Publications

Artificial Intelligence

Fault diagnosis through system-level condition-monitoring and digital-twin-supported deep learning

Diagnosing component-level faults in complex systems is a challenging task, particularly when only systemlevel condition-monitoring data are available due to difficulties in deploying sensors at the component level.To address this issue, we propose…

Shijia Du, Zhiguo Zeng, Nabil Anwer, Anne Barros

Automatic

Lancement du Challenge annuel Jumeau Numérique

The Digital Twin Challenge is a French national scientific initiative launched by the Industrial Engineering academic community, run in partnership with five organizations: SAGIP (via its CT JNUM technical committee), GIS S.mart, AFIS, the EDT…

Nabil Anwer, Cédrick Béler, Sébastien Henry, Mamadou Kaba Traoré

4ème Congrès Annuel de la SAGIP - 2026

Mechanical engineering

Modeling wire fusion to optimize bead production in DED-LHW additive manufacturing

Mastering material deposition in DED-LHW additive manufacturing and determining process parameters relies mainly on costly experimental campaigns. Numerous tests are required to identify the parameters (laser power, intensity, wire speed, and feed…

Clément Roch, Barkin Aydin, Sylvain Lavernhe, Christophe Tournier

14th CIRP Conference on Photonic Technologies - 2026

Mechanical engineering

Modélisation de la fusion du fil pour optimiser la production de cordons en fabrication additive DED-LHW

La maîtrise du dépôt de matière en fabrication additive DED-LWH et la détermination des paramètres du procédé reposent principalement sur des campagnes expérimentales coûteuses. De très nombreux essais sont nécessaires pour identifier les paramètres…

Clément Roch, Barkin Aydin, Sylvain Lavernhe, Christophe Tournier

Conférence Manufacturing'21 - 2026

Mechanical engineering

Energy modeling and process mapping for defect-free hot-wire laser deposition of Inconel 718 single beads

Hot-wire laser additive manufacturing (DED-LHW) addresses key limitations of conventional cold-wire processes, where excessive laser energy overheats the melt pool and promotes columnar grain growth, degrading microstructural properties. In addition…

Barkin Aydin, Christophe Tournier

Additive Manufacturing Letters - 2026

Engineering Sciences

Identifying and characterising uncertainty in digital twin engineering

Digital twin technologies are increasingly deployed in complex industrial systemswhere uncertainty management is critical to ensure their reliability, robustness, andresilience. However, there is currently limited literature on the management of…

Bouthayna El Bouzaidi Tiali, Stephen Creff, Achraf Kallel, Nabil Anwer

Digital Twin - 2026

Engineering Sciences

Modeling the 5D Digital Twin Model through Ontological Formalization

This study formalizes the fundamental concepts and interactions of the entities composing the five-dimensional (5D) Digital Twin (DT) conceptual model, which serves as the foundation of our research, through rigorous ontological structuring. This…

Bouthayna El Bouzaidi Tiali, Stephen Creff, Achraf Kallel, Nabil Anwer

The 6th international digital twin conference - 2026

Physics

Uncertainty analysis in digital twins and integration of aleatory uncertainties for virtual entity models

Bouthayna El Bouzaidi Tiali, Stephen Creff, Achraf Kallel, Nabil Anwer

4ème congrès annuel de la SAGIP - 2026

Robotics

EMG-based Torque Prediction for Assistive Exoskeleton Control using Neural Networks with Bounded Generalization Error

Electromyography (EMG) signals are widely used in assistive exoskeleton control for predicting human joint torque due to their ability to extract muscle activations before movement onset. The standard procedure for learning the EMG-to-torque model…

Duy Hoang, Lucas Quesada, Bastien Berret, Olivier Bruneau, Laurent Fribourg

Thermics

Continuous microstructure variations with graded properties in directed energy deposition

Directed energy deposition additive manufacturing is a versatile technique for fabricating complex geometries, where precise control of process parameters is crucial for tailoring microstructure and part properties. Microstructure control strategies…

Michèle Bréhier, Daniel Weisz-Patrault, Christophe Tournier

Additive Manufacturing Letters - 2026