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A data-driven self-monitoring method for cutting force of CNC machine tools

A data-driven, CNC machine tool technology, applied in the field of CNC machine tools, can solve the problems of cumbersome sub-model identification process, limited prediction accuracy, complexity, etc., to ensure effectiveness and reliability, reduce data dependence, and good interpretability Effect

Active Publication Date: 2022-05-31
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The patent "Cutting Status Monitoring System Based on Current Signal of CNC Milling Machine Spindle Servo Motor" proposes to use the spindle servo current and convert it according to a simple mechanism relationship, but this method requires separate identification of model parameters, and theoretically it can only be obtained. The cutting torque on the upper limit, and the accuracy is limited; the paper "Prediction of Cutting Forces in Five-Axis Milling Using Feed Drive Current Measurements" defines the most complete mechanism model for predicting the cutting force from the servo monitoring signal, but the identification of all the sub-models The process is cumbersome and complicated, and the final prediction accuracy is limited

Method used

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  • A data-driven self-monitoring method for cutting force of CNC machine tools
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  • A data-driven self-monitoring method for cutting force of CNC machine tools

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Embodiment Construction

[0027] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0031]

[0035] As shown in Figures 1-6.

[0037] The forward transmission process of the cutting force to the motor response is shown in FIG. 1 . The drive motor for each feed axis overcomes

[0041]

[0042] K

[0044] h

[0045]

[0049] The mechanism of inversely calculating the cutting force from the servo monitoring signal is shown in FIG. 2 . Response cutting torque τ

[0054] F

[0056] F

[0058] F

[0060]

[0061] f

[0062] F

[0065] h

[0066] h

[0067] NN

[0068] h

[0069]

[0070] NN

[0072] h

[0073] NN

[0076] The part that the present invention does not involve is identical to the prior art and is implemented by using the prior art.

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Abstract

A data-driven self-monitoring method for the cutting force of CNC machine tools, which is characterized in that the servo motor drive current and motion state signals of each feed axis of the machine tool are monitored, and the above-mentioned servo monitoring signals are constructed by using a pure data-driven model or a mechanism-data hybrid drive model. The nonlinear dynamic prediction model of force, input the above-mentioned servo monitoring signal to it during actual processing and perform iterative prediction to obtain real-time cutting force. The invention monitors the servo signal of the feed axis of the machine tool in real time through the built-in sensor of the numerical control system, and can realize the self-monitoring of the cutting force of the machine tool without external sensors by inputting the prediction model, and has great potential for popularization and application in the actual industrial production process.

Description

A data-driven self-monitoring method of CNC machine tool cutting force technical field The present invention relates to numerical control machine tool technical field, especially numerical control machine tool processing state monitoring technology, specifically a A method for realizing cutting force self-monitoring using servo monitoring signals of CNC machine tools. Background technique [0002] CNC machine tools are widely used in the manufacture of high-end mechanical products in the fields of aerospace, energy, and rail transit. The key technical equipment of the country's manufacturing capacity. Monitoring the machining status of machine tools is essential to ensure high-quality and efficient machining important. The essence of the CNC machine tool cutting process is that the workpiece material is separated and removed under the action of the cutting force, so the cutting force has no effect on the cutting force. It has high sensitivity and fast response abilit...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B19/416
CPCG05B19/416G05B2219/34169Y02P70/10
Inventor 李迎光刘旭程英豪蔡宇郝小忠
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS