A multi-sensor based vibration cutting machining diagnosis system and method

Abstract

The invention belongs to the technical field of vibration cutting, and discloses a multi-sensor-based vibration cutting processing diagnosis system and method. The multi-sensor-based vibration cutting processing diagnosis system includes: a power supply module, a noise detection module, a cutting force measurement module, an operation module, a main control module, a processing parameter setting module, a data judgment module, a data denoising module, an ultrasonic module, a cutting module, and a display module. The present invention uses performance parameters such as electronic control data to reflect the characteristics of processing effects such as processing quality and processing efficiency of the workpiece through the data judgment module, and determines whether the corresponding cutting data is reasonable according to the performance parameters, and thus stores the reasonable cutting data in the cutting database. At the same time, the data denoising module can theoretically guarantee a 100% denoising rate; through the software preprocessing of the tool path data in the CNC cutting process, the real-time denoising of the tool path data can be realized, and the processing efficiency of the workpiece can be improved.

Description

technical field [0001] The invention belongs to the technical field of vibration cutting, and in particular relates to a multi-sensor-based vibration cutting processing diagnosis system and method. Background technique [0002] Vibration cutting is a new non-traditional special cutting method. It is a pulse cutting method that vibrates the tool (or workpiece) in an appropriate direction, a certain frequency and amplitude to improve its cutting efficiency. Vibration cutting is a method to obtain special cutting effects by applying some regular and controllable vibration on the cutting tool to periodically change the cutting speed and back cutting amount. Vibration cutting changes the space and time conditions between the tool and the material to be processed, thereby changing the processing (cutting) mechanism, reducing cutting force and cutting heat, and improving processing quality and efficiency. Vibration cutting can be divided into high-frequency vibration and low-frequ...

AI Technical Summary

Problems solved by technology

[0004] The existing cutting database is highly dependent on manual intervention. Although artificial intelligence methods have been initially cited in the cutting database at this stage, the current level of intelligence is not high, and a large number of manual decisions are still required in actual processing; Low rail noise removal rate and low processing efficiency

[0005] In the prior art, the sound sensor itself does not have the function of correction and compensation, and cannot accurately measure the noise data, which may easily cause errors in the control and display of the noise data; in the prior art, it cannot guarantee that the ultrasonic transducer can obtain a stable voltage. In the unstable state of voltage, the input electrical signal cannot be converted into mechanical vibration stably and accurately, causing system work delay; in the prior art, the display cannot effectively improve the accuracy of data information display, reduce the reading speed, affect work efficiency, and reduce economic benefits

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