The Doctoral Studies Office is pleased to inform you that
Mr. Lewis ANDURAND
Doctoral student at the COSMER laboratory
laboratory, attached to Doctoral School 548 “Mer & Sciences” (France)
will submit his dissertation in view of obtaining the Grade de Docteur
under the supervision of
Vincent HUGEL, Professor, University of Toulon (France)
Sébastien CAMPOCASSO, Associate Professor, University of Toulon (France)
Matthieu MUSEAU, Associate Professor, Grenoble-Alpes University (France)
Discipline: Solid Mechanics, Mechanical Engineering, Productics, Transport and Civil Engineering
Specialty: Additive Manufacturing
on the theme
“Development of a versatile trajectory generation method for the production of multi-axis DED parts from faceted surfaces”.
Thursday, August 31, 2023 at 09:30 a.m.
At Université de Toulon – Campus La Garde – Bâtiment M – Amphi M.01
before a jury composed of :
- Jean-Philippe PERNOT, University Professor, École Nationale Supérieure d’Arts et Métiers, Rapporteur
- Stéphane SEGONDS, Professor, University of Toulouse III, Rapporteur
- François VILLENEUVE, Professeur des Universités, Université Grenoble-Alpes, Examiner
- Sébastien CAMPOCASSO, Senior Lecturer, University of Toulon, Supervisor
- Matthieu MUSEAU, Senior Lecturer, Grenoble-Alpes University, Supervisor
- Vincent HUGEL, Professor, University of Toulon, Thesis Director
Development of a Versatile Path Generation Method for the Manufacturing of Parts by Multi-Axis DED Processes from Meshed Surfaces
Additive manufacturing is a category of processes that allows the production of mechanical parts by the adding of material. Directed Energy Deposition (DED) processes can be combined with multi-axis robots and are a promising option to obtain parts with complex structures. However, the path generation methods and the machine structures used remain an issue. With innovations in these areas, the industrial possibilities would increase tenfold.
This thesis presents a numerical and systematic path generation method based on meshed surfaces and adapted to DED processes. The method was validated through simulations on minimal triply periodic surfaces and allows the creation of a first deposition path that meets the distance constraint between the part and the tool. This first path can be combined with region prioritization feedback to obtain a final path adapted to the physical warnings provided by the robot, the manufacturing material and the tool.
Keywords : Path Generation, Additive Manufacturing, Directed Energy Deposition, Computer Aided Manufacturing