Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/136905
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Type: Journal article
Title: Feasibility of early fatigue damage evaluation using the Neutron diffraction method
Author: Vidler, J.
Kotousov, A.
Hughes, J.M.
Paradowska, A.
Reid, M.
Ng, C.T.
Citation: Engineering Failure Analysis, 2022; 141
Publisher: Elsevier BV
Issue Date: 2022
ISSN: 1350-6307
1873-1961
Statement of
Responsibility: 
James Vidler, Andrei Kotousov, James M. Hughes, Anna Paradowska, Mark Reid, Ching-Tai Ng
Abstract: One of the most successful applications of the Neutron Diffraction (ND) method is the evaluation of residual stress, specifically in welded structures, and many examples exists in the literature. The present study explores the feasibility of applying the ND method to the evaluation of early high-cycle fatigue damage (i.e. the damage prior to formation of fatigue micro- or macro-cracks). In metals and advanced alloys early fatigue damage is normally associated with the accumulation of irreversible and highly localised micro-plastic strains. These strains change the micro-strain/ stress field on various scale levels. In this study we attempt to measure these changes applying the ND method to G350 steel fatigue samples, which have been relieved from residual stress and subjected to various degrees of high-cycle fatigue damage. Multiple measurements of the strain/ stress field in each sample have been undertaken using the ND method with an incoming beam of 0.5×0.5 mm2. The outcomes demonstrate that it is feasible to evaluate severe fatigue damage using the ND method, and, in general, the severity of the fatigue damage correlates relatively well with the averaged hydrostatic component of the residual stresses measured by the ND. However, more accurate evaluation may require higher spatial resolution (smaller gauge length) and, possibly, a larger number of measurement points to improve the quality of the experimental data.
Keywords: Fatigue damage, Residual stress, Micro-scale, Neutron Diffraction, Non-destructive evaluation
Rights: © 2022 Elsevier Ltd. All rights reserved.
DOI: 10.1016/j.engfailanal.2022.106603
Grant ID: http://purl.org/au-research/grants/arc/DP200102300
Published version: http://dx.doi.org/10.1016/j.engfailanal.2022.106603
Appears in Collections:Mechanical Engineering publications

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