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A novel method to determine material properties and residual stresses simultaneously using spherical indentation

Mahmoudi, A. H.; Ghanbari-Matloob, M.; Nourbakhsh, S. H.

Authors

Amir Mahmoudi Amir.Mahmoudi@uwe.ac.uk
Senior Lecturer in Engineering Principles

M. Ghanbari-Matloob

S. H. Nourbakhsh



Abstract

Spherical indentation is one of the non-destructive techniques that has gained great interest among researchers in recent years. Spherical indentation is inexpensive and quick and can provide a fairly accurate estimation of in-plane residual stresses. This method has typically been used to characterize material properties. However, the application of the technique to measure residual stresses has also been practiced. In this paper, the parameters of Hollomon’s equation and residual stresses were determined using the load–penetration (P–h) curve technique obtained from a single loading-unloading spherical indentation test. Artificial Neural Networks (ANN) were employed to achieve the best results from the data. Neural networks are trained using the data from a series of finite element analyses. An exponential equation is then fitted to the loading curve. Having the fitted equation and the trained neural networks, the residual stresses and the material characteristics were found simultaneously. An important benefit of this method was that it could be used with no requirement for a reference stress-free sample.

Journal Article Type Article
Acceptance Date Jan 22, 2014
Online Publication Date Mar 18, 2014
Publication Date Jan 22, 2015
Deposit Date Sep 13, 2024
Journal Journal of Testing and Evaluation
Print ISSN 0090-3973
Publisher ASTM International
Peer Reviewed Peer Reviewed
Volume 43
Issue 1
Pages 87-95
DOI https://doi.org/10.1520/jte20130236
Public URL https://uwe-repository.worktribe.com/output/12888814