A holistic inverse approach on depth-sensing indentation characterisation and its application for predicting residual stresses in multi-phase inertia friction welds

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A holistic inverse approach on depth-sensing indentation characterisation and its application for predicting residual stresses in multi-phase inertia friction welds

The present study is concerned with the development of an inverse analysis of the depth-sensing indentation test based on a multi-objective function (MOF) optimisation model. The input data of this model are the load-displacement (P-h) curve extracted from the indentation instrument and the surface...

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Bibliographic Details
Main Author:	Iracheta-Cabrera, Omar Adrian
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2017
Online Access:	https://eprints.nottingham.ac.uk/44781/

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