The postdoc project is focused on the development on an innovative approach for inverse identification of the coefficients of the constitutive model for the machining simulation. The research activities include: i) constitutive modelling of engineering material; ii) mechanical characterization of the materials; iii) machining tests using a new experimental setup composed by high-speed and infrared thermal cameras; iv) determination of the strain and strain-rate fields in machining using digital imaging correlation (DIC) technique; v) machining simulation using finite element (FEM) and meshless methods; and vi) determination of the coefficients of the constitutive model using optimization-based algorithms. The experimental setup mentioned above will be developed in the scope of a PhD thesis conducted in parallel of the postdoctoral project.
The project will be supervised by experienced researchers within the LaBoMaP laboratory (Laboratoire Bourguignon des Matériaux et Procédés, http://labomap.ensam.eu) of Arts et Metiers Institute of Technology, in collaboration with the LMT laboratory (Laboratoire de Mécanique et Technologie, http://lmt.ens-paris-saclay.fr) of ENS Paris-Saclay.
Keywords: Constitutive model, Inverse identification, Digital Image Correlation, FEM
Contract duration: 12 months
Jobs Hours: Full time
Deadline application: 20 September 2021
Starting job: Between October and December 2021
Candidate Profile:
Highly motivated candidate with a PhD degree in mechanical engineering or materials science. Experience in mechanical characterization of the materials, numerical simulation using FEM and machining will be considered a strong merit. Other desirable qualifications include the application of DIC technique for materials testing, the optimization-based algorithms and the development of constitutive models.
Application:
Please send the following documents (all in one PDF file) by e-mail to jose.outeiro@ensam.eu :
1) For EU candidates: Copy of your national ID card or of your passport page where your photo is printed.
For non-EU candidates: Copy of your passport page where your photo is printed.
2) Curriculum Vitae (may include hyperlinks to your ResearchID, Research Gate Google Scholar accounts).
3) Detailed list of publications (may include hyperlinks to DOI of publications).
4) Letter of motivation relatively to the position (Cover Letter) in which applicants describe themselves and their contributions to previous research projects (maximum 2 pages)
5) Copy of your PhD degree if already available.
6) Coordinates of reference persons (maximum 3, at least your master thesis supervisor):
Title, Name, organization, e-mail.
If you have questions regarding the application, please contact the supervisors.