rates has hindered practical applications.
Recent advances have revealed that transformation-induced plasticity (TRIP) can significantly improve ductility and work-hardening in certain RHEAs, particularly those containing Group IV elements (Ti, Zr, Hf). Understanding and controlling this TRIP effect is crucial to overcome the strength-ductility trade-off enabling next-generation high-temperature structural materials.
Scientific objectives
This internship is part of a broader ANR (French National Research Agency) project “BADTRIP” aimed at understanding the micro-mechanical and microstructural mechanisms governing martensitic transformation in TRIP-type RHEAs at room temperature.
The specific goal of this internship is to develop and validate a 3D phase-field model capable of describing:
- The early stages of martensitic transformation in RHEAs.
- The growth and interaction of martensitic variants within a metastable β matrix.
- The coupling between transformation-induced strains and plastic relaxation of the matrix.
Ultimately, the results will help establish physically based criteria for predicting TRIP behaviour in RHEAs.
Main tasks
- Familiarize yourself with an existing multi-phase-field model for martensitic transformations.
- Extend the existing model to include plastic relaxation of the β matrix.
- Calibrate input parameters (lattice constants, elastic constants, free energies, yield stresses, etc.) from literature data.
- Perform numerical simulations to investigate the effect of mechanical loading on the microstructural evolution.
- Analyse 3D simulation outputs and compare with available experimental data.
Where to apply
E-mail maeva.cottura@univ-lorraine.fr
Requirements
Research Field Physics » Computational physics
Education Level Master Degree or equivalent
Research Field Physics » Classical mechanics
Education Level Master Degree or equivalent
Research Field Physics » Thermodynamics
Education Level Master Degree or equivalent
Skills/Qualifications
- Strong background in metallurgy, materials science, solid mechanics, or computational physics.
- High interest in numerical methods and scientific programming (e.g. Python, Fortran).
- Knowledge of phase field modelling is appreciated.
- Good written and spoken English and/or French.
Languages ENGLISH
Level Good
Work Location(s)
Number of offers available 1
Company/Institute Institut Jean Lamour
Country France
City Nancy
Postal Code 54011
Contact
City Nancy
Website https://ijl.univ-lorraine.fr/
Street 2 Allée André Guinier
Postal Code 54000
