Methodology for predicting dynamic behaviour of machine tools based on a virtual model
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F17%3APU124360" target="_blank" >RIV/00216305:26210/17:PU124360 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Methodology for predicting dynamic behaviour of machine tools based on a virtual model
Original language description
This paper focuses on methodology for predicting dynamic behaviour of a machine tool based on a virtual model. The conventional approach based on a Finite Element Method is improved by including advanced modelling techniques, such as component mode synthesis, dynamic system identification and statespace transformation. Up to date, one of the available approaches to suppress the unstable behaviour during an operation is based on compensation of insufficient characteristics of the existing machine, however the goal is to optimize crucial parameters before the machine is manufactured. Presented method enable an effective prediction of unstable behaviour due to insufficient dynamic stiffness during an early stage of the product pre-production phase. In this paper, the theoretical foundation of virtual modelling of machine tools is set and a basic principle of the implemented techniques is discussed. Their application is a subject of an ongoing research.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20301 - Mechanical engineering
Result continuities
Project
<a href="/en/project/LO1202" target="_blank" >LO1202: NETME CENTRE PLUS</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Engineering Mechanics 2017
ISBN
978-80-214-5497-2
ISSN
1805-8248
e-ISSN
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Number of pages
1150
Pages from-to
534-537
Publisher name
Brno University of Technology, Faculty of Mechanical Engineering, Institute of Solid Mechanics, Mechatronics and Biomechanics
Place of publication
Svratka
Event location
Svratka
Event date
May 15, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000411657600123