Method for detecting average crystal grain size of weld seam by utilizing weld seam characteristic guide waves

A technology of average grain size and weld characteristics, applied in the field of non-destructive testing, to achieve the effect of high efficiency, large detection range, flexible and adjustable detection range

Inactive Publication Date: 2013-06-26
JIANGSU UNIV
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Problems solved by technology

[0005] At present, there are no relevant reports on the use of weld characteristic guided waves to detect the average grain size in welds at home and abroad.

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  • Method for detecting average crystal grain size of weld seam by utilizing weld seam characteristic guide waves
  • Method for detecting average crystal grain size of weld seam by utilizing weld seam characteristic guide waves
  • Method for detecting average crystal grain size of weld seam by utilizing weld seam characteristic guide waves

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Embodiment Construction

[0023] In order to deepen the understanding of the present invention, the following specific embodiments and appendix figure 1 , figure 2 with image 3 The method for detecting the average grain size of the weld seam proposed by the present invention is further detailed. The examples cited are only used to explain the present invention and do not constitute a limitation on the protection scope of the present invention.

[0024] Such as figure 1 , figure 2 with image 3 As shown, the butt weld is 500mm long, and the weld is formed by butting two 500mm*700mm*6mm carbon steel steel plates, and the base material is Q235. Guided wave detection method for the weld characteristics of the average grain size of the weld as follows:

[0025] 1) Choose a suitable detection position, and arrange three ultrasonic shear wave probes in sequence along the direction of the weld (1): ultrasonic shear wave probe 1, ultrasonic shear wave probe 2, and ultrasonic shear wave probe 3. The probe is ver...

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Abstract

The invention discloses a method for non-destructively detecting the average crystal grain size of a weld seam by utilizing weld seam characteristic guide waves and belongs to the field of non-destructive detection. The method comprises the steps of: sequentially distributing three sensor probes along the weld seam, wherein the three probes are away from one another by a certain distance; generating a single-audio signal by a function generator, exciting weld seam characteristic guide waves in the weld seam by a power amplifying module and an exciting sensor, respectively receiving guide wave signals excited by the first probe by using the second probe and the third probe as receiving sensors, and transmitting the guide wave signals to an oscilloscope; determining the amplitude values of the two receiving probes and calculating attenuation coefficients of the guide wave signals; and judging the average crystal grain size in the weld seam by calculating the attenuation coefficients. The method is capable of detecting the average crystal grain size of the weld seam without destructing the weld seam, and has the advantages of high efficiency, low cost and the like.

Description

Technical field [0001] The invention relates to a welding seam characteristic guided wave detection method for the average grain size of a weld seam, which uses the characteristic guided wave of the weld seam to perform non-destructive detection of the average crystal grain size in the weld of tailor-welded blanks or special equipment such as large pressure vessels And the method of characterization belongs to the field of non-destructive testing. Background technique [0002] The mechanical properties of most polycrystalline materials, such as strength and toughness, are related to the grain size. The weld area is the key connection part of many large components, and the requirements for mechanical properties are high. Therefore, the average grain size of the weld is checked. The safety of materials is very important. [0003] At present, the determination of material grain size mainly adopts the traditional metallographic method, that is, direct observation under a microscope. F...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N29/11
Inventor 许桢英高书苑王匀杨川郭子青严有琪李文斌黄俊郭镇宁
Owner JIANGSU UNIV
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