%
“…Plastic deformation of a metallic grain begins if one resolved shear stress within the slip systems of the crystal exceeds a critical value τ CRSS . As the E·m model in [25,31] proposed for coarse grained Ni-base superalloys, the resulting shear stress in the slip systems depends on the grains local Young's moduli and its Schmid factor m. According to [28,30] m is defined as…”
Section: Derivation Of the Schmid Factor Distributionmentioning
confidence: 99%
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