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Novel approach for data-driven modelling of multi-stage straightening and bending processes
PETERS Henning, DJAKOW Eugen, ROSTEK Tim, MAZUR Andreas, TRÄCHTLER Ansgar, HOMBERG Werner, HAMMER Barbara
download PDFAbstract. In multi-stage bending and straightening operations cross-stage and quantity-dependent effects crucially affect the quality of the end product. Using punch-bending units in combination with a mechatronic straightening device can improve the accuracy and repeatability of product features remarkably well. In this work a concept for an innovative hybrid model of a roll straightener in a multi-stage straightening and multi-stage bending process is proposed. This model combines data-driven elements with expert knowledge and aims to minimise residual errors of the roll straightener to reliably decrease the risk of disadvantageous cross-stage and quantity-dependent effects on a subsequent punch-bending process.
Keywords
Straightening Machine, Punch-Bending Process, Hybrid Modelling
Published online 4/24/2024, 10 pages
Copyright © 2024 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: PETERS Henning, DJAKOW Eugen, ROSTEK Tim, MAZUR Andreas, TRÄCHTLER Ansgar, HOMBERG Werner, HAMMER Barbara, Novel approach for data-driven modelling of multi-stage straightening and bending processes, Materials Research Proceedings, Vol. 41, pp 2289-2298, 2024
DOI: https://doi.org/10.21741/9781644903131-252
The article was published as article 252 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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