Mécanique des Matériaux, des Structures et du Vivant ; Ingénierie des Microstructures, Procédés, Anisotropie, Comportement ; Thermomécanique des Procédés et des Interactions Outil-Matière

Voir le site du laboratoire LEM3 :
http://www.lem3.univ-lorraine.fr

Soumissions récentes

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  Grain size impact on sheet metal behavior via CPFEM 

  Article dans une revue avec comité de lecture

  ZHOU, Shijie; BEN BETTAIEB, Mohamed; ABED-MERAIM, Farid (Elsevier BV, 2025-12)

  A novel multiscale computational framework based on Crystal Plasticity Finite Element (CPFE) modeling is proposed to investigate the effect of grain size on the mechanical behavior and ductility limits of thin metal sheets, ...
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  Design of Multiphase Compositionally Complex Alloys for Enhanced Hardness at Elevated Temperatures and Machinability: Comparative Study with Inconel 718 

  Article dans une revue avec comité de lecture

  PELTIER, Laurent; LE COZ, Gael; MERAGHNI, Fodil; SLOWENSKY, Jérôme (Wiley, 2025-09)

  Inconel 718 alloy is used for high‐temperature industrial applications in its optimized multiphase metallurgical state. Nevertheless, the machining of Inconel 718 alloy becomes problematic and challenging. One alternative ...
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  Detection of Low-Velocity Impact Damage in Woven-Fabric Reinforced Thermoplastic Composite Laminates by Deep-Learning Classification Trained on Terahertz-Imaging Data 

  Communication avec acte

  SILITONGA, Dicky J.; POMAREDE, Pascal; BAWANA, Niyem M.; SHI, Haolian; DECLERCQ, Nico F.; CITRIN, D.S.; MERAGHNI, Fodil; LOCQUET, Alexandre (Association Française de Mécanique (AFM), 2025-08)

  Terahertz (THz) imaging is gaining attention as a nondestructive testing technique for assessing damage due to its high axial resolution and nonionizing nature, presenting a promising alternative to conventional methods ...
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  Automated classification of subsurface impact damage in thermoplastic composites using depth-resolved terahertz imaging and deep learning 

  Article dans une revue avec comité de lecture

  SILITONGA, Dicky J.; POMARÈDE, Pascal; BAWANA, Niyem M.; SHI, Haolian; DECLERCQ, Nico F.; CITRIN, D. S.; MERAGHNI, Fodil; LOCQUET, Alexandre (Elsevier, 2026-01)

  Reliable detection of barely visible impact damage is critical to ensure the structural integrity of composite components in service, particularly in safety-critical applications such as pressure vessels and transportation ...
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  AI-driven advances in composite materials for hydrogen storage vessels: A review 

  Article dans une revue avec comité de lecture

  AMINHARATI, Pedram; SHIRINBAYAN, Mohammadali; BENFRIHA, Khaled; MERAGHNI, Fodil; FITOUSSI, Joseph (Elsevier BV, 2025-09)

  This review provides a comprehensive examination of artificial intelligence methods applied to the design, optimization, and performance prediction of composite-based hydrogen storage vessels, with a focus on composite ...
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  Hybrid homogenization neural networks for periodic composites 

  Article dans une revue avec comité de lecture

  CHEN, Qiang; ZHAO, Wenhui; XIAO, Ce; YANG, Zhibo; CHATZIGEORGIOU, George; MERAGHNI, Fodil; CHEN, Xuefeng (Elsevier BV, 2025-11)

  A new physics-informed deep homogenization neural network (DHN) framework is proposed to identify the homogenized and local behaviors in periodic heterogeneous microstructures. To achieve this, the displacement field is ...
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  Contributions à la prédiction d’instabilités de type structure et matériau : modélisation de critères et formulation d’éléments finis adaptés à la simulation des structures minces 

  Rapport de recherche

  ABED-MERAIM, Farid (2009)

  Les travaux de recherche présentés dans cette HDR sont répartis en trois thématiques complémentaires. La première concerne la modélisation des instabilités locales dans les matériaux métalliques (localisation, striction ...

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