Strategy for Implementating Predictive Process-Oriented Machine Tool Digital Twins
Identifikátory výsledku
Kód výsledku v 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>
Nalezeny alternativní kódy
RIV/68407700:21730/22:00360960
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Strategy for Implementating Predictive Process-Oriented Machine Tool Digital Twins
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Strategy for Implementating Predictive Process-Oriented Machine Tool Digital Twins
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS
CEP obor
—
OECD FORD obor
20505 - Composites (including laminates, reinforced plastics, cermets, combined natural and synthetic fibre fabrics; filled composites)
Návaznosti výsledku
Projekt
<a href="/cs/project/EF16_026%2F0008432" target="_blank" >EF16_026/0008432: Klastr 4.0 - Metodologie systémové integrace</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
MM Science Journal
ISSN
1803-1269
e-ISSN
1805-0476
Svazek periodika
2022
Číslo periodika v rámci svazku
October
Stát vydavatele periodika
CZ - Česká republika
Počet stran výsledku
8
Strana od-do
5954-5961
Kód UT WoS článku
000862613800001
EID výsledku v databázi Scopus
2-s2.0-85139114098