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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  Thermal stabilization of polyamide 11 by phenolic antioxidants 

  OKAMBA-DIOGO, Octavie; FERNAGUT, François; GUILMENT, Jean; PERY, Frederique; FAYOLLE, Bruno; RICHAUD, Emmanuel (ELSEVIER, 2020)

  This paper addresses the effect of hindered phenols (mainly Irganox 1098 with a few comparisons with other phenolic antioxidants) on the stabilization of polyamide 11 aged at several temperatures (90–165 °C). The effect ...
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  Investigation of magnetic composites using as photocatalyst and antibacterial application 

  RIZI, Hassan Beigi; GHEISARI‬, Khalil; MOTAMEDI, Hossein; PEREIRA, Michaël; SHIRINBAYAN, Mohammadali (ELSEVIER, 2020)

  This study shows the inactivation of antibacterial and dye removal in aqueous solution via photocatalysis with an easy fabrication route of silver deposited titanium dioxide/cobalt ferrite composite nanoparticles through ...
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  Micromechanical Modelling of Dynamic Behavior of Advanced Sheet Molding Compound (A-SMC) Composite 

  AYARI, H.; SHIRINBAYAN, M.; IMADDAHEN, A.; TAMBOURA, S.; BEN DALY, H.; TCHARKHTCHI, A.; FITOUSSI, J. (Springer, 2020)

  Passive safety, particularly in the transport industry, requires maximizing the dissipation of energy and minimizing the decelerations undergone by a vehicle following a violent impact (crash). This paper proposes a strategy ...
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  Physically sound, self-learning digital twins for sloshing fluids 

  MOYA, Beatriz; ALFARO, Iciar; GONZALEZ, David; CHINESTA, Francisco; CUETO, Elías (Public Library of Science, 2020)

  In this paper, a novel self-learning digital twin strategy is developed for fluid sloshing phenomena. This class of problems is of utmost importance for robotic manipulation of fluids, for instance, or, in general, in ...
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  Microstructure dependent fatigue life prediction for short fibers reinforced composites: Application to sheet molding compounds 

  LARIBI, M.A.; TAMBOURA, S.; FITOUSSI, J.; SHIRINBAYAN, M.; BI, R.Tie; TCHARKHTCHI, A.; DALI, H. Ben (ELSEVIER, 2020)

  Because of the high variability of SMC microstructure due to material flow during thermoforming, fatigue life prediction in real automotive structure represents a huge challenge. In this paper, we present a two-step ...
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  Nonlinear Regression Operating on Microstructures Described from Topological Data Analysis for the Real-Time Prediction of Effective Properties 

  YUN, Minyoung; ARGERICH, Clara; CUETO, Elias; DUVAL, Jean Louis; CHINESTA, Francisco (MDPI, 2020)

  Real-time decision making needs evaluating quantities of interest (QoI) in almost real time. When these QoI are related to models based on physics, the use of Model Order Reduction techniques allows speeding-up calculations, ...
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  Damage and fatigue life prediction of short fiber reinforced composites submitted to variable temperature loading: Application to Sheet Molding Compound composites 

  TAMBOURA, S.; LARIBI, M.A.; FITOUSSI, J.; SHIRINBAYAN, M.; BI, R. Tie; TCHARKHTCHI, A.; DALI, H. Ben (Elsevier, 2020)

  The majority of fatigue life prediction models which have been proposed for the Short Fiber Reinforced Composite (SFRC) materials have been developed for constant temperature. However, in real situations, SFRC structures ...

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