The Milling Process Monitoring Using 3D Envelope Method

Abstract:

This paper proposes a method to vibration analysis in order to on-line monitoring of milling process quality. Adapting envelope analysis to characterize the milling tool materials is an important contribution to the qualitative and quantitative characterization of milling capacity and a step by modeling the three-dimensional cutting process. An experimental protocol was designed and developed for the acquisition, processing and analyzing three-dimensional signal. The vibration envelope analysis is proposed to detect the cutting capacity of the tool with the optimization application of cutting parameters. The research is focused on Hilbert transform optimization to evaluate the dynamic behavior of the machine/ tool/workpiece.

• Periodical: Advanced Materials Research (Volume 423)
• Pages: 77-88
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.423.77
• Online since: December 2011
• Authors: Claudiu Bisu, Alain Gerard, Miron Zapciu, Olivier Cahuc

References

[1] X. Li, Flute breakage detection during end milling using Hilbert–Huang transform and smoothed nonlinear energy operator, International Journal of Machine Tools & Manufacture, 47, 2007, p.1011–1020.

DOI: 10.1016/j.ijmachtools.2006.06.016

[2] Dragos¸ A. Axinte, Nabil Gindy, Kate Fox, Iker Unanue, Process monitoring to assist the workpiece surface quality in machining, International Journal of Machine Tools & Manufacture, 44, 2004, p.1091–1108.

DOI: 10.1016/j.ijmachtools.2004.02.020

[3] C. F. Bisu, P. Darnis, A. Gérard, J-Y Knevez, Displacements analysis of self-excited vibrations in turning, International Journal of Advanced Manufacturing Technology, 44, (1-2), 2009, pp.1-16, DOI : 10. 1007/s00170-008-1815-8.

DOI: 10.1007/s00170-008-1815-8

[4] C. F. Bisu, A. Gérard, J-Y Knevez, R. Laheurte, O. Cahuc, Self-excited vibrations in turning : Forces torsor analysis, International Journal of Advanced Manufacturing Technology,. 44, (5-6), 2009, pp.447-462, DOI : 10. 1007/s00170-08-1850-5.

DOI: 10.1007/s00170-008-1850-5

[5] B. Kilundu, X. Chiementin, J. Duez, D. Mba, Cylostationary of acoustic emission (AE) for monitoring bearing defects, Mechanical systems and signal Processing, 25, (6), 2011, pp.2061-2072, DOI: 10. 1016/j. ymssp. 2011. 01. 020.

DOI: 10.1016/j.ymssp.2011.01.020

[6] O. Cahuc, Ph. Darnis, A. Gérard, J-L. Battaglia, Experimental and analytical balance sheet in turning applications, International Journal of Advanced Manufacturing Technology, 18, 2001, pp.648-656.

DOI: 10.1007/s001700170025

[7] M. Lalanne, G. Ferraris, Rotordynamics prediction in Engineering, Wiley, (2001).

[8] Dron, J-P., Bolaers, F., Rasolofondraibe, L., Improvement of the sensibility of scalars indicators thanks to de-noising method by spectacle subtraction, Application to the detection ball bearing defects,. Journal of Sound Vibration, 270, (4), 2004, pp.61-73.

DOI: 10.1016/s0022-460x(03)00483-8

[9] Mobley, R-K., Root Cause Failure Analysis, (Plant Engineering Maintenance Series), Butterworth-Heineman, (1999).

[10] C. F. Bisu, M. Zapciu, A. Gérard, V. Vijelea, M. Anica, New approach of envelope dynamic analysis for milling process, Eighth International Conference on High Speed Machining, Metz, France, Dec. 8-10, (2010).

DOI: 10.1007/s00170-011-3814-4

[11] Arnaud, L. and Gonzalo, O. and Seguy, S. and Jauregi, H. and Peigné, G., Simulation of low rigidity part machining applied to thin-walled structures, International Journal of Advanced Manufacturing Technology, 54, 2011, pp.479-488.

DOI: 10.1007/s00170-010-2976-9

[12] Zaghbany, I. and Songmene, V., Estimation of machine-tool dynamic parameters during machining operation through operational modal analysis, International Journal of Machine Tools & Manufacture, 49, (12-13), 2009, p.947–957.

DOI: 10.1016/j.ijmachtools.2009.06.010

[13] Al-Dossary, S, Hamzah, R.I.R., Mba, D., Observations of changes in acoustic emission waveform for varying seeded defect sizes in a rolling element bearing, Journal of Applied Acoustics 70, (1), 2009, p.58–81.

DOI: 10.1016/j.apacoust.2008.01.005

[14] R. Yan, R. X. Gao, Multi-scale enveloping spectrogram for vibration analysis in bearing defect diagnosis, Tribology International 42, 2009, p.293–302.

DOI: 10.1016/j.triboint.2008.06.013

[15] T. Kalvoda; Y.R. Hwang; A cutter tool monitoring in machining process using Hilbert-Huang transform, International Journal of Machine Tools and Manufacture, 50, (5), 2010, pp.495-501.

DOI: 10.1016/j.ijmachtools.2010.01.006

[16] V. Gagnol, T-P. Le, P. Ray, Modal identification of spindle-tool unit in high-speed machining, Mechanical Systems and Signal Processing, 25, (11), 2011, pp.2388-2398, doi: 10. 1016/j. ymssp. 2011. 02. 019.

DOI: 10.1016/j.ymssp.2011.02.019

[17] X. Wang, Numerical Implementation of the Hilbert Transform, Thesis, University of Saskatchewan, Saskatoon, (2006).

[18] Mba, D. and Rao, R-B-K-N., Development of acoustic emission technology for condition monitoring and diagnosis of rotating machines: bearings, pumps, gearboxes, engines, and rotating structures, International Journal of Machine Tools & Manufacture, 45, 2005, pp.1295-1300.

DOI: 10.1177/0583102405059054

[19] F. Girardin, Etude de l'usinage de matériaux performants et surveillance de l'usinage, Thesis Institut National de Sciences Appliquées de Lyon, (2010).

[20] X. Chiementin, Localisation et quantification des sources vibratoires dans le cadre d'une maintenance préventive conditionnelle en vue de stabiliser le diagnostic et le suivi de l'endommagement des composants mécaniques tournants : application aux roulements à billes, Thesis Université de Reims Champagne Ardenne, (2007).

DOI: 10.30875/9789287073624c008

[21] C.F. Bisu, P. Darnis, A. Gérard, J-Y K'nevez, Displacements analysis of self-excited vibrations in turning, International Journal of Advanced Manufacturing Technology, Springer London, 44, (1-2), 2009, pp.1-16.

DOI: 10.1007/s00170-008-1815-8

[22] O. Cahuc, J-Y. K'nevez, A. Gérard, P. Darnis, G. Albert, C. F. Bisu, C. Gérard, Self-excited vibrations in turning: cutting moment analysis, International Journal of Advanced Manufacturing Technology, 47, (1-4), 2010, pp.217-225.

DOI: 10.1007/s00170-009-2189-2