Compensation of billet variabilities through metamodel-based optimization in open die forging
Closed-die forging preforms are usually made by open die forging operations, which are subject to significant variabilities. A sensitivity study covering a wide range of influencing parameters has highlighted the predominant influence of the initial billet geometry. The forging die strokes were also...
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| Published in | International journal of advanced manufacturing technology Vol. 132; no. 3-4; pp. 1665 - 1678 |
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| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
London
Springer London
01.05.2024
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0268-3768 1433-3015 |
| DOI | 10.1007/s00170-024-13392-3 |
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| Abstract | Closed-die forging preforms are usually made by open die forging operations, which are subject to significant variabilities. A sensitivity study covering a wide range of influencing parameters has highlighted the predominant influence of the initial billet geometry. The forging die strokes were also highly influential, while their fidelity is sufficient to use them as control parameters in order to compensate the geometrical dispersions of the billet. Consequently, their optimization was performed by taking a nominal preform geometry as the target. Polynomial surrogate models have been constructed to enable real-time optimization. A specific preform was used as a demonstrator in this study, while the approach was generic. The surrogate models were built using data from finite element simulations, which were first validated with an experimental campaign. On the one hand, this approach introduced agility by allowing changes in the billet geometry, and on the other hand, it allowed individual customization of the specific route to each billet. |
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| AbstractList | Closed-die forging preforms are usually made by open die forging operations, which are subject to significant variabilities. A sensitivity study covering a wide range of influencing parameters has highlighted the predominant influence of the initial billet geometry. The forging die strokes were also highly influential, while their fidelity is sufficient to use them as control parameters in order to compensate the geometrical dispersions of the billet. Consequently, their optimization was performed by taking a nominal preform geometry as the target. Polynomial surrogate models have been constructed to enable real-time optimization. A specific preform was used as a demonstrator in this study, while the approach was generic. The surrogate models were built using data from finite element simulations, which were first validated with an experimental campaign. On the one hand, this approach introduced agility by allowing changes in the billet geometry, and on the other hand, it allowed individual customization of the specific route to each billet. |
| Author | Baudouin, Cyrille Fays, Simon Balan, Tudor Borsenberger, Marc Bigot, Régis Langlois, Laurent |
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| Cites_doi | 10.1016/j.promfg.2020.04.219 10.1007/s00158-010-0545-3 10.1007/s43452-022-00373-0 10.4028/www.scientific.net/KEM.554-557.2138 10.1016/j.commatsci.2007.07.014 10.1016/S0924-0136(97)00023-X 10.1007/s00170-017-0980-z 10.1016/j.jmatprotec.2005.06.066 10.1007/s00170-015-8263-z 10.1007/s00170-019-04451-1 10.1016/j.jmatprotec.2004.02.064 10.1007/s12289-013-1130-2 10.1111/j.0272-4332.2004.00459.x 10.1007/s00170-015-7682-1 10.1016/j.mspro.2014.07.129 10.1007/s00170-016-9209-9 10.1016/j.jmrt.2019.11.047 10.1016/j.compstruc.2011.10.014 10.1016/j.jmatprotec.2014.11.018 10.1177/1056789514544481 10.1007/s12289-023-01744-5 10.1007/s00170-016-8436-4 |
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| Keywords | Forging Geometry variability Process optimization Surrogate model |
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| SubjectTerms | CAE) and Design Closed die forging Computer-Aided Engineering (CAD Engineering Geometry Industrial and Production Engineering Mathematical models Mechanical Engineering Media Management Metamodels Open die forging Optimization Original Article Parameter sensitivity Polynomials Preforms |
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| Title | Compensation of billet variabilities through metamodel-based optimization in open die forging |
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