Internship R&D -Damage evolution prototyping in aluminium thick plate F/H/X

Constellium SE; Voreppe; On-site; EUR 12,000 - 17,000; Full time

Job summary

Constellium is offering an internship in R&D focused on damage evolution prototyping in aluminium thick plate. You will join the C-TEC center in Grenoble (Voreppe) and work on the coupling of ex situ tomography high temperature tensile tests with finite element modelling.

The project spans experimental trials, micro-CT imaging, and advanced FEM, with opportunities to develop digital twins, analyze porosity-damage relationships, and validate models against laboratory tests.

Qualifications

• Background in Materials Science, Mechanics, or related discipline.
• Knowledge of and enthusiasm for numerical simulation.
• Interest in experimental research activities, including data analysis and numerical data processing.
• Basic programming skills in Python.
• Good communication and teamwork skills.
• Ability to work independently while collaborating within a multidisciplinary team.

Responsibilities

• Set up a digital twin of a hot tensile test at the local scale.
• Quantify porosity and damage fields and compare with DVC results.

Skills

FEM simulations

Damage models

Python

X-ray tomography

Education

Master's degree in Materials Science/Mechanical Engineering

Tools

Python

Job description

Internship R&D -Damage evolution prototyping in aluminium thick plate F/H/X

Damage evolution prototyping in aluminium thick plate thanks to the coupling of ex situ tomography high temperature tensile tests and finite element modelling

Constellium is a world leader in the development and manufacture of high value-added aluminum products and solutions for a wide range of markets and applications, focusing in particular on aerospace, automotive and packaging. Constellium also has nearly 12,000 employees worldwide.We are committed to minimizing the environmental impact of our operations and improving the life cycle footprint of aluminum throughout the value chain.

In our company, safety is essential, it is one of our core values without compromise. Our Research and Technology Center, C-TEC Constellium Technology Center, based in Grenoble (Voreppe – 38) employs about 240 people.

By joining our company, you will discover a multicultural company (over 20 nationalities) which is committed to diversity and the well-being of its employees.

PROJECT TITLE: Damage evolution prototyping in aluminium thick plate thanks to the coupling of ex situ tomography high temperature tensile tests and finite element modelling»

Scientific background

Light alloys, such as AA2050, play a key role in the aerospace industry due to their high mechanical performance combined with their low density. During the processing of thick plates, hot rolling is used to reduce thickness and close pores formed during casting. Pore evolution depends on both the local mechanical state (stress and strain) and pore morphology. While existing models accurately predict the evolution of simple-shaped pores, their predictive capability remains limited for geometrically complex pore morphologies.

Furthermore, new processing windows may induce extreme conditions under which pore behavior is not yet fully understood. In particular, pore nucleation and growth may occur, and current models have not yet been thoroughly validated because of the lack of suitable experimental data. Constellium currently uses constitutive laws that include a damage model capable of reproducing the macroscopic response of the material. However, the relationship between the mechanical damage parameter and the porosity state still requires further investigation.

A previous study combined hot tensile testing, X-ray micro-computed tomography (micro-CT), and Digital Volume Correlation (DVC) [Stamati et al., 2020; Lhuissier et al., 2021] to establish a link between local strain and porosity state.

The experimental setup for hot tensile testing is available at the C-TEC laboratory, while the micro-CT framework, including image acquisition and automated image processing, is operational at SIMAP should additional experiments be required.

The next step is to establish both qualitative and quantitative relationships between local damage and porosity state. This will be achieved through damage modelling using Finite Element Method (FEM) simulations.

Main Objectives

1. Set up a digital twin of a hot tensile test at the local scale:

• Simulate the volume analyzed in terms of porosity and strain (using existing data from a previous study).
• Quantify the strain field and compare it with Digital Volume Correlation (DVC) results.
• Quantify the damage parameter field in the locally deformed zone based on the Hosford-Coulomb damage model [Mohr and Marcadet, 2015].
• Correlate pore volume evolution with the damage parameter and establish a "porosity state versus damage" relationship.

2. Extend the model to macro-scale simulations:

• Implement the "porosity state versus damage" relationship in existing macro-scale FEM models (hot compression testing and hot rolling).
• Simulate pore volume evolution during hot compression testing and hot rolling.

3. Validate the FEM models through experimental trials conducted on a laboratory hot compression test and a laboratory hot rolling mill at the C-TEC facilities.

4. An additional task involving the correlation between High-Resolution Ultrasonic Testing and pore volume may be included in the project, time permitting.

• Experience in finite element simulations using state-of-the-art damage models.
• Understanding of the relationships between macroscopic mechanical behavior and microstructural evolution.
• Hands-on experience with laboratory trials.
• Exposure to X-ray tomography experiments and image reconstruction techniques.
• Exposure to advanced FEM models for metal processing applications, including hot compression and rolling.

Profile

Education level: students engaged in their final year of Master’s or Material / Mechanical Engineer’s degree

Candidate Profile and Required Skills:

• Background in Materials Science, Mechanics, or a closely related discipline.
• Knowledge of and enthusiasm for numerical simulation.
• Interest in experimental research activities, including experimental data analysis and numerical data processing.
• Basic programming skills in Python or a similar programming language.
• Good communication and teamwork skills.
• Ability to work independently while collaborating effectively within a multidisciplinary team.