Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/80926
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Title: X-ray CT assisted damage identification in warm forging
Authors: Lu, XZ 
Chan, LC 
Issue Date: 2018
Source: Procedia manufacturing, 2018, v. 15, p. 535-541
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.
Keywords: Damage
Micro-voids
Representative volume element
Warm forging
X-ray CT
Publisher: Elsevier
Journal: Procedia manufacturing 
ISSN: 2351-9789
DOI: 10.1016/j.promfg.2018.07.274
Description: 17th International Conference on Metal Forming, METAL FORMING 2018, Japan, 16-19 September 2018
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
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