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Ai for Abnormal and Critical Grain Growth Phenomena
Il y a 4 mois
**AI for abnormal and critical grain growth phenomena discremination and avoidance - Application to Nickel base superalloys**:
- Réf
- **ABG-115082**
- Sujet de Thèse- 07/06/2023- Financement public/privé- Centre de Mise en Forme des Matériaux (CEMEF)- Lieu de travail- Sophia Antipolis - Provence-Alpes-Côte d'Azur - France- Intitulé du sujet- AI for abnormal and critical grain growth phenomena discremination and avoidance - Application to Nickel base superalloys- Champs scientifiques- Numérique
- Mathématiques
- Mots clés- Digital twins, IA, Computational Metallurgy, Grain growth, Deep learning strategy**Description du sujet**:
One of the European Union’s objectives in climate change consists of reaching net-zero greenhouse gas emissions by 2050. Such perspective puts the metallic materials industry, as a large contributor to carbon emissions, under tremendous pressure for change and requires the existence of robust computational materials strategies to enhance and design, with a very high confidence degree, new metallic materials technologies with a limited environmental impact.
From a more general perspective, the in-use properties and durability of metallic materials are strongly related to their microstructures, which are themselves inherited from the thermomechanical treatments. Hence, understanding and predicting microstructure evolutions are nowadays a key to the competitiveness of industrial companies, with direct economic and societal benefits in all major economic sectors (aerospace, nuclear, renewable energy, naval, defence, and automotive industry).
**Prise de fonction**:
- 02/10/2023**Nature du financement**:
- Financement public/privé**Précisions sur le financement**:
**Présentation établissement et labo d'accueil**:
- Centre de Mise en Forme des Matériaux (CEMEF)Leader mondial dans le domaine des matériaux, des procédés et de leur modélisation, le CEMEF réalise une recherche partenariale avec l’industrie et forme des experts (doctorats et mastère spécialisé).
Pluridisciplinaire, le CEMEF étudie tous les types de matériaux (métaux et alliages métalliques, polymères synthétiques et issus de la biomasse, composites, béton...) et de procédés industriels en s’intéressant aux différentes étapes de la vie du matériau:
élaboration -> mise en forme -> traitements thermiques -> assemblage -> propriétés d’usage -> recyclage
Elément majeur d’innovation, sa compréhension du comportement des matériaux aux différentes échelles, de l’interaction outil-matière, de l’impact des procédés sur les propriétés finales permet l’optimisation et le développement de procédés de fabrication de plus en plus complexes et contraints (technologie, énergie, environnement ).
Il s’appuie sur des approches couplant techniques expérimentales et modélisations numériques
C’est un centre de recherche de MINES Paris PSL, associé au CNRS.
Spécialisations : polymères, bioplastiques, composites, métaux, alliages métalliques, transformation des matériaux, physique, mécanique, thermique, propriétés d’emploi, tenue en service, modélisation numérique, développement logiciel, calcul intensif, surfaces.
**Site web**:
**Intitulé du doctorat**:
- Doctorat en Mécanique Numérique et Matériaux**Pays d'obtention du doctorat**:
- France**Etablissement délivrant le doctorat**:
- Doctorat de l’Université de Recherche Paris Sciences & Lettres - PSL Research University**Ecole doctorale**:
- Sciences fondamentales et appliquées- Degree: MSc or MTech in Applied Mathematics, with excellent academic record.
- Skills: Numerical Modeling, programming, proficiency in English,
- ability to work within a multi-disciplinary team.
**Contacts**:
**Annual gross salary: about 27.7k€**- 31/08/2023
