Strategy for Implementating Predictive Process-Oriented Machine Tool Digital Twins
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F22%3A00360960" target="_blank" >RIV/68407700:21220/22:00360960 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/22:00360960
Result on the web
<a href="https://doi.org/10.17973/MMSJ.2022_10_2022121" target="_blank" >https://doi.org/10.17973/MMSJ.2022_10_2022121</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.17973/MMSJ.2022_10_2022121" target="_blank" >10.17973/MMSJ.2022_10_2022121</a>
Alternative languages
Result language
angličtina
Original language name
Strategy for Implementating Predictive Process-Oriented Machine Tool Digital Twins
Original language description
Process planning for the productive machining of complex shaped parts is a comprehensive activity where the dynamic behaviour of a machine tool, workpiece and the process setting has to be taken into account. The predictive process-oriented machine tool digital twin is a digital simulation tool enabling full control of the process results with respect to the adjustment of the whole machining system and the machining process. The paper defines and describes four different levels of such a digital twin according to its complexity. An overview of key elements and modelling techniques employed for creating the process digital twins is provided. The strategy for implementing the process digital twin as an enhancement of the NC machining process planning chain is presented. Selected use cases in the field of mould machining or thin walled blade machining are used for the method demonstrated.
Czech name
—
Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
20505 - Composites (including laminates, reinforced plastics, cermets, combined natural and synthetic fibre fabrics; filled composites)
Result continuities
Project
<a href="/en/project/EF16_026%2F0008432" target="_blank" >EF16_026/0008432: Cluster 4.0 - Methodology of System Integration</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
MM Science Journal
ISSN
1803-1269
e-ISSN
1805-0476
Volume of the periodical
2022
Issue of the periodical within the volume
October
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
8
Pages from-to
5954-5961
UT code for WoS article
000862613800001
EID of the result in the Scopus database
2-s2.0-85139114098