Laboratoire de Conception Fabrication Commande (LCFC): Recent submissions
Now showing items 1-7 of 272
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Article dans une revue avec comité de lecture(Springer, 2024-11)The design and use of assembly systems for more than one dedicated product becomes more important to manufacturing industries as product variety increases and lot sizes decrease. Since their introduction in the late 90’s, ...
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Article dans une revue avec comité de lecture(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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Enhancing Fault Diagnosis in Process Industries with Internal Variables of Model Predictive Control Article dans une revue avec comité de lecture(Elsevier BV, 2024-08)This paper introduces the use of internal variables, estimated through Model Predictive Control (MPC), for fault detection and diagnosis in process industries. To do so, a data-driven methodology is proposed. Three ...
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Communication avec acte(2024-06-11)The rapid and relentless pace of technological advancement over recent years has had a profound impact on the realm of education. This dynamic transformation has paved the way for a host of new possibilities and innovations ...
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Jumeaux numériques : le projet JENII cherche à innover dans la formation aux procédés de fabrication Article dans une revue sans comité de lecture(Fédération Forge Fonderie, 2024-03)Le concept de jumeau numérique offre une multitude d'applications et d'utilisations dans divers domaines. Tout d'abord, il permet de simuler et de tester des scénarios virtuels avant de les implémenter dans le monde réel. ...
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Communication avec acte(Materials Research Forum LLC, 2024-05)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 ...
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Article dans une revue avec comité de lecture(Elsevier BV, 2024-07)We present an adaptive physics-informed deep homogenization neural network (DHN) approach to formulate a full-field micromechanics model for elastic and thermoelastic periodic arrays with different microstructures. The ...