Method for identifying metal material based on Gaussian distribution of amplitude root-mean-square value

A RMS value, Gaussian distribution technology, applied in analyzing materials, using sonic/ultrasonic/infrasonic waves for material analysis, and processing probe response signals, etc., can solve problems such as high accuracy and probe requirements, and improve accuracy The effect of reducing the interference of human factors and reducing errors

Pending Publication Date: 2021-01-01
SHAANXI NORMAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In the existing research techniques, the ultrasonic attenuation spectrum correlation coefficient method and the weighted Euclidean distance method are used to identify metal samples, but the existing research has certain limitations, such as: due to the directivity of the probe, when collecting signals, It is necessary to strictly control the placement of the probes at the same position and in the same direction. In actual operation, this is difficult to achieve. If one of the acquisitions is wrong and the difference from other signals is large, it will have a great impact on the results of the entire experiment. Therefore, , which has higher requirements on the accuracy of the operation and the probe

Method used

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  • Method for identifying metal material based on Gaussian distribution of amplitude root-mean-square value
  • Method for identifying metal material based on Gaussian distribution of amplitude root-mean-square value
  • Method for identifying metal material based on Gaussian distribution of amplitude root-mean-square value

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0069] Example 1: Identification between different metal materials with similar composition

[0070] Experimental samples: three stainless steel round metal samples with the same specification and similar composition, and the materials are Cr17Ni2 (sample No. 1), 2Cr13 (sample No. 2), and 3Cr13 (sample No. 3), with a diameter of 50 mm and a thickness of 15 mm. . Experimental samples such as Figure 5 shown. During the experiment, sample No. 1 was selected as the standard sample, and samples No. 1, 2, and 3 were used as the samples to be identified. The sampling point during the experiment was the center of the sample, which was marked in advance to ensure that the probes were placed in the same position each time.

[0071] In order to ensure the same experimental conditions as much as possible, every time a signal is taken, the coupling agent (water) needs to be added dropwise, and the dosage is one drop.

[0072] Instrument device connection: connect the Panametrics-NDT 50...

Embodiment 2

[0106] Example 2: Identification between the same metal material

[0107] The calculation method and identification method used in this embodiment are the same as those in Example 1, the difference is that the samples are selected from three civil woks produced by the same batch of the same material, which are samples No. 4, 5, and 6 respectively. , see Figure 6 .

[0108] Select sample No. 4 as the standard signal, and identify samples No. 4, 5, and 6 to be identified. Similarly, 25 signals were collected for the standard sample, and 7 signals were collected for each sample to be identified. The collection method and identification method are the same as those in Example 1.

[0109] The calculated root-mean-square ratios of the amplitudes of the 25 standard signals of sample No. 4 are: 1.3240, 1.1638, 1.4708, 0.8975, 1.8987, 1.6676, 0.6590, 1.6508, 0.9106, 1.6984, 2.0339, 1.1679, 1.4687, 1.4053, 0.20690, , 0.6495, 3.7978, 1.5213, 1.0375, 1.5984, 1.7641, 1.2393, 1.5168, 0...

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Abstract

A method for identifying a metal material based on Gaussian distribution of an amplitude root-mean-square value comprises the steps of collecting time domain signals of standard metal and metal to beidentified, taking the time domain signals of the standard metal, performing normalization processing on the time domain signals, and then performing fast Fourier transform to obtain a standard frequency spectrum; determining the amplitude root-mean-square value corresponding to each standard signal and the amplitude root-mean-square values obtained by all the standard signals to obtain an amplitude root-mean-square ratio of each standard signal, and simulating a distribution condition in signal acquisition based on Gaussian distribution; and setting the threshold value as an average value ofthe amplitude root-mean-square ratios of the plurality of standard signals and adding 2-5 times of standard deviation to obtain the ratio of the amplitude root-mean-square obtained by the amplitude root-mean-square value of each signal to be identified and the average value of all the standard signals, and finally comparing the amplitude root-mean-square ratio of the signal to be identified with the threshold value in the step. Errors in metal detection are greatly reduced, the metal identification accuracy is improved, a possibility of identification errors is reduced, and human factor interference is decreased.

Description

technical field [0001] The invention belongs to the technical field of ultrasonic nondestructive testing, and in particular relates to a method for identifying metal materials based on a Gaussian distribution of an amplitude root mean square value. Background technique [0002] In recent years, the price of raw materials has been rising, and precious metal materials are in short supply. In order to make huge profits, some unscrupulous merchants use cheap metals instead of expensive ones, which greatly affects people's production and life. Therefore, the realization of authenticity identification has a wide range of applications in many fields such as industry, military affairs, and cultural relic identification. [0003] At present, there are many methods to identify metals, physical methods such as: sensory recognition, fracture recognition, spark recognition, etc.; chemical methods such as: titration analysis method, gravimetric analysis method, volumetric analysis method,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N29/46G01N29/44G01N29/48
CPCG01N29/4427G01N29/4454G01N29/4472G01N29/46G01N29/48G01N2291/0234
Inventor 周越贺升平王杰贺西平刘昱
Owner SHAANXI NORMAL UNIV
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