Publication detail

Position-Dependent Response Simulation of Machine Tool Using State-Space Models

KŠICA, F. HADAŠ, Z.

Original Title

Position-Dependent Response Simulation of Machine Tool Using State-Space Models

English Title

Position-Dependent Response Simulation of Machine Tool Using State-Space Models

Type

journal article in Scopus

Language

en

Original Abstract

The stability of a machining process is a function of the dynamic response between the spindle and table, which varies within the machine work volume. This paper deals with computationally efficient methodology to valuate and simulate dynamic performance of the machine tool. A positiondependent virtual model is assembled using finite element model reduced via component mode synthesis and transformed to a state-space multi-input-multi-output system. Combination of these techniques allow time-efficient response simulations with significantly less computational effort than conventionally used full finite element models. The presented approach can be used to create position-dependent dynamic stiffness map within the work volume used to predict and reduce unstable behaviour during operation. Furthermore, these techniques are not reserved for machine tools exclusively and can be used in wider spectrum of technical applications, that require time-efficient response simulations.

English abstract

The stability of a machining process is a function of the dynamic response between the spindle and table, which varies within the machine work volume. This paper deals with computationally efficient methodology to valuate and simulate dynamic performance of the machine tool. A positiondependent virtual model is assembled using finite element model reduced via component mode synthesis and transformed to a state-space multi-input-multi-output system. Combination of these techniques allow time-efficient response simulations with significantly less computational effort than conventionally used full finite element models. The presented approach can be used to create position-dependent dynamic stiffness map within the work volume used to predict and reduce unstable behaviour during operation. Furthermore, these techniques are not reserved for machine tools exclusively and can be used in wider spectrum of technical applications, that require time-efficient response simulations.

Keywords

machine tool; virtual model; component mode synthesis; state-space model; response simulation; position-dependent stability

Released

13.12.2017

Publisher

MM publishing, s.r.o.

Location

Praha

ISBN

1803-1269

Periodical

MM Science Journal

Year of study

December

Number

1

State

CZ

Pages from

2120

Pages to

2127

Pages count

2127

URL

Documents

BibTex


@article{BUT143031,
  author="Filip {Kšica} and Zdeněk {Hadaš}",
  title="Position-Dependent Response Simulation of Machine Tool Using State-Space Models",
  annote="The stability of a machining process is a function of the dynamic response between the spindle and table, which varies within the machine work volume. This paper deals with computationally efficient methodology to valuate and simulate dynamic performance of the machine tool. A positiondependent virtual model is assembled using finite element model reduced via component mode synthesis and transformed to a state-space multi-input-multi-output system. Combination of these techniques allow time-efficient response simulations with significantly less computational effort than conventionally used full finite element models. The presented approach can be used to create position-dependent dynamic stiffness map within the work volume used to predict and reduce unstable behaviour during operation. Furthermore, these techniques are not reserved for machine tools exclusively and can be used in wider spectrum of technical applications, that require time-efficient response simulations.",
  address="MM publishing, s.r.o.",
  chapter="143031",
  doi="10.17973/MMSJ.2017_12_201799",
  howpublished="online",
  institution="MM publishing, s.r.o.",
  number="1",
  volume="December",
  year="2017",
  month="december",
  pages="2120--2127",
  publisher="MM publishing, s.r.o.",
  type="journal article in Scopus"
}