Laser material processing (RessFBBM)
Subject of research
- Control of cleaning laser erosion processes (CW and USP laser sources as well as ps and f laser pulses) on contaminated surfaces of semi-finished products (e.g. ceramic, plastic, metal) in production.
- Detection of contaminants (e.g. oils, greases, cleaning agents, scale, paints, etc.) and inhomogeneities on the surfaces using multimodal/multispectral AI-based inspection systems.
- Development of a control algorithm based on machine learning methods for the targeted and performance-adapted removal of contaminants.
Results
Concrete determination of the type, strength and location of surface irregularities and surface adhesions and their elimination during processing by laser ablation processes using multimodal sensor technology.
Involved organisations
Schmalkalden University of Applied Sciences
Faculty of Mechanical Engineering
Production Engineering/Tool Design
Prof. Dr.-Ing. Thomas Seul
www.angewandte-kunststofftechnik.de
TU Ilmenau
FG Quality Assurance and Industrial Image Processing
TU Ilmenau
FG Fertigungstechnik - Ernst-Abbe-Hochschule Jena
AG Fertigungstechnik/Fertigungsautomation
Third-party funder
Richtlinie zur Förderung von Personal in Forschung und Entwicklung / Forschergruppen (FGR) der Thüringer Aufbaubank (TAB)
Additional information
- Duration: 04/2021 – 08/2022 (17 Month)
- Funding amount: HSM share € 135,004
- pdf (german): RessFBBM - Ressourceneffiziente Beobachtung und Lasermaterialbearbeitung von Oberflächen durch multimodale Datenerfassung und intelligente Datenverarbeitung
