Parametric identification on a dynamic behavior model for a forging machine

Parametric identification on a dynamic behavior model for a forging machine

DURAND Camille, SONG Heyu, BIGOT Régis

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Abstract. Dynamic models using masses, dampers and springs have been developed to represent the behavior of energy piloted machines. These models were proven to estimate more accurately the required amount of energy to forge a part. But how to identify the parameters of the model to accurately represent the behavior of a specific machine? In this study, the case of a strike without billet on a screw press is investigated, different target functions are tested to identify the model parameters and a sensitivity study of the optimization is performed. Results are encouraging.

Target Function, Sensitivity Study, Optimization Methods, Dynamic Behavior Model, Screw Press

Published online 4/19/2023, 8 pages
Copyright © 2023 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: DURAND Camille, SONG Heyu, BIGOT Régis, Parametric identification on a dynamic behavior model for a forging machine, Materials Research Proceedings, Vol. 28, pp 649-656, 2023


The article was published as article 70 of the book Material Forming

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

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