Simulation-based collision detection for CNC machining using sensor-based image recognition

verfasst von

B. Denkena, M. Wichmann, T. Malek, R. Raeker

Abstract

In milling processes, collisions lead to cost-intensive machine damages and long-term maintenance downtimes. Collisions tests are essential in CAD/CAM planning when it comes to small batch sizes e.g. for aerospace parts. Currently, experimental tests are carried out based on the nominal clamping situation and CAD data. Clamping errors, probing errors and particularly incorrect tool lengths are thereby not considered. For this reason, a concept for a sensor-based collision detection system is presented. The integration of an automatic image recognition in combination with a material removal simulation enables an accuracy of 96.87 % in collision detection for three defined reference workpieces.

Organisationseinheit(en)

Institut für Fertigungstechnik und Werkzeugmaschinen

Typ

Konferenzaufsatz in Fachzeitschrift

Journal

Procedia CIRP

Band

126

Seiten

342-347

Anzahl der Seiten

6

ISSN

2212-8271

Publikationsdatum

2024

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Steuerungs- und Systemtechnik, Wirtschaftsingenieurwesen und Fertigungstechnik

Elektronische Version(en)

https://doi.org/10.1016/j.procir.2024.08.370 (Zugang: Offen)