Laboratoire Procédés et Ingénierie en Mécanique et Matériaux (PIMM)
Le laboratoire Procédés et Ingénierie en Mécanique et Matériaux (PIMM) rassemble une vaste gamme de spécialistes allant de la mécanique des matériaux et des structures à la chimie des polymères, des procédés de mise en forme et d’assemblage aux méthodes avancées de la simulation numérique. Les recherches sur les procédés laser et les procédés de mise en forme des polymères s’appuient sur un vaste ensemble de moyens expérimentaux.
Les travaux s’attachent en particulier aux conséquences des procédés sur les propriétés d’emploi, via les défauts et les modifications de microstructures engendrées. Les activités développées en dynamique des structures et en commande et surveillance des systèmes, au-delà de leur justification propre, permettent d’apporter de nombreuses contributions à la compréhension et à la simulation des procédés. Nous pouvons ajouter que le laboratoire possède une compétence bien établie dans le domaine de la durabilité des matériaux, notamment pour les matériaux plastiques. Enfin, depuis très récemment, nous développons des méthodes de Data Driven pour enrichir nos analyses et nos modèles dans nos diverses activités de recherche.
The Process and Engineering in Mechanics and Materials laboratory (PIMM) brings together a wide range of specialists from the mechanics of materials and structures to the polymer chemistry and from forming and assembling processes, to advanced methods for numerical simulation. Research on laser processes and procedures forming polymers are based on an extensive set of experimental means.
In particular, we deal with the consequences of the processes on the service properties via the induced defects and microstructural modifications. The activities in structural dynamics, system and vibration control, beyond their own justification, can make significant contributions to understand and simulate processes. We can add that the laboratory has a well-established expertise in the field of aging of polymer structures in service conditions. At last, we developed Data Driven approaches to improve the analyses and our modeling of our various scientific fields.
Voir le site du laboratoire PIMM :
http://pimm.ensam.eu
Recent Submissions
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(Elsevier, 2021)Processes using laser-shock applications, such as Laser Shock Peening or Laser Stripping require a deep understanding of both mechanical and thermal loading applied. We hereby present new experimental measurements of the ...
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(Springer, 2020)Introduction: Holmium:yttrium–aluminium–garnet (Ho:YAG) is currently the gold standard for lithotripsy for the treatment of all known urinary stone types. Stone composition and volume are major determinants of the lithotripsy. ...
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(2020)Numerical simulations of Structural Health Monitoring processes based on wave propagation can be very costly in terms of computation time, especially for complex aeronautic composite structures, and therefore strongly ...
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(Elsevier, 2021)Structural Health Monitoring (SHM), i.e. the action of monitoring structures in real-time and in an automated manner, is a major challenge in several industrial fields such as aeronautic. SHM is by nature a very high ...
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(Elsevier, 2020)We present a method for the data-driven learning of physical phenomena whose evolution in time depends on history terms. It is well known that a Mori-Zwanzig-type projection produces a description of the physical phenomena ...
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(Elsevier, 2020)We develop a method to learn physical systems from data that employs feedforward neural networks and whose predictions comply with the first and second principles of thermodynamics. The method employs a minimum amount of ...
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(IEEE, 2019)This paper describes an original methodology to operate a new nonlinear vibrating membrane pump, actuated by a moving magnet actuator without the use of a motion sensor, in the scope of cardiac assistance. A nonlinear ...
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