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Milling vibration stability predicating method based on process damping effect

A technology of stability prediction and milling chatter, which is applied in special data processing applications, program control, instruments, etc., can solve the problems of less research and achieve the effect of improving accuracy and production efficiency

Active Publication Date: 2016-05-25
NORTHEASTERN UNIV
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Problems solved by technology

[0003] The research on the process damping effect is mainly concentrated in the literature of foreign experts and scholars, and there are relatively few domestic researches in this field.

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  • Milling vibration stability predicating method based on process damping effect
  • Milling vibration stability predicating method based on process damping effect
  • Milling vibration stability predicating method based on process damping effect

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Embodiment Construction

[0035] The specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0036] The present invention provides a milling chatter stability prediction method based on the over-damping effect, which decomposes the vibration of the tool into radial reciprocating vibration and tangential linear motion, and calculates within one vibration period of the cutter tooth. The work done by the intrusion force that intrudes into the machined surface of the workpiece is then multiplied by the number of complete vibration ripples in one rotation cycle of the tool, and the nonlinear damping is equivalent to linear damping by using the principle of energy equivalence, and the frequency domain method is used to solve the chatter stability The lobe map enables efficient and accurate prediction of depth-of-cut limits for chatter stability during low-speed milling. Therefore, it provides theoretical guidance for optimizing cutting ...

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Abstract

The invention provides a milling vibration stability predicating method based on the process damping effect. According to the method, in the milling process of a workpiece, the geometric structure parameter of a milling tool and the dynamic parameter in the milling process are obtained, the total energy generated by ploughing and milling force in the workpiece milling process in one cutter tooth rotation cycle is determined, the damping coefficient of the equivalent linear process is obtained through the law of conservation of energy, equivalent linear process damping is converted into equivalent process damping in the x direction and equivalent process damping in the y direction, the equivalent process damping coefficient in the x direction and equivalent process damping coefficient in the y direction are input into a milling dynamics equation, a milling dynamics model based on the process damping effect is obtained, a ZOA method is adopted to solve the milling dynamics model based on the process damping effect, and a vibration stability model based on the process damping effect is obtained, so that relation between extreme stability cutting depth and the cutter rotation speed is obtained, and a vibration stability steel lobe diagram based on the process damping effect is drawn.

Description

technical field [0001] The invention belongs to the field of mechanical processing, and in particular relates to a method for predicting milling flutter stability based on an over-damping effect. Background technique [0002] Milling is widely used in industries such as aerospace molds, and regenerative chatter is one of the main constraints to improving production efficiency. The development of high-speed machining theory avoids the occurrence of chatter by selecting the spindle speed to synchronize the cutting frequency of the cutter teeth with the chatter frequency. The classic chatter lobe map provides accurate stability predictions during high-speed milling stages with high material removal rates. However, in the low-speed machining stage, due to the existence of a large number of complete vibration wavelengths within one rotation cycle of the spindle, the lobe diagram is too dense, so that the classical chatter theory is often unable to accurately predict the stabilit...

Claims

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Application Information

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IPC IPC(8): G06F17/50G05B19/406
CPCG05B19/406G06F30/367
Inventor 朱立达刘宝光刘长福丁洋李兆斌金慧成于天彪巩亚东王宛山
Owner NORTHEASTERN UNIV
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