<div class="csl-bib-body">
<div class="csl-entry">Tonejca, L., Mayer, C., Trautner, T. F., Mauthner, G., & Bleicher, F. (2023, July 12). <i>CNC Machine Tool Focused Edge Computing in Manufacturing</i> [Conference Presentation]. CIRP ICME ’23 Conference: 17th CIRP International Conference on Intelligent Computation in Manufacturing Engineering, Ischia, Italy. https://doi.org/10.34726/5454</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/193855
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dc.identifier.uri
https://doi.org/10.34726/5454
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dc.description
Novel modular edge application to equip machine tools with external sensory systems and establish communication between the machine and the sensor to trigger measurements automatically.
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dc.description.abstract
This paper presents a method for standardized integration of external sensors and actuators into CNC machine tool systems utilizing edge computing technology. Different communication protocols and various means for triggering external devices at a chosen machining operation were studied and evaluated using a sensory tool holder. The benefits of the presented architecture are the independence of the host operating system, easy customization, lightweight architecture, and standard protocols. Focusing on the demands for modern edge devices led to containerized modules with customizable interfaces. During manufacturing processes, the system was evaluated in terms of performance and reliability.
en
dc.description.sponsorship
FFG - Österr. Forschungsförderungs- gesellschaft mbH
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dc.language.iso
en
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dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
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dc.subject
Smart Manufacturing
en
dc.subject
Dockerisation
en
dc.subject
Edge Computing
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dc.subject
Digital Twin
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dc.title
CNC Machine Tool Focused Edge Computing in Manufacturing
en
dc.type
Presentation
en
dc.type
Vortrag
de
dc.rights.license
Urheberrechtsschutz
de
dc.rights.license
In Copyright
en
dc.identifier.doi
10.34726/5454
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dc.contributor.affiliation
TU Wien, Austria
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dc.relation.grantno
FO999891268
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dc.rights.holder
E311-01 IFT TU Wien
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dc.type.category
Conference Presentation
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tuw.project.title
Development of Self-Learning NC-Programming System for Data-Driven Surface Prediction and Adaptive Cutting Parameter Optimization
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tuw.researchTopic.id
C3
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tuw.researchTopic.name
Computational System Design
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E311-01-3 - Forschungsgruppe Steuerungstechnik und integrierte Systeme
