Cen et al. [16] presented a discrete wavelet transform (DWT)-based online chatter detection algorithm and chatter suppression strategy applied to robot milling. Tao et al. [17] proposed a novel ...

Milling chatter monitoring under variable cutting conditions based on time series features ... the milling stability is investigated by the following 12 ... (2017) Online chatter detection of the end milling based on wavelet packet transform and support vector machine recursive feature elimination. Int J Adv Manuf Technol 95(1 …

In this paper, aiming to chatter monitoring in thin-walled structure milling, a variational mode decomposition – energy distribution (VMD-ED) method is proposed to …

Tangjitsitcharoen et al. [12, 23] proposed to use wavelet transform to monitor the ball head milling process. Before the wavelet transform, the dynamic milling force is decomposed into four levels ...

To assess the grinding stability, two chatter indicators, i.e. normalized spectral entropy and logarithmic spectrum distance based on the cross wavelet transform spectrogram were devised.

The wavelet transform decomposes the signal into a series of sub-signals and the original signal can be perfectly reconstructed using the wavelet coefficients. These sub-signals then can be used for feature extraction. Kuljanic et al. proposed a multisensory system for milling chatter detection using the wavelet method [8], [15]. In their works ...

Induced by the regeneration mechanism, chatter vibration that has adverse effects on surface finish and productivity could occur in most cutting processes. Therefore, accurately predicting chatter and taking timely suppression measures are desperately needed. This work develops a semi-analytical Legendre wavelet–based stability …

Gao et al. [10] proposed the method of cmor continuous wavelet transform (CMWT) based on acoustic signals for detecting the milling chatter of thin-walled parts and analyzed the results of chatter ...

HUANG et al. identified chatter through milling force and not only obtained the frequency of chatter but also obtained the influence of milling force on chatter. Feng et al. used fast Fourier transform and wavelet transform to analyze the milling force signal to detect whether chatter occurred. The accuracy of the method was verified by the ...

And, short time Fourier transform (STFT), Stockwell transform, and wavelet transform are widely applied for analyzing the signals obtained in machining processes. Kolluru and Axinte [27] used the STFT for analyzing the vibrations to detect chatter in milling and combined with FFT results. In their work, a coupled dynamic response of …

This article concerns the chatter detection and stability region acquisition in thin-walled workpiece milling based on CMWT, which combines the advantages of the …

Cao HR, Lei Y, He Z (2013) Chatter identification in end milling process using wavelet packets and Hilbert-Huang transform. Int J Mach Tools Manuf 69:11–19. Article Google Scholar Cao HR, Zhou K, Chen X (2015) Chatter identification in end milling process based on EEMD and nonlinear dimensionless indicators.

Chatter vibrations in machining operations affect surface finishing and tool behaviour, particularly in the end-milling of aluminum parts for the aerospace industry. This paper presents a methodological approach to identify chatter vibrations during manufacturing processes. It relies on wavelet analyses of cutting force signals during …

The wavelet transform decomposes the signal into a series of sub-signals and the original signal can be perfectly reconstructed using the wavelet coefficients. These sub-signals then can be used for feature extraction. Kuljanic et al. proposed a multisensory system for milling chatter detection using the wavelet method [8], [15].

Qin et al. [6] developed a novel milling stability prediction method based Chebyshev-wavelet to identify the tool chatter, and the method is compared with the representative existing methods. Lou ...

The wavelet transform can detect the occurrence of chatter to a certain extent, but how to choose the optimal wavelet base and the number of signal decomposition layers is a difficult research point, and …

Results showed that fast Fourier transform and the time-domain root mean square (RMS) value of acoustic emission signals could be effectively used for detection …

Abstract. The nonlinear dynamic behavior of milling process has been accompanied by the entire cutting process. In order to accurately determine and predict …

In order to avoid chatter, a milling chatter identification method based on dynamic wavelet packet decomposition (WPD) is proposed from the perspective of signal processing. The dynamic …

In this paper, a new method based on combination of wavelet packet energy entropy and energy ratio is proposed to monitor chatter. By detecting the energy ratio of …

This paper presents a methodological approach to identify chatter vibrations during manufacturing processes. It relies on wavelet analyses of cutting force signals during milling operations. The cutting-force signal is first decomposed into an approximation/trend sub-signal and detailed subsignals, and it is then re-composed using modified ...

Before wavelet transform, the dynamic milling force signal is decomposed into four sub-signals in a certain proportion. Cao et al. (2013) proposed a chatter recognition method based on wavelet transform and Hilbert-Huang transform. Taking the Hilbert-Huang spectrum as chatter index, the signal was analyzed by wavelet …

Chatter is very harmful to precision machining process. To avoid cutting chatter effectively, a method based on wavelet and support vector machine is presented for chatter identification before it has fully developed. Wavelet transform, which can image the information in both the time and frequency domain, is applied as an amplification for …

In the milling process, the chatter detection method combining VMD and energy entropy is put forward in this paper and is verified by the simulation signal and the actual milling signal. Among this method, the method based on the kurtosis is firstly proposed to select automatically VMD parameters. Then to automatically obtain the …

In this article, a novel chatter-detection method based on wavelet coherence functions is proposed to evaluate the stability of the micro-end-milling process. Then, the method is experimentally ...

Empirical Wavelet Transform (EWT) has shown its effectiveness in some applications. However, when noisy and non-stationary signals are analyzed, some local maxima may appear and be retained in the ...

A chatter recognition method based on wavelet and support vector machine was proposed. The standard deviations of wavelet transform and wavelet packet energy were used to construct two-dimensional feature vectors for chatter detection. Support Vector Machine (SVM) was designed for pattern classification based on feature vectors .

Predicting chatter stability in a micro-milling operation is challenging since the experimental identification of the tool-tip dynamics is a complicated task. ... Undecimated wavelet transform is ...

There has been extensive research on chatter stability in milling by many researchers, such as by Altintas and co-workers [16, 271,272,273,274,275]. In milling, chatter occurs in a bandwidth close to a natural frequency or its harmonics. ... In contrast, the wavelet transform (WT) converts the information into a group of wave-like signals, …

Wavelet analysis provides a spectral-temporal approach to identify the dominant modes of variability in a time series and to delineate how these modes vary over time [8, 9, 13] The continuous wavelet transform (CWT) of the time series Fx(n) with respect to a mother wavelet ψ(t) is given by the convolution of the time series with a scaled and ...