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Machine tool spindle accuracy prediction method

A technology of machine tool spindle and accuracy prediction, applied in measuring/indicating equipment, metal processing mechanical parts, metal processing equipment, etc., can solve the problems of enterprise economic loss, long spare parts cycle, disadvantage, etc., to reduce downtime and save enterprise costs , the effect of reducing business losses

Inactive Publication Date: 2013-01-02
SOUTHWEST JIAOTONG UNIV
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AI Technical Summary

Problems solved by technology

When the accuracy of the machine tool spindle fails to meet the requirements, it must be repaired, and sometimes related parts need to be replaced. However, due to the long cycle of spare parts, it will cause long-term shutdown of the machine tool and bring huge economic losses to the enterprise.
At the same time, the accuracy of the machine tool spindle cannot be monitored online, and it is not conducive for operators to analyze the reasons for the decline in the accuracy of the machine tool spindle, so that its operation and maintenance have a certain degree of blindness, reducing the service life of the machine tool spindle

Method used

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  • Machine tool spindle accuracy prediction method

Examples

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Embodiment

[0045] A method for predicting the accuracy of a machine tool spindle, the steps of which are as follows:

[0046] (1) Install the test machine tool spindle whose accuracy meets the requirements on the machine tool, and install the vibration sensor on the box of the machine tool spindle;

[0047] In this example, the vibration sensor is the 8762A50 three-way vibration sensor from Kistler, Switzerland. The installation position of the vibration sensor can be: two 8762A50 three-way vibration sensors are installed on the two end faces of the front end of the main shaft and the end of the main shaft, and each end face The angle between the two sensors and the center of the end face is 90 degrees, and each sensor outputs three-channel vibration signals.

[0048] (2) Start the machine tool to make the machine tool run under standard working conditions. When the set time interval is reached, use the vibration sensor to collect the vibration signal of the main shaft of the test machin...

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Abstract

The invention relates to a machine tool spindle accuracy prediction method which comprises the following steps: performing whole-process monitoring on accuracy degradation and a vibration signal of a spindle of a test machine tool under common working conditions, using the monitoring results for training an accuracy degradation neural network having an associative memory function, and accurately obtaining a mapping relationship between the sensitive characteristic of the vibration signal of the spindle of the machine tool and the accuracy; and then, inputting the sensitive characteristic of the current vibration signal of a spindle of an actual in-service machine tool, which is the same with the spindle of the test machine tool in type and specification, into the accuracy degradation neural network to obtain the current accuracy of the spindle of the actual in-service machine tool, thus realizing the on-line prediction of the accuracy of the spindle of the actual in-service machine tool. According to the accuracy degradation tendency of the spindle of the machine tool, related parts of the spindle of the machine tool can be purchased in advance when the accuracy value approximately can not meet the specified requirement, thereby reducing the downtime of the machine tool, lowering the enterprise loss and saving the enterprise cost. Besides, the invention also can provide effective basis and instructions in aspects of analysis, judgment, maintenance and servicing for operating personnel, thereby prolonging the service life of the spindle of the machine tool.

Description

technical field [0001] The invention relates to the field of mechanical system state monitoring and fault diagnosis, in particular to a method for predicting the accuracy of a machine tool spindle. Background technique [0002] The spindles of CNC machine tools mainly include mechanical spindles and electric spindles. The mechanical spindle is usually composed of the main shaft, the main shaft bearing, the automatic clamping mechanism of the workpiece or the tool and other components; the electric spindle integrates the machine tool main shaft and the main shaft motor, and the machine tool main shaft is directly driven by the built-in motor, realizing the integration of the motor and the machine tool main shaft change. [0003] In recent years, with the implementation of the national equipment manufacturing revitalization plan and the development strategy of CNC machine tools, enterprises have become more and more dependent on CNC machine tools. The working accuracy of the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B23Q17/00B23Q17/12
Inventor 高宏力张筱辰黄海凤郭亮许明恒燕继明郭志平陈晨赵彬
Owner SOUTHWEST JIAOTONG UNIV
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