Cepstrum analysis-based chatter online monitoring method
A cepstrum and flutter technology, applied in the field of online flutter monitoring based on cepstrum analysis, can solve the problem that the flutter monitoring method cannot obtain reliable flutter characteristics, etc., and achieve the effect of preventing damage and accurately identifying
Active Publication Date: 2016-10-12
CHANGZHOU COLLEGE OF INFORMATION TECH
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Problems solved by technology
[0003] The technical problem to be solved by the present invention is: in order to solve the problem that the existing chatter monitoring method cannot obtain reliable chatter characteristics, the present invention provides a chatter online monitoring method based on cepstrum analysis to solve the above problems
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[0022] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention. On the contrary, embodiments of the present invention include all changes, modifications and equivalents falling within the spirit and scope of the appended claims.
[0023] In describing the present invention, it should be understood that the terms "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", " Back", "Left", "Right", "Vertical", "Horizontal", "Top", "Bottom", "Inner", "Outer", "Axial", "Radial", "Circumferential", etc. The indicated orientation or positional relationship is based on ...
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The invention provides a cepstrum analysis-based chatter online monitoring method. An acceleration signal in a vertical milling cutting process is acquired through an acceleration sensor mounted on a spindle of a vertical milling machine and is expressed as X=[x(1), x(2), ..., x(n)], wherein n represents the length of a signal, and the acceleration signal includes a stable-state signal, a transitional-state signal and a chatter-state signal. Based on wavelet packet decomposition and cepstrum analysis methods, the cepstrum analysis-based chatter online monitoring method comprises the steps of firstly, performing wavelet packet decomposition on the acceleration signal obtained in a cutting experiment, reconstructing decomposed frequency band signals, calculating energy of the frequency band signals, and determining a chatter occurrence frequency domain range; and secondly, performing cepstrum analysis on the chatter occurrence frequency band signals, and taking a cepstrum mean square root as a chatter characteristic. Compared with a conventional chatter monitoring method, the cepstrum analysis-based chatter online monitoring method has the advantages that a symptom of cutting chatter can be discovered more early and accurate identification can be realized on the eve of strong chatter to prevent irretrievable damage of strong vibration to workpieces and machine tool parts.
Description
technical field [0001] The invention relates to the technical field of machine tool processing, in particular to an online chatter monitoring method based on cepstrum analysis. Background technique [0002] The research on the mechanism of cutting chatter can be traced back to 1946. In the early stage of research, it was believed that the occurrence of chatter was mainly due to the negative damping of the cutting system. With the deepening of research, it is found that cutting chatter is mainly caused by regenerative and modal coupling effects, and the regenerative effect has become the main cause of chatter, which is usually referred to as regenerative chatter. Chatter during end milling can seriously affect workpiece surface quality and material removal rate, increase tool wear and worsen the working environment. Although most chatter monitoring systems can detect the occurrence of chatter, serious damage to workpieces and tools has already occurred when chatter occurs. T...
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Login to View More IPC IPC(8): G06F19/00B23Q17/12
CPCB23Q17/12B23Q2717/006G16Z99/00
Inventor 王二化朱俊赵黎娜
Owner CHANGZHOU COLLEGE OF INFORMATION TECH