Doctoral Student

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Arts et Métiers ParisTech - École Nationale Supérieure d'Arts et Métiers
Aix-en-Provence
EUR 20 000 - 40 000
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Description du poste

Call for Ph.D. applications on Reverse Engineering for Cast Foundry Parts

  • Application Deadline: 15/03/2025
  • Desired starting date and duration:September – October 2025, duration: 36 months.

Location / Research units:

The position will be primarily located at the Arts and Métiers Institute of Technology, Aix-en-Provence (France), within the LISPEN (Laboratoire d’Ingénierie des Systèmes Physiques et Numériques) and the MSMP (Mechanics, Surfaces and Materials Processing) laboratories.

Doctoral School:

SMI - Sciences des Métiers de l'Ingénieur (Engineering Science)

Position overview – Keywords

Reverse engineering, digital twins, cast foundry, Design for Re-Manufacturing, additive manufacturing

Position Overview – Context

For many years, casting has largely remained a process with no significant breakthroughs, where lack of innovation stemmed from the profound reliance on empirical knowledge. Processes are typically shaped by the practical expertise of founders and workers, resulting in methods that may be less robust and slower to evolve. Despite these challenges, casting processes are still used for the production of complex shapes, which remains highly relevant to the modern manufacturing in shaping the future. Among the traditional hurdles, one of the current issues is the reindustrialization of old foundry parts, some of which have long lifespans (> 40 years in aeronautics for example); in this case, previous casting tools are now obsolete and lack available documentation for their re-industrialization.

However, new techniques as 3D scanning, additive manufacturing of molds and digital simulations of the casting process open the way to new perspectives to the evolution of casting parts production. In this context, the work of the Ph.D. candidate will be focused on developing a comprehensive approach to reverse engineering of casting parts and optimizing their mechanical performance and manufacturability.

Key objectives include:

  • Proposing a global approach for rapid reverse engineering and digital remanufacturing of casting parts;
  • Leveraging 3D scanning, additive manufacturing and digital simulations to enhance the foundry process;
  • Creating digital twins to be fully consistent with scanned or produced casting parts;
  • Developing a robust tool for iterative modeling based on a Design For Re-Manufacturing (DFRM) approach.

Specific goals:

The candidate will focus on the development of a powerful simulation tool that continuously adapts 3D shapes from initial draft to the capabilities of the casting process, so optimizing control of the mechanical characteristics both in terms of performance and safety.

Key tasks for the definition of an overall framework for a “3D Scan to 3D Cast” methodological approach could include:

  1. The development of an approach for the 3D reconstruction of casting parts from multiple sources (industrial drawings, laser scans, tomography); this will produce a 3D model suitable for 3D printing molds and structured for digital simulation of the foundry process.
  2. The integration of the previous 3D reconstruction approach into the digital chain of the foundry process (digital simulation of elementary foundry-filling processes, thermal analysis, solidification, etc.) and in the physical chain of material/3D printed mold interaction.
  3. Experimental and numerical predictive validation of this instrumented low-pressure casting methodology, in order to identify the design principles (rules) and in particular the geometries to avoid, based on product/process interactions and defect causes.

Supervisors:

Prof. Mohamed El Mansori (PU, MSMP), directeur de thèse

Prof. Philippe Véron (PU, LISPEN), directeur de thèse

Valeria Croce (ECC, LISPEN), co-encadrant

Nagasivamuni Balasubramani (ECC, MSMP), co-encadrant

Project funding and administration:

The work of the Ph.D. candidate will be framed in the context of the “Rapid Reverse engineering and digital Remanufacturing of casting parts (R3casting)” research project and will be funded by CARNOT Arts Institute.

Candidate profile – Requirements

  • A master’s degree in Mechanical Engineering, Civil Engineering, Materials Science, or other related fields (M2, school of engineer) with solid knowledge in CAD, 3D modeling, reverse engineering and finite element analysis. Knowledge in surveying methods, manufacturing process, metallic materials and metal casting process is added advantage.
  • Advanced proficiency in English or French, both spoken and written.
  • Ability to work and report independently in group meetings, company meetings and conferences.
  • Excellent analytical, problem-solving, and communication skills.

How to apply

To apply, please send the following documents to valeria.croce@ensam.eu and nagasivamuni.balasubramani@ensam.eu with the subject line "PhD/Postdoc Application – Reverse engineering – SURNAME Name":

  1. A cover letter for the position (2 pages max.) describing your motivation and research interests, even including a short description of your previous research work with timeline
  2. A detailed CV (5 pages max.)
  3. Proof of the declared academic degrees, Academic portfolio and/or other relevant supporting documents
  4. Two recommendation letters signed by an academic referee are encouraged, though optional.

Applications will be reviewed and interviews (in English or in French) will be conducted on a case-by-case basis.

Contact Information

For more details or questions about this position or your eligibility and interest to work with us, please do not hesitate to write an e-mail to valeria.croce@ensam.eu.

About ENSAM AIX-EN-PROVENCE

Founded in 1843, the Arts et Métiers campus situated in the historic center of Aix-en-Provence, benefiting from its strategic geographical location and ties with three major industrial sectors: aeronautics (Airbus, Dassault), decarbonized energies (EDF, CEA, Capénergies, ITER, ORANO, VINCI Energies), and electronics (STMicroelectronics, Gemalto, Thales).

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