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On-line prediction method of micro-milling chatter

A prediction method and micro-milling technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as weak dynamic signals, difficult chatter characteristics, and large influence of processing parameters, so as to improve real-time performance, The effect of simplifying modules

Inactive Publication Date: 2016-07-27
CHANGZHOU COLLEGE OF INFORMATION TECH
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Problems solved by technology

One of the reasons is that the cutting mechanism of micro-milling is greatly affected by the processing parameters, which leads to more complex and variable dynamic signals in the processing process; in addition, because the cutting amount belongs to the microscopic scale, the dynamic signals are weak, which is not conducive to chatter feature extraction and online monitoring
In view of this, it is difficult for a single sensor signal to accurately describe the chatter characteristics of the complex micro-milling process. Studies have shown that multi-sensor signals can more comprehensively reflect the dynamic changes in the machining process, but the denoising and feature extraction of multi-sensor signals requires much computation. Larger, it poses a serious challenge to the real-time performance of the flutter monitoring system

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[0022] The terms "first", "second", etc. are used for descriptive purposes only and should not be construed as indicating or implying relative importance. In the description of the present invention, it should be noted that unless otherwise specified and limited, the terms "connected" and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral Ground connection; it can be mechanical connection or electrical connection; it can be direct connection or indirect connection through an intermediary. Those of ordinary skill in the art can understand the specific meanings of the above terms in the present invention in specific situations. In addition, in the description of the present invention, unless otherwise specified, "plurality" means two or more.

[0023] The present invention provides a kind of on-line prediction method of micro-milling chatter, obtains the monitoring signal in the process of micro-...

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Abstract

The invention provides an on-line prediction method of micro-milling chatter. A monitoring signal in a micro-milling machining process is obtained through a sensor, wherein the monitoring signal comprises a cutting force signal, a sound signal and an accelerated speed signal. The on-line prediction method of the micro-milling chatter comprehensively utilizes the milling force, the accelerated speed and the sound signal of the micro-milling machining process to represent a machining state, the on-line monitoring of the micro-milling machining process and the early prediction of the milling chatter are realized through a multichannel singular spectrum analysis algorithm and a GHMM (General Hidden Markov Model), a necessary technical means is provided for chatter inhibition research, so that a monitoring system module is greatly simplified, and the instantaneity of a machining state monitoring system is obviously improved.

Description

technical field [0001] The invention relates to the technical field of chatter monitoring, in particular to an online prediction method for micro-milling chatter. Background technique [0002] Research on online monitoring of cutting chatter mainly focuses on conventional processing methods such as turning, milling, and boring, while research on online monitoring of cutting chatter in micro-milling is less. One of the reasons is that the cutting mechanism of micro-milling is greatly affected by the processing parameters, which leads to more complex and variable dynamic signals in the processing process; in addition, because the cutting amount belongs to the microscopic scale, the dynamic signals are weak, which is not conducive to chatter feature extraction and online monitoring. In view of this, it is difficult for a single sensor signal to accurately describe the chatter characteristics of the complex micro-milling process. Studies have shown that multi-sensor signals can ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
CPCG16Z99/00
Inventor 王二化裴志坚赵黎娜
Owner CHANGZHOU COLLEGE OF INFORMATION TECH
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