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

Francis Flanagan; Doireann O’Kiely; Alison O’Connor; Mozhdeh Erfanian; Edward James Brambley

doi:10.1007/978-3-031-41023-9_22

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

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

University of Warwick

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Proceedings of the 14th International Conference on the Technology of Plasticity - Current Trends in the Technology of Plasticity - ICTP 2023 - Volume 1
Editors	Katia Mocellin, Pierre-Olivier Bouchard, Régis Bigot, Tudor Balan
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	211-222
Number of pages	12
ISBN (Print)	9783031410222
DOIs	https://doi.org/10.1007/978-3-031-41023-9_22
Publication status	Published - 2024
Event	14th International Conference on Technology of Plasticity, ICTP 2023 - Mandelieu-La Napoule, France Duration: 24 Sep 2023 → 29 Sep 2023

Publication series

Name	Lecture Notes in Mechanical Engineering
ISSN (Print)	2195-4356
ISSN (Electronic)	2195-4364

Conference

Conference	14th International Conference on Technology of Plasticity, ICTP 2023
Country/Territory	France
City	Mandelieu-La Napoule
Period	24/09/23 → 29/09/23

Keywords

FE
elasticity
plasticity

Access to Document

10.1007/978-3-031-41023-9_22

Cite this

Flanagan, F., O’Kiely, D., O’Connor, A., Erfanian, M., & Brambley, E. J. (2024). New Discoveries in Cold Rolling: Understanding Stress Distribution and Parameter Dependence for Faster, More Accurate Models. In K. Mocellin, P.-O. Bouchard, R. Bigot, & T. Balan (Eds.), Proceedings of the 14th International Conference on the Technology of Plasticity - Current Trends in the Technology of Plasticity - ICTP 2023 - Volume 1 (pp. 211-222). (Lecture Notes in Mechanical Engineering). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-41023-9_22

Flanagan, Francis ; O’Kiely, Doireann ; O’Connor, Alison et al. / New Discoveries in Cold Rolling : Understanding Stress Distribution and Parameter Dependence for Faster, More Accurate Models. Proceedings of the 14th International Conference on the Technology of Plasticity - Current Trends in the Technology of Plasticity - ICTP 2023 - Volume 1. editor / Katia Mocellin ; Pierre-Olivier Bouchard ; Régis Bigot ; Tudor Balan. Springer Science and Business Media Deutschland GmbH, 2024. pp. 211-222 (Lecture Notes in Mechanical Engineering).

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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.",

keywords = "FE, elasticity, plasticity",

author = "Francis Flanagan and Doireann O{\textquoteright}Kiely and Alison O{\textquoteright}Connor and Mozhdeh Erfanian and Brambley, {Edward James}",

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doi = "10.1007/978-3-031-41023-9_22",

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Flanagan, F, O’Kiely, D , O’Connor, A, Erfanian, M & Brambley, EJ 2024, New Discoveries in Cold Rolling: Understanding Stress Distribution and Parameter Dependence for Faster, More Accurate Models. in K Mocellin, P-O Bouchard, R Bigot & T Balan (eds), Proceedings of the 14th International Conference on the Technology of Plasticity - Current Trends in the Technology of Plasticity - ICTP 2023 - Volume 1. Lecture Notes in Mechanical Engineering, Springer Science and Business Media Deutschland GmbH, pp. 211-222, 14th International Conference on Technology of Plasticity, ICTP 2023, Mandelieu-La Napoule, France, 24/09/23. https://doi.org/10.1007/978-3-031-41023-9_22

New Discoveries in Cold Rolling: Understanding Stress Distribution and Parameter Dependence for Faster, More Accurate Models. / Flanagan, Francis; O’Kiely, Doireann ; O’Connor, Alison et al.
Proceedings of the 14th International Conference on the Technology of Plasticity - Current Trends in the Technology of Plasticity - ICTP 2023 - Volume 1. ed. / Katia Mocellin; Pierre-Olivier Bouchard; Régis Bigot; Tudor Balan. Springer Science and Business Media Deutschland GmbH, 2024. p. 211-222 (Lecture Notes in Mechanical Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Erfanian, Mozhdeh

AU - Brambley, Edward James

PY - 2024

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N2 - 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.

AB - 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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Flanagan F, O’Kiely D , O’Connor A, Erfanian M, Brambley EJ. New Discoveries in Cold Rolling: Understanding Stress Distribution and Parameter Dependence for Faster, More Accurate Models. In Mocellin K, Bouchard PO, Bigot R, Balan T, editors, Proceedings of the 14th International Conference on the Technology of Plasticity - Current Trends in the Technology of Plasticity - ICTP 2023 - Volume 1. Springer Science and Business Media Deutschland GmbH. 2024. p. 211-222. (Lecture Notes in Mechanical Engineering). doi: 10.1007/978-3-031-41023-9_22

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

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