ACFM intelligent visual defect detection system

A defect and intelligent technology, which is applied in the field of ACFM defect intelligent visual detection system device, can solve problems such as low efficiency, low level of visualization, and difficulty in improving the accuracy of quantitative analysis, and achieve low cost, simple method, and improved intelligence and visualization. Effect

Inactive Publication Date: 2010-05-05
CHINA UNIV OF PETROLEUM (EAST CHINA)
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Problems solved by technology

However, at present, the application of ACFM technology has not yet realized the automation of signal processing. Usually, it is analyzed and processed manually with the help of experience, which is not only inefficient, but al

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  • ACFM intelligent visual defect detection system
  • ACFM intelligent visual defect detection system
  • ACFM intelligent visual defect detection system

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Embodiment Construction

[0023] The present invention will be further described below by means of drawings and examples.

[0024] The ACFM defect intelligent visual detection system is used to detect cracks on the surface of low carbon steel sheets that are 40mm long, 8mm deep, and 1mm wide.

[0025] Defect intelligent visual detection process. The composition of the ACFM defect intelligent visual detection system is as follows: figure 1 As shown, it is mainly composed of a power supply, an excitation signal generator, a power amplifier circuit, a phase shifting circuit, an excitation probe, a detection probe, a signal conditioning circuit, an A / D acquisition card, and an intelligent defect detection software based on LabVIEW. The regulated power supply supplies power to the signal generator composed of the voltage-controlled function generator ICL8038 and the RF follower, and the signal generator provides a frequency of 6KH Z A sine wave with an amplitude of 1V is used as an excitation signal, and ...

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Abstract

The invention discloses an intelligent visual defect detection system based on an AC magnetic field. The system comprises a probe, an auxiliary circuit and system detection software and uses a defect quantification and shape reconstruction algorithm. An excitation part of the probe adopts a double-U-shaped structural design and consists of a mangan zinc ferrite iron core and two sets of orthogonal current-carrying coils, a detection part adopts a two-dimensional array structure, and the array probe adopts a lifting-releasing type traveling mode. The hardware processing of detection signals comprises signal conditionings such as amplification, filtering, and the like and also introduces an original excitation signal as a reference signal to carry out phase sensitive detection and low-pass filtering on the detection signals. The signals are sent into a computer through an A/D acquisition card, then the detection software is used for carrying out digital filtering and correlation analysis on the signals to draw a magnetic induction intensity curve and a butterfly diagram in real time, and size quantification and three-dimensional shape inversion are realized through the defect quantification and the shape reconstruction algorithm. The intelligent visual defect detection system gives a full play of the advantages of the computer and greatly improves the intellectualized and visual levels of AC magnetic field detection.

Description

technical field [0001] The invention relates to an intelligent visual non-destructive testing system based on AC electromagnetic field detection technology, more specifically, the invention relates to an ACFM defect intelligent visual detection system device, software and defect intelligent quantification and visualization method. Background technique [0002] AC electromagnetic field testing (ACFM) is a new non-destructive testing method, which is used in petrochemical, aerospace and other occasions to detect surface cracks of components, especially suitable for components such as offshore platforms and underwater structures. However, at present, the application of ACFM technology has not yet realized the automation of signal processing. Usually, it is analyzed and processed manually with the help of experience, which is not only inefficient, but also difficult to improve the accuracy of quantitative analysis of defects. Butterfly diagrams are used to represent defects, whi...

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Application Information

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IPC IPC(8): G01N27/82G01B7/00G01B7/28
Inventor 陈国明李伟倪春生李文艳
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)
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