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Evaluation method for operation reliability of milling cutter

A milling processing and reliability technology, applied in the direction of manufacturing tools, metal processing equipment, metal processing machinery parts, etc., can solve the problems of reducing the processing quality, affecting the processing accuracy and surface roughness of the workpiece, affecting the safety and normal operation of the processing system, etc.

Active Publication Date: 2013-08-28
阜宁锦宇塑业有限公司
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Problems solved by technology

However, tool wear is unavoidable in machining. It will directly affect the machining accuracy and surface roughness of the workpiece, which not only reduces the machining quality, but also affects the safety and normal operation of the machining system in severe cases.

Method used

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  • Evaluation method for operation reliability of milling cutter
  • Evaluation method for operation reliability of milling cutter
  • Evaluation method for operation reliability of milling cutter

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Embodiment Construction

[0019] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. The method of the invention first collects the current signals of the main shaft and the feed shaft of the processing machine tool through the Hall sensor, then uses the wavelet analysis method to perform feature extraction, and then performs parameter estimation through the continuous hidden semi-Markov model, and uses the Chepman-Kolmo Gorlov's differential equation calculates the operational reliability level of milling tools to provide decision support for preventive maintenance.

[0020] Such as figure 1 Shown, the present invention comprises the following steps:

[0021] The first step is to determine the running state of the milling tool.

[0022] According to the design data and use history of the milling tool, determine the total number M of its operating status. Milling tool running state set is expressed as S={S 1 ,S 2 ,...,S m ...

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Abstract

The invention discloses an evaluation method for the operation reliability of a milling cutter. According to the method, machining tool spindle and feed shaft three-phase current signals are acquired through a Hall sensor, time domain mean characteristics and tooth frequency energy characteristics are extracted through wavelet analysis, an observation vector output function: a mixed Gaussian distribution density function, is obtained through a mean algorithm aimed at characteristic vectors, a continuous 'hidden semi-Markov model' is trained through a Baum-Welch algorithm to obtain a parameter estimation result, and the operation reliability level of the middling cutting is calculated through a Chapman-Kolmogorov differential equation. According to the evaluation method, decision support is provided for preventive maintenance of milling cutters.

Description

technical field [0001] The invention relates to a method for evaluating the running reliability of a milling tool. technical background [0002] In modern manufacturing, the condition of the tool is very important to ensure the quality of processing and improve productivity. However, tool wear is unavoidable in machining. It will directly affect the machining accuracy and surface roughness of the workpiece, which not only reduces the machining quality, but also affects the safety and normal operation of the machining system in severe cases. Therefore, good tool condition has become a necessary condition in modern machinery manufacturing and automatic processing, and it is also a key technology to ensure the quality of processed workpieces. However, manual judgment of tool status has become an important bottleneck restricting the development of the manufacturing industry. Therefore, it is urgent to design and develop a new method for intelligent monitoring and automatic eval...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B23Q17/09
Inventor 刘繁茂彭佑多毛征宇
Owner 阜宁锦宇塑业有限公司
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