Experimental investigation and prediction of the maximum edge longitudinal membrane strain and springback of Chain-die-formed AHSS U-channels using response surface methodology

Sun, Yong, Li, Yaguang, Liu, Zhaobing, Daniel, William JT, Shi, Lei, Meehan, Paul A and Ding, Shichao 2017, Experimental investigation and prediction of the maximum edge longitudinal membrane strain and springback of Chain-die-formed AHSS U-channels using response surface methodology, International journal of advanced manufacturing technology, vol. 90, no. 5-8, pp. 1963-1976, doi: 10.1007/s00170-016-9522-3.

Attached Files
Name Description MIMEType Size Downloads

Title Experimental investigation and prediction of the maximum edge longitudinal membrane strain and springback of Chain-die-formed AHSS U-channels using response surface methodology
Author(s) Sun, YongORCID iD for Sun, Yong orcid.org/0000-0003-3268-3814
Li, Yaguang
Liu, Zhaobing
Daniel, William JT
Shi, Lei
Meehan, Paul A
Ding, Shichao
Journal name International journal of advanced manufacturing technology
Volume number 90
Issue number 5-8
Start page 1963
End page 1976
Total pages 14
Publisher Springer
Place of publication Cham, Switzerland
Publication date 2017-05
ISSN 0268-3768
1433-3015
Keyword(s) Chain-die forming
AHSS
Quality evaluation
Maximum edge longitudinal membrane strain
Springback
Response surface method
Language eng
DOI 10.1007/s00170-016-9522-3
Indigenous content off
Field of Research 01 Mathematical Sciences
08 Information and Computing Sciences
09 Engineering
HERDC Research category C1.1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30137967

Document type: Journal Article
Collections: Institute for Frontier Materials
GTP Research
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 9 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 10 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Wed, 03 Jun 2020, 15:48:09 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.