This doctoral project aims to address various scientific challenges associated with the robotic incremental forming process. One of the primary challenges lies in ensuring the geometric accuracy of formed parts, particularly concerning the sheet's springback and the behavior of the robot, both being significant sources of final part geometric errors. The project focuses on utilizing numerical simulation of the Single Point Incremental Forming (SPIF) process as a methodology to ensure the geometric accuracy of industrially relevant sheet metal parts thanks numerical simulation predictions. To achieve this, a thorough analysis and modeling of material behavior are essential, taking into account parameters such as hardening, plastic anisotropy, springback, viscoplasticity, damage, etc. This PhD thesis aims to use the numerical simulation of SPIF process as the core tool for mastering the geometrical accuracy of industrially-relevant sheet metal parts. The project is funded by the French National Research Agency (Agence Nationale de la Recherche) and is titled "TOMORO" which stands for "Tool-material interaction-based robotic incremental forming".
Funding: French National Research Agency (Agence Nationale de la Recherche), Projet "TOMORO" ANR-22-CE10-0005
Partners: LAMPA, Arts et Métiers, Angers Campus and LCFC, Arts et Métiers, Metz Campus