Maxime Chalvin

Maxime Chalvin

Associate professor, CNU 60

phone : 04.94.14.23.60

E-mail : maxime.chalvin at univ-tln.fr

Bio

Former student of the ENS Cachan (now ENS Paris-Saclay), and PhD of the University of Toulon in Mechanical engineering, I am an associate professor (CNU section 60) at the IUT GMP of Toulon and the COSMER laboratory.

I defended my thesis in 2020 concerning the multi-axis additive manufacturing of tubes by robotic wire deposition, and particularly the generation and optimization of trajectories. Afterwards, I worked one year as a research and innovation pilot, during which I continued research work on multi-axis additive manufacturing, especially for the WAAM process.

Research

My work focuses on multi-axis additive manufacturing, using metallic or polymeric materials, in order to generate manufacturing trajectories adapted to multi-axis additive manufacturing using directed energy deposition processes, in order to suppress the support. One aspect of the work carried out also concerns the in-situ monitoring of the process in order to control it according to the operating conditions.

 



10 documents

Articles dans une revue

  • Maxime Chalvin, Sébastien Campocasso, Vincent Hugel, Thomas Baizeau. Layer-by-layer generation of optimized joint trajectory for multi-axis robotized additive manufacturing of parts of revolution. Robotics and Computer-Integrated Manufacturing, 2020, 65 (101960), pp.1-11. ⟨10.1016/j.rcim.2020.101960⟩. ⟨hal-02509891⟩

Communications dans un congrès

  • Maxime Chalvin, Frederik Wulle, Sébastien Campocasso, Anja Elser, Vincent Hugel, et al.. Orientation smoothing in multi-axis additive manufacturing. 55th CIRP Conference on Manufacturing Systems (CIRP CMS), Jun 2022, Lugano, Switzerland. pp.357-362, ⟨10.1016/j.procir.2022.04.058⟩. ⟨hal-03687621⟩
  • Ugo Bourgon, Sébastien Campocasso, Maxime Chalvin, Vincent Hugel, Matthieu Museau. Fabrication d’un motif de Schwarz-P par procédé WAAM multi-axes. Journées Manufacturing'21, May 2022, Besançon, France. ⟨hal-03687632⟩
  • Alexis Claude, Maxime Chalvin, Ugo Bourgon, Sébastien Campocasso, Florence Russo, et al.. Stratégies de fabrication multiaxes d’orthèses médicales personnalisées obtenues par fabrication additive multi-matériaux. Journées Manufacturing'21, May 2022, Besançon, France. ⟨hal-03687648⟩
  • Maxime Chalvin, Alexis Claude, Sébastien Campocasso, Vincent Hugel. Gestion de la température couche-par-couche pour la fabrication additive WAAM. Conférence Manufacturing'21, Jun 2021, Angers (Online), France. pp.10. ⟨hal-03267645⟩
  • Maxime Chalvin, Sébastien Campocasso, Vincent Hugel, Thomas Baizeau. Génération de trajectoire pour l'ajout d'entités par fabrication additive robotisée multi-axes. 16ème Colloque national S-mart, Apr 2019, Les Karellis, France. pp.1-6. ⟨hal-02112213v2⟩
  • Maxime Chalvin, Sébastien Campocasso, Vincent Hugel, Thomas Baizeau. Stratégies d'optimisation de trajectoires dans l'espace articulaire pour la fabrication additive robotisée multi-axes. Journées Manufacturing'21, Jan 2019, Toulon, France. ⟨hal-02067891⟩
  • Sébastien Campocasso, Maxime Chalvin, A.-K. Reichler, R. Gerbers, K. Dröder, et al.. A framework for future CAM software dedicated to additive manufacturing by multi-axis deposition. 6th CIRP Global Web Conference (CIRPe), Oct 2018, Web Conference, China. pp.79-84, ⟨10.1016/j.procir.2018.08.314⟩. ⟨hal-02112130⟩
  • Maxime Chalvin, Sébastien Campocasso, Thomas Baizeau, Vincent Hugel. Automatic multi-axis path planning for thinwall tubing through robotized wire deposition. 12th CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME), Jul 2018, Gulf of Naples, Italy. pp.89-94, ⟨10.1016/j.procir.2019.02.017⟩. ⟨hal-02112187⟩
  • Maxime Chalvin, Sébastien Campocasso, Vincent Hugel, T. Baizeau. Fabrication additive par dépôt de fil robotisé multiaxes : optimisation des trajectoires de dépôt et du pilotage du robot. Journées Manufacturing'21, Jan 2018, Metz, France. ⟨hal-01723862⟩

Education

My teaching is carried out within the BUT GMP of Toulon mainly in the following subjects:

  • Manufacturing engineering (about 50%)
  • Mechanical design (about 40%)
  • Robotic (about 10%)