📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Quantification of Creep Cavity Evolution Using a Novel Replica Image Processing Technique (2012)

First Author: Yang H

Attributed to: Revealing and Predicting the Failure Mechanisms in Advanced Materials for Energy - Enhancing Life and Efficiency funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1115/pvp2012-78497

Publication URI: http://dx.doi.org/10.1115/pvp2012-78497

Type: Conference/Paper/Proceeding/Abstract

ISBN: 978-0-7918-5508-9