Surrogate model to describe temperature field in real-time for hot forging

Surrogate model to describe temperature field in real-time for hot forging

MIDAOUI Aya, BAUDOUIN Cyrille, DANGLADE Florence, BIGOT Régis

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Abstract. In the context of certain metallic alloys, the conformity of the product depends on its metallurgical structure. Addressing this, the implementation of a real-time monitoring system to control the evolution of the metallurgical structure and the geometry of the cogging part is proposed. Focusing on the microstructure’s dependence on temperature, this article outlines the requested steps for developing data-driven reduced models for describing the temperature field in the billet. These models use temperature data collected from predictive numerical simulations conducted using FORGE® software. Applying the Proper Orthogonal Decomposition (POD) technique, the images illustrating the temperature field are reconstructed through a 2D matrix-based framework. This matrix, derived from non-discretized elements issued from FORGE®, underwent discretization through an objective method, resulting in a size of 100*100. The utilization of the POD technique in this approach provides a parametric vector description, facilitating rapid image reconstruction through manipulation of vector system parameters. With just two vectors, we can effectively reconstruct the image representing the temperature field.

Keywords
Hot Forging, Proper Orthogonal Decomposition, Numerical Simulations, Surrogate Model, Real-Time Monitoring System

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: MIDAOUI Aya, BAUDOUIN Cyrille, DANGLADE Florence, BIGOT Régis, Surrogate model to describe temperature field in real-time for hot forging, Materials Research Proceedings, Vol. 41, pp 871-880, 2024

DOI: https://doi.org/10.21741/9781644903131-95

The article was published as article 95 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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