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Numerically-controlled machine tool spindle health degree quantitative evaluation method

A technology for health degree and quantitative evaluation, applied in complex mathematical operations, computer-aided design, geometric CAD, etc., to achieve the effect of simple operation, avoidance of losses, and convenient parameter modification

Pending Publication Date: 2020-09-04
东莞先知大数据有限公司
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Problems solved by technology

[0004] In view of this, in view of the problems existing in the maintenance and repair of the existing machine tool spindles, the present invention provides a quantitative evaluation method for the health degree of the CNC machine tool spindles. By collecting and analyzing data on the machine tool spindles, a predictive formula is established to monitor the health status of the spindles in real time. Prediction, quantify the health status of the spindle, and visually display it, so as to effectively solve the problems existing in the above technical background

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  • Numerically-controlled machine tool spindle health degree quantitative evaluation method
  • Numerically-controlled machine tool spindle health degree quantitative evaluation method
  • Numerically-controlled machine tool spindle health degree quantitative evaluation method

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Embodiment Construction

[0039] The present invention will be further described below through specific embodiments in conjunction with the accompanying drawings. These embodiments are only used to illustrate the present invention, and are not intended to limit the protection scope of the present invention.

[0040] S1, calculate the characteristic index after removing the noise from the collected vibration signal and voltage signal generated by the spindle in the working state of the machine tool, and then obtain the current health index of the equipment according to the formula;

[0041] S2, substituting the health index into the formula to solve the equation to obtain the service life of the main shaft of the current equipment;

[0042] S3, putting the service life into the formula to obtain the health prediction formula of the equipment.

[0043] In said step S1, C S = 1.2C P =1.71C f =2.46C St = 0.43 C = 3.67 N = 2.5

[0044] Get AI=3.6 EI=4.1 SI=2.01 RI=1.53, substitute into the formula, s=A...

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Abstract

The invention discloses a numerical control machine tool spindle health degree quantitative evaluation method. The method comprises the steps that S1, after noise of collected vibration signals and voltage signals generated by a spindle in the working state of a machine tool is removed, calculating characteristic indexes, and then obtaining the current health indexes of equipment according to a formula; S2, substituting the health index into a formula solution equation to obtain the service life of the main shaft of the current equipment; and S3, putting the service life into a formula to obtain a health prediction formula of the equipment. The health condition of the machine tool spindle can be effectively predicted and quantitatively displayed, equipment faults are prevented in advance,the working period of equipment is prolonged, factory economic losses caused by untimely maintenance of components are avoided, and the method can be suitable for various working environments and is wide in applicability.

Description

technical field [0001] The invention relates to the technical field of numerical control machining and the technical field of data analysis, in particular to a quantitative evaluation method for the health degree of a spindle of a numerical control machine tool. Background technique [0002] The spindle of a machine tool refers to the axis on the machine tool that drives the workpiece or tool to rotate. In the process of industrial production, the aging and damage of the spindle will affect the overall operation of the equipment and have a huge impact on the quality of the product and production sales. In severe cases, it will cause Stop production. At present, the repair and maintenance of machine tool components adopts after-the-fact maintenance or regular inspection. After-the-fact maintenance is to check and repair the equipment in real time when the equipment fails or abnormal work is found. Regular inspection is to check after the equipment has been running for a perio...

Claims

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Application Information

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IPC IPC(8): G06F30/17G06F17/11G06F119/04
CPCG06F17/11
Inventor 梁帆余旸吴书睿
Owner 东莞先知大数据有限公司
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