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Active control of machine tool vibration

Håkansson, L ; Sturesson, P-O and Claesson, I (1995) 6th International Conference on Manufacturing Engineering, 1995 2. p.905-910
Abstract
A new adaptive technique is presented for the increase of the dynamic stiffness of the cutting tool in a lathe by active control of the tool vibration in the cutting speed direction. Due to the statistic properties of tool vibration that are induced by the stochastic behaviour of chip formation process, the controller is based on the filtered-x LMS algorithm which controls an adaptive filter that is based on Wiener filter theory. Hence, the adaptation of the filtered-x LMS algorithm is gradient-based and it is based on a classical optimization technique, the method of steepest descent. In the cutting experiments a tool holder construction with integrated actuators, i.e. secondary sources was used. The cutting experiments shows that the... (More)
A new adaptive technique is presented for the increase of the dynamic stiffness of the cutting tool in a lathe by active control of the tool vibration in the cutting speed direction. Due to the statistic properties of tool vibration that are induced by the stochastic behaviour of chip formation process, the controller is based on the filtered-x LMS algorithm which controls an adaptive filter that is based on Wiener filter theory. Hence, the adaptation of the filtered-x LMS algorithm is gradient-based and it is based on a classical optimization technique, the method of steepest descent. In the cutting experiments a tool holder construction with integrated actuators, i.e. secondary sources was used. The cutting experiments shows that the adaptive technique presented in this paper enables an increase in the dynamic stiffness of the cutting tool, i.e. tool vibrations are suppressed. (Less)
Please use this url to cite or link to this publication:
author
; and
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Sixth International Conference on Manufacturing Engineering: Manufacturing; a Global Perspective; Proceedings
volume
2
pages
905 - 910
publisher
Institution of Engineers, Australia
conference name
6th International Conference on Manufacturing Engineering, 1995
conference location
Melbourne, Australia
conference dates
1995-01-01 - 1995-01-01
ISBN
0858256339
language
English
LU publication?
no
id
992e021d-b4a8-4ca4-b2da-4c16ded61f63 (old id 1513145)
alternative location
http://search.informit.com.au/documentSummary;dn=891568448481116;res=IELENG
date added to LUP
2016-04-04 11:53:28
date last changed
2018-11-21 21:07:51
@inproceedings{992e021d-b4a8-4ca4-b2da-4c16ded61f63,
  abstract     = {{A new adaptive technique is presented for the increase of the dynamic stiffness of the cutting tool in a lathe by active control of the tool vibration in the cutting speed direction. Due to the statistic properties of tool vibration that are induced by the stochastic behaviour of chip formation process, the controller is based on the filtered-x LMS algorithm which controls an adaptive filter that is based on Wiener filter theory. Hence, the adaptation of the filtered-x LMS algorithm is gradient-based and it is based on a classical optimization technique, the method of steepest descent. In the cutting experiments a tool holder construction with integrated actuators, i.e. secondary sources was used. The cutting experiments shows that the adaptive technique presented in this paper enables an increase in the dynamic stiffness of the cutting tool, i.e. tool vibrations are suppressed.}},
  author       = {{Håkansson, L and Sturesson, P-O and Claesson, I}},
  booktitle    = {{Sixth International Conference on Manufacturing Engineering: Manufacturing; a Global Perspective; Proceedings}},
  isbn         = {{0858256339}},
  language     = {{eng}},
  pages        = {{905--910}},
  publisher    = {{Institution of Engineers, Australia}},
  title        = {{Active control of machine tool vibration}},
  url          = {{http://search.informit.com.au/documentSummary;dn=891568448481116;res=IELENG}},
  volume       = {{2}},
  year         = {{1995}},
}