An Alternate Method to Springback Compensation for Sheet Metal Forming
The aim of this work is to improve the accuracy of cold stamping product by accommodating springback. This is a numerical approach to improve the accuracy of springback analysis and die compensation process combining the displacement adjustment (DA) method and the spring forward (SF) algorithm. This...
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| Format: | Online |
| Language: | English |
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Hindawi Publishing Corporation
2014
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4140107/ |
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pubmed-4140107 |
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pubmed-41401072014-08-27 An Alternate Method to Springback Compensation for Sheet Metal Forming Siswanto, Waluyo Adi Anggono, Agus Dwi Omar, Badrul Jusoff, Kamaruzaman Research Article The aim of this work is to improve the accuracy of cold stamping product by accommodating springback. This is a numerical approach to improve the accuracy of springback analysis and die compensation process combining the displacement adjustment (DA) method and the spring forward (SF) algorithm. This alternate hybrid method (HM) is conducted by firstly employing DA method followed by the SF method instead of either DA or SF method individually. The springback shape and the target part are used to optimize the die surfaces compensating springback. The hybrid method (HM) algorithm has been coded in Fortran and tested in two- and three-dimensional models. By implementing the HM, the springback error can be decreased and the dimensional deviation falls in the predefined tolerance range. Hindawi Publishing Corporation 2014 2014-06-11 /pmc/articles/PMC4140107/ /pubmed/25165738 http://dx.doi.org/10.1155/2014/301271 Text en Copyright © 2014 Waluyo Adi Siswanto et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| repository_type |
Open Access Journal |
| institution_category |
Foreign Institution |
| institution |
US National Center for Biotechnology Information |
| building |
NCBI PubMed |
| collection |
Online Access |
| language |
English |
| format |
Online |
| author |
Siswanto, Waluyo Adi Anggono, Agus Dwi Omar, Badrul Jusoff, Kamaruzaman |
| spellingShingle |
Siswanto, Waluyo Adi Anggono, Agus Dwi Omar, Badrul Jusoff, Kamaruzaman An Alternate Method to Springback Compensation for Sheet Metal Forming |
| author_facet |
Siswanto, Waluyo Adi Anggono, Agus Dwi Omar, Badrul Jusoff, Kamaruzaman |
| author_sort |
Siswanto, Waluyo Adi |
| title |
An Alternate Method to Springback Compensation for Sheet Metal Forming |
| title_short |
An Alternate Method to Springback Compensation for Sheet Metal Forming |
| title_full |
An Alternate Method to Springback Compensation for Sheet Metal Forming |
| title_fullStr |
An Alternate Method to Springback Compensation for Sheet Metal Forming |
| title_full_unstemmed |
An Alternate Method to Springback Compensation for Sheet Metal Forming |
| title_sort |
alternate method to springback compensation for sheet metal forming |
| description |
The aim of this work is to improve the accuracy of cold stamping product by accommodating springback. This is a numerical approach to improve the accuracy of springback analysis and die compensation process combining the displacement adjustment (DA) method and the spring forward (SF) algorithm. This alternate hybrid method (HM) is conducted by firstly employing DA method followed by the SF method instead of either DA or SF method individually. The springback shape and the target part are used to optimize the die surfaces compensating springback. The hybrid method (HM) algorithm has been coded in Fortran and tested in two- and three-dimensional models. By implementing the HM, the springback error can be decreased and the dimensional deviation falls in the predefined tolerance range. |
| publisher |
Hindawi Publishing Corporation |
| publishDate |
2014 |
| url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4140107/ |
| _version_ |
1613126267686617088 |