Laboratoire de Conception Fabrication Commande (LCFC): Recent submissions
Now showing items 1-7 of 275
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Article dans une revue avec comité de lecture;
ZOUHRI, Wahb; ; DANTAN, Jean-Yves (Springer, 2024-09)
The industry sector has long been seeking methods to enhance its manufacturing system control, production, and monitoring, while maintaining the quality of its products and reducing costs and time. One method for achieving ... -
Article dans une revue avec comité de lecture; ; ;PETRONIJEVIC, Jelena (Springer Science and Business Media LLC, 2024-10)
Risk management has always been a trend in manufacturing related literature in the era of zero-defect manufacturing (ZDM). However, a gap still exists to present a holistic viewpoint of the integration for a product and ...
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Article dans une revue avec comité de lectureURIBE, David; DURAND, Camille; BAUDOUIN, Cyrille; BIGOT, Regis (Elsevier, 2024-12)
Effective data reduction techniques are crucial for enhancing computational efficiency in complex industrial processes such as forging. In this study, we investigate various discretization and mesh adaptivity strategies ...
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Article dans une revue avec comité de lectureSTIEF, Paul; DANTAN, Jean-Yves; ETIENNE, Alain; SIADAT, Ali (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 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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Enhancing Fault Diagnosis in Process Industries with Internal Variables of Model Predictive Control Article dans une revue avec comité de lectureDIALLO, Abdoul Rahime; ; DANTAN, Jean-Yves; ; (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 acteFLEURY, Sylvain; BAUDOUIN, Cyrille; BONDESAN, Pierre (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 ...
