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2024 | OriginalPaper | Chapter

New Discoveries in Cold Rolling: Understanding Stress Distribution and Parameter Dependence for Faster, More Accurate Models

Authors : Francis Flanagan, Doireann O’Kiely, Alison O’Connor, Mozhdeh Erfanian, Edward James Brambley

Published in: Proceedings of the 14th International Conference on the Technology of Plasticity - Current Trends in the Technology of Plasticity

Publisher: Springer Nature Switzerland

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Abstract

The finite element (FE) method is a powerful tool for simulating industrial metal forming processes such as metal rolling. FE allows users to estimate the stress distribution in the metal sheet during the rolling process. However, FE simulations do not allow for real-time online process control due to model complexity and computational time. This paper forms part of a large-scale research project aimed at designing a simple-but-accurate mathematical model that provides sufficiently precise results (compared to FE simulations) with faster computational timescales allowing for real-time process control. To validate the asympotics-based mathematical model, an accurate FE model is required. In this paper, we give a detailed description of a quasi-static Abaqus/Explicit FE model and show how this is optimised to represent the rolling process. We report new insights gained from the FE simulations which can guide the development of simpler, faster mathematical models.

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Title: New Discoveries in Cold Rolling: Understanding Stress Distribution and Parameter Dependence for Faster, More Accurate Models
Authors: Francis Flanagan
Doireann O’Kiely
Alison O’Connor
Mozhdeh Erfanian
Edward James Brambley
Publisher: Springer Nature Switzerland
Book: Proceedings of the 14th International Conference on the Technology of Plasticity - Current Trends in the Technology of Plasticity
Print ISBN: 978-3-031-41022-2

Electronic ISBN: 978-3-031-41023-9

Copyright Year: 2024
DOI: https://doi.org/10.1007/978-3-031-41023-9_22