Recherche

Consulter le flux RSS

Publications

Liste des publications du LMPS

Affichage des publications 31 à 40 sur 1633 au total

Engineering Sciences

Breaking better: How defects activate multiple toughening mechanisms in lattice materials

Toughening in heterogeneous lattice materials is commonly attributed to crack path tortuosity, but the relative importance of this and other mechanisms remains unclear because direct experimental evidence is scarce. Here, we introduce isolated, well…

Alessandra Lingua, Antoine Sanner, François Hild, David Kammer

Theoretical and Applied Fracture Mechanics -

Mechanics

Analytical reliability performance maps for bond wire interfaces in power modules under cyclic thermomechanical loads

Reliability of power modules based on Insulated Gate Bipolar Transistors (IGBTs) is majorly challenged by thermomechanical fatigue, especially at the wirebond-chip interface where lift-off failure mechanisms commonly occur. This paper introduces a…

Clément Chedozeau, Merouane Ouhab, Natasha Vermaak, Nicolas Degrenne, François Hild

Microelectronics Reliability -

Engineering Sciences

On the evaluation of in-situ mechanical properties of an additively manufactured BCC lattice

Additive manufacturing enables for fabrication of complex lattice materials with superior strength-to-weight ratios. These lattice structures are made from small struts that are difficult to test individually and whose responses may be size…

Malo Valmalle, Benjamin Smaniotto, Junhe Lian, Luc St-Pierre, François Hild

Mechanics of Materials -

Engineering Sciences

Experimental and numerical analysis of high-pressure CO2 injection flow inside a homogeneous porous microchip model

Supercritical carbon dioxide (sCO2) possesses unique physical properties in the critical region—characterized by high density, low viscosity, and strong solvation capacity—exhibiting critical flow and heat transfer behaviors in porous media that are…

Lin Chen, Jiaxin Liu, Mengshuai Chen, Xuefen Yan, Atsuki Komiya, Rachid Bennacer

International Journal of Heat and Fluid Flow -

Mechanics

Neural Architecture Search with Bayesian Optimization: Designing LSTM Networks to Predict Damage Evolution in Composite Laminates

This work takes a step toward Automated Machine Learning (AutoML) by moving beyond the traditional black-box approach often seen in engineering applications of neural networks. The primary objective is to advance the understanding of Neural…

Orestis Friderikos, Arturo Mendoza, Emmanuel Baranger, John Mirisidis, Dimitrios Sagris, Constantine David, Zvonimir Tomičević