journal article·2021-11Open access

High-resolution digital image correlation study of the strain localization during loading of a shot-peened RR1000 nickel-based superalloy

Alberto Orozco-Caballero, Thomas Jackson, João Quinta da Fonseca

Acta Materialia· Volume 220

Abstract

The improved crack nucleation resistance of shot-peened materials has been usually studied from the point of view of the residual compression stresses. Nevertheless, experimental limitations have made difficult to quantify strain localization during further deformation. In this study, we have used high-resolution digital image correlation (HRDIC) and electron backscatter diffraction (EBSD) in a large area covering shot-peened material and bulk to study quantitatively the strain distribution at the submicron scale. We found that, at the earlier deformation steps (e < 2.5%), the slip intensity and distribution at the shot-peened region differ from that observed at the bulk. In the former, well-spaced, sharp and homogeneously distributed slip bands are observed. On the other hand, in the shot-peened region, slip is less evident, and a more homogeneous diffuse deformation is observed along the majority of the grains. However, this region also contains a small number of slip bands that accumulate high strains, mainly along Σ3 annealing twin boundaries. Additionally, the border between both regions, at a depth with no residual stresses, present the minimum strain values. During further deformation (e > 2.5%), the strain distributions become similar along the material simultaneously to the residual stresses relaxation. A further analysis of the HRDIC maps allowed for the first time to quantify strain heterogeneity. This study reveals the importance of the local stress state and the strain history on the strain localization.
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Research context

OpenAlex topics: Surface Treatment and Residual Stress · Fatigue and fracture mechanics · Welding Techniques and Residual Stresses

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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