Stress Detection System Based On Barkhausen Effect

With the rise of the arrival of the pace of modernization and industrial production,the product of many industrial metal structure came into being,in order to ensure the safety of human life,the need for non-destructive testing of these metal structures,and then judge the performance of the metal material is reliable.The stress concentration factors are the main metallic material injury,so this project conducted in-depth studies on Barkhausen effect and stress detection technologies.Devised a convenient,accurate,non-destructive testing system science,evaluation and testing to achieve the relationship between the noise signal and the Barkhausen stress of ferromagnetic material.In this paper,the stress detection Barkhausen Theory and design technology and to proceed,the magnetic domain analyzes the irreversible displacement of the release skip signal magnetic domains studied the relationship between stress and thereby to reflect the basic properties of the magnetization curve of the ferromagnetic material.Discussion on the correlation characteristic of the hysteresis loop and the various features extraction parameters such coercivity,remanence,hysteresis,etc.It is determined,the change in size of the material microstructure and residual stresses of the material fatigue damage.Parameters of the number of turns of wire diameter shape,size,and the coil Based on accurate analysis of Barkhausen basic detection principle and the magnetization point Q,calculated by the yoke structure Ansys system simulation parameters and the coil,the yoke is determined to achieve success designed and produced a stress detecting sensor of the present experiment,and to achieve precise detection;for a signal detecting section,a comparative study of various precision TMR conventional magnetoresistive sensor and the sensor coil,and analyzes the signals acquired,ultimately the selection of the detection sensor.Matlab software components herein by software processing method,a data signal with automatic generation of aliasing noise threshold wavelet denoising or compression function selected,then use the reconstructed signal wdencmp command,and finally the signal of the smoothing filter can be realized extracting noise signals.By the feature value extracting Barkhausen noise signal to establish a correlation between the feature values of each gain profile signal,Final experiments facilitate;by introduction of EMD,decomposition of the implementation details of this signal,the signal to understand the configuration,thereby better when frequency analysis is performed to improve the accuracy of the final model and characteristics of material stresses.Expand the case of traditional paper in the experimental part of the data is less than the standard setting accuracy,the calibration data herein by stress loading platform as a reference,further comprising introducing a temperature compensation process and the introduction of the strain gauge sensor calibration PGA308 programmable unipolar amplifier to achieve accurate calibration,as the reference Barkhausen signal and the stress detected;to achieve an accurate prediction of the stress by building and Barkhausen correlation function;Finally,to achieve an accuracy of this experiment was analyzed by regression analysis of data.Overall the micro domains herein viewpoint of good stress applied to the related art system evaluation.Study on the hysteresis loop,the surface leakage magnetic field,Barkhausen stress assessment techniques,the development of stresses associated sensors and associated software processing methods,theoretical foundation for the detection of stress state evaluation metal coupons,as magnetic sensors and the development of new magnetic non-destructive testing equipment to provide technical means.