Maxence Bigerelle, Eddy Chevallier, Julie Lemesle, Raphael Deltombe, Frederic Robache, Romain Vayron, Nadiia Zubchuk, Ingrid Proriol Serre, Stephane Benayoun, Karine Anselme

This study presents a robust methodology for analyzing 3D roughness parameters to characterize sandblasted surfaces, identifying the most relevant descriptors for process optimization. Sandblasting with irregularly shaped corundum particles is performed using five grit sizes (25, 50, 90, 125, and…

Machines, 2025, Machines, 13 (12), pp.1122. ⟨10.3390/machines13121122⟩. ⟨hal-05406231⟩

Thèse

Vers une intralogistique durable : conception d’un jumeau numérique enrichi par l’intelligence artificielle, Toward Sustainable Intralogistics : Designing an Artificial Intelligence Enhanced Digital Twin

Adnane Drissi Elbouzidi

Cette thèse s’inscrit dans le champ du génie industriel et propose une approche innovante pour optimiser la gestion des entrepôts à opérations manuelles, en intégrant les jumeaux numériques enrichis par l’intelligence artificielle, tout en tenant compte des enjeux de durabilité. Face à la…, This thesis, situated within the field of industrial engineering, presents an innovative methodology for optimizing the management of warehouses characterized by manual operations through the integration of AI-enhanced digital twins, with an emphasis on sustainability imperatives. Addressing the…

Intelligence artificielle [cs.AI]. École Nationale Supérieure des Arts et Métiers, 2025. Français. ⟨NNT : 2025ENAME094⟩. ⟨tel-05584783⟩

Pré-publication, Document de travail

Covariance Control for a class of Stochastic Discrete-time Linear Systems using the S-Variable Approach

Kaouther Moussa, Dimitri Peaucelle

This paper deals with the problem of covariance control for a class of linear stochastic discrete-time systems in the Stochastic Model Predictive Control (SMPC) framework. The considered systems are affected by independent and identically distributed (i.i.d.) additive and parametric stochastic…

2025. ⟨hal-05395012⟩

Thèse

Surface Topography and Multi-Scale Complexity : A Study from Materials to Works of Art, Topographie de surfaces et complexité multiéchelle : Une étude des matériaux aux oeuvres d'art.

François Berkmans

This doctoral dissertation introduces an alternative methodological paradigm within the domain of surface metrology, challenging the dominant dual-axis framework which primarily focuses on either the impact of surface modification processes or the optimization of specific surface functionalities.…, Cette thèse de doctorat propose un changement de paradigme méthodologique dans le domaine de la métrologie des surfaces, en remettant en question le cadre binaire dominant qui se concentre principalement sur l’influence des procédés de modification des surfaces ou sur l’optimisation de certaines…, Niniejsza rozprawa doktorska wprowadza alternatywny paradygmat metodologiczny w obszarze metrologii powierzchni, podważ ając dominującą, dwutorową ramę analityczną, koncentrującą się głównie albo na wpływie procesów modyfikacji powierzchni, albo na optymalizacji okreś lonych funkcjonalnoś ci…

Solid mechanics [physics.class-ph]. Université Polytechnique Hauts-de-France; Poznan University of Technology (Poznań, Pologne), 2025. English. ⟨NNT : 2025UPHF0042⟩. ⟨tel-05545661⟩

Article dans une revue

Biomechanical finite element simulation of the pelvic organs under dynamic loading and validation against experimental data from magnetic resonance imaging

Camille Lafond, Louise Hohnadel, Thomas Brunel, Nicolas Pirrò, Marc-Emmanuel Bellemare, Dominique Chamoret, Sébastien Roth

Pelvic organ prolapse (POP) is a prevalent condition affecting women, particularly those over the age of 50. The etiology and pathophysiology of this condition remain poorly understood within the medical community. In recent years, researchers, particularly medical engineers and biomechanical…

Medical Engineering & Physics, 2025, 146, pp.104433. ⟨10.1016/j.medengphy.2025.104433⟩. ⟨hal-05362410⟩

Article dans une revue

Machine learning and deep learning applications in the automotive manufacturing industry: A systematic literature review and industry insights

Soufiane Douimia, Abdelghani Bekrar, Abdessamad Ait El Cadi, Yassin El Hillali, David Fillon

In the context of the automotive manufacturing industry, complexity and the extensive data generated during production pose significant challenges. With ongoing technological advancements, effectively harnessing and analyzing this data has become increasingly critical. Machine learning (ML) and…

Robotics and Computer-Integrated Manufacturing, 2025, 96, pp.103034. ⟨10.1016/j.rcim.2025.103034⟩. ⟨hal-05101225⟩