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Design of a Kalman Filter for a Cutting Force Measurement System

by Fu Shao
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 125 - Number 8
Year of Publication: 2015
Authors: Fu Shao
10.5120/ijca2015906116

Fu Shao . Design of a Kalman Filter for a Cutting Force Measurement System. International Journal of Computer Applications. 125, 8 ( September 2015), 13-15. DOI=10.5120/ijca2015906116

@article{ 10.5120/ijca2015906116,
author = { Fu Shao },
title = { Design of a Kalman Filter for a Cutting Force Measurement System },
journal = { International Journal of Computer Applications },
issue_date = { September 2015 },
volume = { 125 },
number = { 8 },
month = { September },
year = { 2015 },
issn = { 0975-8887 },
pages = { 13-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume125/number8/22451-2015906116/ },
doi = { 10.5120/ijca2015906116 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:15:28.919878+05:30
%A Fu Shao
%T Design of a Kalman Filter for a Cutting Force Measurement System
%J International Journal of Computer Applications
%@ 0975-8887
%V 125
%N 8
%P 13-15
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents a Kalman filter designed for a cutting force measurement system. The cutting force measurement system is used to measure cutting forces for meso-milling applications. Due to the small magnitude of the cutting forces generated from the meso-milling process, the measurement results are easily distorted by the noise that exists in the measurement system. The object of the Kalman filter design is to reduce the noise influence and obtain accurate cutting force measurement information for the meso-milling applications. The Kalman filter is designed based on an oscillation process model due to the oscillation characteristic of the cutting forces experienced in the meso-milling process.

References
  1. F.Shao, Design of a Three-Component Force Sensor forMeso-Milling Applications, University of Toronto: PhD Thesis, 2015.
  2. S. V. Vaseghi, Advanced Digital Signal Processing and Noise Reduction, Chichester; New York: John Wiley, 2008.
  3. M. P. Vogler, X. Liu, S. G. Kapoor and R. E. Devor, "Development of meso-scale machine tool (mMT) systems," Transactions of NAMRI/SME, pp. 653-661, 2002
  4. G. Bissacco, T. Gietzelt and H. N. Hansen, "Force analysis in micro milling Al 6082 T6 in various engagement conditions," in 4th International Conference on Multi Material Micro Manufacture (4M), Cardiff, United Kingdom, 2008.
  5. J. Chae and S. S. Park, "High frequency bandwidth measurements of micro cutting forces," International Journal of Machine Tools & Manufacture, vol. 47, no. 9, p. 1433–1441, 2007.
  6. G. Evensen, Data Assimilation: The Ensemble Kalman Filter, Berlin; New York: Springer, 2007.
  7. R. G. Brown and P. Y. Hwang, Introduction to Random Signals and Applied Kalman Filtering: with MATLAB Exercises and Solutions, New York: Wiley, 1997.
Index Terms

Computer Science
Information Sciences

Keywords

Kalman filter cutting force measurement signal filtering noise reduction

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