Cutter wear identification and prediction method based on high and low frequency acoustic emission sensor fusion

Abstract

The invention discloses a cutter wear identification and prediction method based on high and low frequency acoustic emission sensor fusion. The method comprises the following steps that firstly, acoustic emission short wave parameters of high and low frequency sensors, including a threshold value, rising time and duration time, are set to eliminate interference signals; secondly, deep fusion, characterization and identification are carried out on the high-frequency and low-frequency acoustic emission signals, and the relation between cutter abrasion and acoustic emission pulse signals is established; and finally, through linear fitting of the total energy of acoustic emission blasting signals caused by brittle fracture and plastic deformation, an equation of the abrasion loss of the rear cutter face of the cutter and the total energy of acoustic emission is established, and accordingly the service life of the cutter is predicted. The method can effectively avoid low-frequency environment noise and machine tool vibration interference, is particularly suitable for cutter wear recognition and prediction under the working condition of minimum quantity lubrication green cutting machining, and is simple, convenient to operate and accurate in result.

Description

technical field [0001] The invention relates to the technical field of mechanical manufacturing, in particular to a tool wear identification and prediction method based on fusion of high and low frequency acoustic emission sensors. Background technique [0002] Acoustic Emission (AE) detection of tool wear is a promising non-destructive on-line detection technology, which is widely used in the field of cutting processing technology, without stopping the machine and avoiding the secondary clamping of the tool. [0003] In recent years, engineers and technicians have gradually applied acoustic emission nondestructive testing technology to different cutting processing scenarios. The Chinese invention patent with the publication number CN106872580B provides a pin wear state monitoring method based on piezoelectric ceramics, that is, the acoustic emission monitoring system is fixed at one end of the pin, and the wear state of the pin is judged by parameters such as acoustic emiss...

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved in the present invention is a tool wear identification and prediction method based on the fusion of high and low frequency acoustic emission sensors, which solves the problem that the acoustic emission, current, vibration, and power sensors have different ranges and inconsistent data structures during the fusion monitoring process of multiple types of sensor wear. , Poor data interaction, and difficulty in post-processing training model construction. A simple operation, which can effectively avoid low-frequency environmental noise and machine tool vibration interference, is especially suitable for tool wear identification and prediction under the conditions of micro-lubrication green cutting processing conditions. method

Images