Global optimisation of the production of complex aluminium tubes by the hydroforming process

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DOIResolve DOI: http://doi.org/10.1016/j.cirpj.2015.02.001
AuthorSearch for: ; Search for: ; Search for: ; Search for: ; Search for: ; Search for:
TypeArticle
Journal titleCIRP Journal of Manufacturing Science and Technology
ISSN1755-5817
SubjectAlgorithms; Aluminum; Drawing (forming); Global optimization; Metal forming; Optimization; Parameter estimation; Product design; Thickness control; Tubes (components); AA6061; Analysis softwares; Global optimisation; Hydroforming process; Tube bending; Tube drawing; Tube hydroforming; Tube hydroforming process; Bending (forming)
AbstractWith the recent development of analysis software products, designers and engineers are able to design more complex parts to obtain better performance in the final products. In this study, the tube hydroforming process, including preceding processes, i.e. variable thickness tube drawing and two-step bending, are globally optimised to obtain parts without any problems like bursting or un-filled zones at the end of the forming processes. Unlike most previous studies which searched for an optimum hydroforming process by changing two hydroforming parameters, i.e. axial load feeding and internal pressure, in this study, the distribution of initial tube wall thickness and the variation of thickness due to bending steps will be taken into account in a global optimisation algorithm. The developed algorithm is a general-purpose algorithm that can encompass different processes and change various parameters in each process to be able to reach the global objective. The case study used was a part that needs two-step variable thickness tube drawing, and two bending steps before hydroforming. To verify the numerical results in each forming stage and at the end of all forming processes, extensive experiments were performed, and acceptable agreements were observed.
Publication date
PublisherElsevier
LanguageEnglish
AffiliationNational Research Council Canada; Automotive and Surface Transportation
Peer reviewedYes
NPARC number21275728
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Record identifierbea6ceb1-b2a6-4240-a604-c8c2dcc3c657
Record created2015-07-14
Record modified2016-05-09
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