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Measurement of Creep Deformation across Welds in 316H Stainless Steel Using Digital Image Correlation

Sakanashi, Y.; Gungor, S.; Forsey, A. N. and Bouchard, P. J. (2017). Measurement of Creep Deformation across Welds in 316H Stainless Steel Using Digital Image Correlation. Experimental Mechanics, 57(2) pp. 231–244.

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Spatially resolved measurement of creep deformation across weldments at high temperature cannot be achieved using standard extensometry approaches. In this investigation, a Digital Image Correlation (DIC) based system has been developed for long-term high-temperature creep strain measurement in order to characterise the material deformation behaviour of separate regions of a multi-pass weld. The optical system was sufficiently stable to allow a sequence of photographs to be taken suitable for DIC analysis of creep specimens tested at a temperature of 545 °C for over 2000 h. The images were analysed to produce local creep deformation curves from two cross-weld samples cut from contrasting regions of a multi-pass V-groove weld joining thick-section AISI Type 316H austenitic stainless steel. It is shown that for this weld, the root pass is the weakest region of the structure in creep, most likely due to the large number of thermal cycles it has experienced during the fabrication process. The DIC based measurement method offers improved spatial resolution over conventional methods and greatly reduces the amount of material required for creep characterisation of weldments.

Item Type: Journal Item
Copyright Holders: 2016 The Authors
ISSN: 1741-2765
Project Funding Details:
Funded Project NameProject IDFunding Body
EDF Energy High Temperature Centre Research at the OU, 2014 - 17Not SetEDF Energy
DMW-Creep: Influence of Inhomogeneity on Creep of Dissimilar Metal welds (XD-12-046-PJB)EP/K007866/1EPSRC (Engineering and Physical Sciences Research Council)
Keywords: digital image correlation; creep; weld properties; high temperature; 316H
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Engineering and Innovation
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Health and Wellbeing PRA (Priority Research Area)
Item ID: 48049
Depositing User: Alex Forsey
Date Deposited: 21 Dec 2016 11:56
Last Modified: 29 May 2019 15:32
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