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Conference Papers Year : 2024

Enhancing metal-forming predictions with VR-infused digital twin models

Abstract

This article presents a two-step method to enhance metal-forming predictions by integrating Virtual Reality (VR) into Digital Twin models, focusing on single-blow cold copper upsetting operations. The process begins with developing a real-time predictive surrogate model that considers actual process parameters, acting as a crucial link between conventional numerical simulations and immediate decision-making. Subsequently, the surrogate model is integrated into a realistic VR environment, aligned with the experimental forging setup. The study underscores the need and potential advantages of real-time digital twins in the forging field, emphasizing the bridging capability between numerical simulations and instant decision-making through predictive modeling and immersive virtual environments.
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hal-04575556 , version 1 (15-05-2024)

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David Uribe, Cyrille Baudouin, Yoan Locard, Camille Jeanne Margot Durand, Régis Bigot. Enhancing metal-forming predictions with VR-infused digital twin models. ESAFORM 2024 (27th International ESAFORM Conference on Material Forming), Apr 2024, Toulouse, France. pp.2309-2319, ⟨10.21741/9781644903131-254⟩. ⟨hal-04575556⟩
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