A method of predicting the best conditions for large-size workpiece clamping to reduce vibration in the face milling process - Publication - MOST Wiedzy

Search

A method of predicting the best conditions for large-size workpiece clamping to reduce vibration in the face milling process

Abstract

The paper presents an innovative method of solving the problem of vibration suppression during milling of large-size details. It consists in searching for the best conditions for clamping the workpiece based on a rapid modal identification of the dominant natural frequencies only and requires repetitive changes in the tightening torque of the clamping screws. Then, by estimating the minimum work of the cutting forces acting in the direction of the width of the cutting layer, it is possible to predict the best fixing of the workpiece. Application of the method does not require the creation and identification of a computational model of the process or preliminary numerical simulations. The effectiveness of this method was confirmed by the evaluation of the Root Mean Square (RMS) of the vibration level in the time domain observed during the actual face milling process. The worst results were obtained for the configuration of supports tightened with a torque of 90–110 Nm, and the best—with a torque of 50 Nm.

Citations

  • 0

    CrossRef

  • 0

    Web of Science

  • 0

    Scopus

Cite as

Full text

download paper
downloaded 4 times
Publication version
Accepted or Published Version
DOI:
Digital Object Identifier (open in new tab) 10.1038/s41598-021-00128-6
License
Creative Commons: CC-BY open in new tab

Keywords

Details

Category:
Articles
Type:
artykuły w czasopismach
Published in:
Scientific Reports no. 11, pages 1 - 13,
ISSN: 2045-2322
Language:
English
Publication year:
2021
Bibliographic description:
Kaliński K., Stawicka-Morawska N., Galewski M., Mazur M.: A method of predicting the best conditions for large-size workpiece clamping to reduce vibration in the face milling process// Scientific Reports -Vol. 11,iss. 1 (2021), s.1-13
DOI:
Digital Object Identifier (open in new tab) 10.1038/s41598-021-00128-6
Sources of funding:
Verified by:
Gdańsk University of Technology

seen 24 times

Recommended for you

Meta Tags