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Title | Framework for coupled digital twins in digital machining |
Authors |
Plakhotnik, D.
Curutiu, A. Zhulavskyi, Arkadii Yuriiovych Beudaert, Xavier Munoa, Jokin Stautner, M. |
ORCID | |
Keywords |
CAM digital twin digital machining NC verification |
Type | Article |
Date of Issue | 2021 |
URI | https://essuir.sumdu.edu.ua/handle/123456789/87678 |
Publisher | MM Science Journal, Czech Republic |
License | Creative Commons Attribution 4.0 International License |
Citation | Plakhotnik, D., Curutiu, A., Zhulavskyi, A., Beudaert Xavier, Munoa Jokin, Stautner, M. Framework for coupled digital twins in digital machining. MM Science Journal, 2021, November, pp. 5093-5097. |
Abstract |
This paper presents a further elaboration of the use of the digital twin concept in digital machining. The
main goal of the research is an attempt to combine digital representations of different objects involved in
the machining process in a holistic manner. Digital twins of the in-process workpiece, cutting tool,
clamping, and machine tool along with the process twin are connected in a framework in which all these
elements can influence each other. The framework shows different levels of integration of different digital
twins and practical recommendation on the implementation. Besides, the framework supports a simulation
layer that provides data for the intensity of the interaction. Such interactions can result in, for instance,
cascading calculations of cutter workpiece engagement, cutting forces, tool wear, tool deflection, chatter,
and so on. Eventually, a design for a software mockup was elaborated to present the developed
framework. The entire workflow to simulate part machining in such a digital representation can be used
as an ultimate tool for CAM simulation and NC verification within the Zero Defect Manufacturing paradigm. |
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993786514
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17617
Germany
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Greece
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Hong Kong SAR China
6345406
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Files
File | Size | Format | Downloads |
---|---|---|---|
Plakhotnik_et_al_2021_framework_for_coupled_digital_twins_in_digital_machining.pdf | 797.29 kB | Adobe PDF | 95311861 |
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