Mauthner, G., Ehrendorfer, M., Trautner, T. F., Ramsauer, C. M., Plakhotnik, D., & Bleicher, F. (2021). Method for Data-Driven NC-Code Optimization based on Dexel Material Removal Simulation and Tool Holder Vibration Measurements. In D. Mourtzis (Ed.), 54th CIRP CMS 2021 - Towards Digitalized Manufacturing 4.0 (pp. 1131–1136). Elsevier B.V. https://doi.org/10.1016/j.procir.2021.11.190
This paper presents a novel approach for data-driven NC-Code optimization, based on the integration of dexel-based material removal simulation and an instrumented tool holder, capable to measure vibrations during milling close to the cutting zone. Considering measured cutting vibrations, machine tool axis and NC-line data, a model has been developed optimizing cutting parameters to generate a NC-Code right after a first machining trial with mitigated vibration effects. Different modules for human-assisting vibration visualization and automated optimization of cutting parameters are presented, using milling use-cases implemented on a CNC machining center.
en
Research facilities:
Pilotfabrik
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Project title:
Sensor Visualisierung: 854187 (FFG - Österr. Forschungsförderungs- gesellschaft mbH) Pilotfabrik: 852105 (FFG - Österr. Forschungsförderungs- gesellschaft mbH)
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Research Areas:
Information Systems Engineering: 50% Modeling and Simulation: 25% Sensor Systems: 25%
CC BY-NC-ND 4.0
