2013
DOI: 10.1590/s1679-78252013000100013
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Abstract: The modern massive production cannot most often exist without the machining technology. The problems of dynamical instabilities of cutting process and associated harmful chatter vibrations were known for many years.The recent development of cutting and milling concepts and techniques gave way to improve the process stability in fairly high speed cutting [1]. Consequently, identification of the chatter oscillations, and their elimination or even stabilization on some low level have become a high interest in sci… Show more

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Cited by 26 publications
(17 citation statements)
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References 17 publications
(27 reference statements)
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“…This behaviour may indicate on a non-smooth milling or/and an emergence of the so-called vibration type chatter, with a considerable increase in the amplitude. Each of vector components of the acceleration vector A(t) can be decomposed into the empirical modes Ai 1 (t), Ai 2 (t), ..., Ai m (t) [9][10][11] (Fig. 2a-c).…”
Section: Hilbert-huang Analysismentioning
confidence: 99%
“…This behaviour may indicate on a non-smooth milling or/and an emergence of the so-called vibration type chatter, with a considerable increase in the amplitude. Each of vector components of the acceleration vector A(t) can be decomposed into the empirical modes Ai 1 (t), Ai 2 (t), ..., Ai m (t) [9][10][11] (Fig. 2a-c).…”
Section: Hilbert-huang Analysismentioning
confidence: 99%
“…From these reasons there is a need to use automatic supervision systems which could diagnose the process online and change the cutting parameters when some symptoms of process instabilities appear [5][6][7][8][9]. Moreover, some papers focus on different methods of chatter identification directly from workpiece displacement or cutting force signals [3,[10][11][12][13][14]. This paper deals with the problem of stability limit prediction of chatter vibrations in milling process of Inconel 625 on the basis of experimental measurements of cutting force components.…”
Section: Introductionmentioning
confidence: 99%
“…Wang and Mcfadden (1996) were able to detect the fault of helicopter gearbox by using the wavelet method. Litak (2013) tried to study the response of milling process with variable depth. They used the continue wavelet map, which was composed of convolution mean force response with modulated Morelet wavelet with Gaussian function and Hilbert Haung transform.…”
Section: Introductionmentioning
confidence: 99%