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KŠICA, F. VETIŠKA, J. HADAŠ, Z.
Original Title
Methodology for predicting dynamic behaviour of machine tools based on a virtual model
Type
conference paper
Language
English
Original Abstract
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.
Keywords
Machine Tool; Dynamics; Virtual Model; Simulation; FEM
Authors
KŠICA, F.; VETIŠKA, J.; HADAŠ, Z.
Released
15. 5. 2017
Publisher
Brno University of Technology, Faculty of Mechanical Engineering, Institute of Solid Mechanics, Mechatronics and Biomechanics
Location
Svratka
ISBN
978-80-214-5497-2
Book
Engineering Mechanics 2017
Edition
1.
1805-8248
Periodical
Engineering Mechanics ....
State
Czech Republic
Pages from
534
Pages to
537
Pages count
1150
BibTex
@inproceedings{BUT138590, author="Filip {Kšica} and Jan {Vetiška} and Zdeněk {Hadaš}", title="Methodology for predicting dynamic behaviour of machine tools based on a virtual model", booktitle="Engineering Mechanics 2017", year="2017", series="1.", journal="Engineering Mechanics ....", pages="534--537", publisher="Brno University of Technology, Faculty of Mechanical Engineering, Institute of Solid Mechanics, Mechatronics and Biomechanics", address="Svratka", isbn="978-80-214-5497-2", issn="1805-8248" }