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Parallel frequency domain method based on thin-wall workpiece milling flutter stability prediction

A technology of stability prediction and milling chatter, which is used in measuring/indicating equipment, metal processing mechanical parts, program control, etc.

Active Publication Date: 2017-06-06
NORTHEASTERN UNIV
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Problems solved by technology

Current prediction methods cannot accurately predict chatter stability in milling of thin-walled parts

Method used

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  • Parallel frequency domain method based on thin-wall workpiece milling flutter stability prediction
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  • Parallel frequency domain method based on thin-wall workpiece milling flutter stability prediction

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Embodiment Construction

[0137] Such as Figure 1-Figure 6 As shown, a parallel frequency-domain method for prediction of milling chatter stability based on thin-walled parts has the following steps:

[0138] S1. Divide the machining process into several stages, and obtain the modal parameters of the tool and the modal parameters of the thin-walled parts at the beginning of each stage through modal experiments.

[0139] Said step S1 comprises the following steps:

[0140] S11, the processing process is divided into 3 stages, 0 stage, 1 stage, 2 stages, the shape of the thin-walled parts in each stage is as follows figure 2 shown.

[0141] S12. Conduct modal experiments on different shapes of thin-walled parts at various stages,

[0142] Install the knife into the handle. Install the dynamometer on the machine tool platform, because the dynamometer will be installed in the follow-up experiment, so in order to maintain the consistency of the modal data, the dynamometer should also be installed when...

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Abstract

The invention discloses a parallel frequency domain method based on thin-wall workpiece milling flutter stability prediction. The method includes the following steps: obtaining modal parameters of a cutter and modal parameters of a thin-wall workpiece; establishing a transfer function; establishing a motion differential equation in a frequency domain during milling of the thin-wall workpiece; obtaining flutter stability critical axial cutting depths of milling of the thin-wall workpiece at different milling cutter main shaft rotating speeds; and drawing a flutter stability lobe graph and a three-dimensional flutter stability lobe graph. During the whole machining process, the method considers time variations of a milling process in one tooth period, time variations of all-order inherent frequencies, rigidity and damping ratios of the thin-wall workpiece, and modals of the cutter and the thin-wall workpiece. Therefore, the method can predict flutter of milling of the thin-wall workpiece in a more accurate and real manner. Through combination of the parallel computing theory, the computing time shortens by times along with increases of the number of threads. Therefore, the method is highly efficient.

Description

technical field [0001] The invention belongs to the technical field of thin-walled parts milling stability prediction technology, in particular to a parallel frequency domain method based on thin-walled parts milling chatter stability prediction. Background technique [0002] Among the many factors that affect the surface quality of milling and slow down the milling speed, chatter is the most important factor. Unlike ordinary workpieces, thin-walled parts have extremely poor rigidity and are more prone to chatter. Therefore, chatter stability Prediction theory method is of great significance for milling of thin-walled parts. [0003] The milling process is constantly changing within a tooth cycle, and this time-varying nature within the tooth cycle needs to be considered. During the entire machining process, with the material removal and shape change of the thin-walled workpiece, the various stages of the workpiece The natural frequency, stiffness, and damping ratio are als...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B19/408B23Q17/12
CPCB23Q17/12G05B19/4086G05B2219/35356
Inventor 朱立达敦艺超王书豪王润琼倪陈兵于嘉鹏温泉杨建宇李虎温雪龙黎柏春
Owner NORTHEASTERN UNIV
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