Publication detail

Methodology for predicting dynamic behaviour of machine tools based on a virtual model

KŠICA, F. VETIŠKA, J. HADAŠ, Z.

Original Title

Methodology for predicting dynamic behaviour of machine tools based on a virtual model

English Title

Methodology for predicting dynamic behaviour of machine tools based on a virtual model

Type

conference paper

Language

en

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.

English 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

Released

15.05.2017

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.

Pages from

534

Pages to

537

Pages count

1150

Documents

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",
  annote="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.",
  address="Brno University of Technology, Faculty of Mechanical Engineering, Institute of Solid Mechanics, Mechatronics and Biomechanics",
  booktitle="Engineering Mechanics 2017",
  chapter="138590",
  edition="1.",
  howpublished="print",
  institution="Brno University of Technology, Faculty of Mechanical Engineering, Institute of Solid Mechanics, Mechatronics and Biomechanics",
  year="2017",
  month="may",
  pages="534--537",
  publisher="Brno University of Technology, Faculty of Mechanical Engineering, Institute of Solid Mechanics, Mechatronics and Biomechanics",
  type="conference paper"
}