Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/80926
Title: X-ray CT assisted damage identification in warm forging
Authors: Lu, XZ 
Chan, LC 
Keywords: Damage
Micro-voids
Representative volume element
Warm forging
X-ray CT
Issue Date: 2018
Publisher: Elsevier
Source: Procedia manufacturing, 2018, v. 15, p. 535-541 How to cite?
Journal: Procedia manufacturing 
Abstract: This study aims to identify the 3-dimensional interactions of micro-voids evolution before and after warm-forging a typical titanium alloy component by employing a micro-focus X-ray CT system so as to achieve a more accurate micro-void location and distribution as critical data input for damage prediction in warm forging. A specific forging tool was designed for warm-forging the component. Serval local regions that represented different strain levels were established as representative volume element models for the Ti-6Al-4V preform, in which, the micro-void distributions were obtained directly from the X-ray CT images. Furthermore, the micro-void evolutions of the corresponding representative volume element models were analyzed from the forged component. Thus, the damage evolution, i.e., the variation of void volume fraction, in the warm forging process was identified.
Description: 17th International Conference on Metal Forming, METAL FORMING 2018, Japan, 16-19 September 2018
URI: http://hdl.handle.net/10397/80926
ISSN: 2351-9789
DOI: 10.1016/j.promfg.2018.07.274
Rights: © 2019 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the scientific committee of the 17th International Conference on Metal Forming.
The following publication Lu, X. Z., & Chan, L. C. (2018). X-ray CT assisted damage identification in warm forging. Procedia Manufacturing, 15, 535-541 is available at https://doi.org/10.1016/j.promfg.2018.07.274
Appears in Collections:Conference Paper

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