<div class="csl-bib-body">
<div class="csl-entry">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.), <i>54th CIRP CMS 2021 - Towards Digitalized Manufacturing 4.0</i> (pp. 1131–1136). Elsevier B.V. https://doi.org/10.1016/j.procir.2021.11.190</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/187747
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dc.description.abstract
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.
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dc.description.sponsorship
FFG - Österr. Forschungsförderungs- gesellschaft mbH
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dc.description.sponsorship
FFG - Österr. Forschungsförderungs- gesellschaft mbH
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dc.language.iso
en
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dc.relation.ispartofseries
Procedia CIRP
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dc.rights.uri
http://creativecommons.org/licenses/by-nc-nd/4.0/
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dc.subject
CAD/CAM
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dc.subject
Milling
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dc.subject
Multidexel Model
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dc.subject
NC-Code Optimization
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dc.subject
Vibration
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dc.title
Method for Data-Driven NC-Code Optimization based on Dexel Material Removal Simulation and Tool Holder Vibration Measurements
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dc.type
Inproceedings
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dc.type
Konferenzbeitrag
de
dc.rights.license
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
en
dc.rights.license
Creative Commons Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International