Predictive control for a single-blow cold upsetting using surrogate modeling for a digital twin
Article dans une revue avec comité de lecture
Auteur
Date
2023-12Journal
International Journal of Material FormingRésumé
In the realm of forging processes, the challenge of real-time process control amid inherent variabilities is prominent. To tackle
this challenge, this article introduces a Proper Orthogonal Decomposition (POD)-based surrogate model for a one-blow cold
upsetting process in copper billets. This model effectively addresses the issue by accurately forecasting energy setpoints,
billet geometry changes, and deformation fields following a single forging operation. It utilizes Bézier curves to parametrically
capture billet geometries and employs POD for concise deformation field representation. With a substantial database
of 36,000 entries from 60 predictive numerical simulations using FORGE® software, the surrogate model is trained using
a multilayer perceptron artificial neural network (MLP ANN) featuring 300 neurons across 3 hidden layers using the Keras
API within the TensorFlow framework in Python. Model validation against experimental and numerical data underscores
its precision in predicting energy setpoints, geometry changes, and deformation fields. This advancement holds the potential
for enhancing real-time process control and optimization, facilitating the development of a digital twin for the process.
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Communication avec acteURIBE, David; DURAND, Camille; BAUDOUIN, Cyrille; KRUMPIPE, Pierre; BIGOT, Regis (Springer Nature Switzerland, 2023-08)Forging processes are defined by variables related to the workpiece, the tools, the machine, and the process itself, and these variables are called process variables. They have a direct impact on the quality of the finished ...
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Article dans une revue avec comité de lectureURIBE, David; DURAND, Camille; BAUDOUIN, Cyrille; BIGOT, Regis (Springer Science and Business Media LLC, 2024-10)Numerical simulations are crucial for predicting outcomes in forging processes but often neglect dynamic interactions within forming tools and presses. This study proposes an approach for achieving accurate real-time ...
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