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Collision avoidance and adaptive path planning in machine tools by matching live image data with a geometric simulation

Hansjosten, Malte 1; Fleischer, Jürgen 1,2; Frings, Markus; Odendahl, Sven; Stautner, Marc
1 Institut für Produktionstechnik (WBK), Karlsruher Institut für Technologie (KIT)
2 Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

A major cause for unplanned downtime in small-series machining are collisions. While there are solutions to avoid collisions using geometric simulations, these do not cover collisions caused by setup errors. To address this problem from batch size one, a system has been developed which matches a geometric simulation with image data to detect deviations, modify the simulation and recalculate NC-Code to fit reality. Building on previous work regarding image-preprocessing, an iterative matching algorithm is developed, as well as a microservice based system-architecture which allows the integration of matching, adaptive path planning and collision avoidance simulation. The system is validated on a machining center.


Verlagsausgabe §
DOI: 10.5445/IR/1000166951
Veröffentlicht am 04.01.2024
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Produktionstechnik (WBK)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2023
Sprache Englisch
Identifikator ISSN: 2212-8271
KITopen-ID: 1000166951
Erschienen in Procedia CIRP
Verlag Elsevier
Band 118
Seiten 151–156
Bemerkung zur Veröffentlichung 16th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME ‘22, Italy
Schlagwörter Machine tool, Simulation, Sensor
Nachgewiesen in Dimensions
Scopus
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