Modélisation multi-échelle du comportement thermomécanique des alliages à mémoire de forme

Multi-scale Modeling of the Thermomechanical Behaviour of Shape Memory Alloys

• Auteur / Autrice : Kehinde Ajayi
• Direction : Adil Benaarbia, Charlotte Becquart, Ludovic Thuinet
• Type : Projet de thèse
• Discipline(s) : Mécanique des solides, des matériaux, des structures et des surfaces
• Date : Inscription en doctorat le 01/02/2024
• Etablissement(s) : Centrale Lille Institut
• Ecole(s) doctorale(s) : École doctorale Sciences de la matière, du rayonnement et de l'environnement
• Partenaire(s) de recherche : Laboratoire : Unité Matériaux et Transformations (Lille ; 2010-....)
• Partenaire(s) de recherche : Equipe de recherche : Métallurgie Physique et Génie des Matériaux

Mots clés

Mots clés libres

Modélisation multi-échelle

Alliages à mémoire de forme

Champs de phase

Comportement thermomécanique

Approche thermodynamique

Simulations numériques

Multi-scale Modeling

Shape Memory Alloys

Phase field

Thermomechanical Behaviours

Thermodyanmic approach

Numerical simulations

Résumé

Shape memory alloys (SMAs) are used in the oil and gas sector to manufacture high-strength components used in the manufacture of drilling machinery or for the transportation of oil and gas. These alloys are part of a group of materials that are called active or smart materials. They are special because they have certain characteristics that allow them to act as a sensor, as an actuator or even sometimes as a processor. They have the ability to naturally modify their physical properties when subjected to stimulation (temperature, electric current or magnetic field). They can be a cost-effective replacement for conventional actuator systems with a view to reducing space requirements. Due to corrosion, high temperature and high pressure, some AMF-based petroleum components suffer structural damage and other types of damage that threaten the entire plant. To increase the safety and efficiency of such components, it is necessary to have modeling tools to size future applications using these alloys, and to investigate the influence of microstructural parameters on their behavior. This thesis project is part of a global approach to the study of shape memory alloys. It aims to model the behavior of these alloys under extreme temperature and pressure conditions. The objective is to obtain a law allowing a good description of all the typical behaviors of MFAs (superelasticity, memory effect, assisted two-way memory effect, martensite reorientation, etc.) while remaining adapted to finite element calculation.

Shape memory alloys (SMAs) are used in the oil and gas industry to manufacture high-strength components used in the manufacture of drilling machinery or for the transportation of oil and gas. These alloys belong to a group of materials known as smart materials. They are special in that they possess certain characteristics that enable them to act as sensors, actuators or even processors. They have the ability to naturally modify their physical properties when subjected to stimulation (temperature, electric current or magnetic field). This makes them an ideal replacement for conventional actuator systems, with a view to reducing space requirements. Due to corrosion, high temperature and high pressure, some AMF-based petroleum components suffer structural and other types of damage that threaten entire installations. To increase the safety and efficiency of such components, modeling tools are needed to design future applications using these alloys, and to investigate the influence of microstructural parameters on their behavior. This PhD project is part of a global approach to the study of shape memory alloys. It aims to model the behavior of these alloys under extreme temperature and pressure conditions. The aim is to obtain a law that provides a good description of all typical AMF behaviors (superelasticity, memory effect, assisted two-way memory effect, martensite reorientation, etc.), while remaining suitable for finite element calculations.