Supercharge Your Innovation With Domain-Expert AI Agents!

A Method of Ultrasonic Imaging to Detect Part Edge

A technology of ultrasonic imaging detection and parts, which is applied in the processing of detection response signals, the use of sound waves/ultrasonic waves/infrasonic waves to analyze solids, and the use of sound waves/ultrasonic waves/infrasonic waves for material analysis, etc. It can solve problems such as difficult size evaluation and achieve physical measurement Method Accurate Effect

Active Publication Date: 2022-05-27
AVIC BEIJING INST OF AERONAUTICAL MATERIALS
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention is designed to solve the new problems in the above-mentioned prior art and provides a method for detecting the edge of parts by ultrasonic imaging. It is conducive to the measurement of the distance between the internal defect of the material and the edge size of the part, and provides reliable data support for the compensation of the subsequent edge defect and the judgment of whether the defect can be processed and removed

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Method of Ultrasonic Imaging to Detect Part Edge
  • A Method of Ultrasonic Imaging to Detect Part Edge
  • A Method of Ultrasonic Imaging to Detect Part Edge

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] The technical scheme of the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments:

[0029] see attached Figures 1 to 3 As shown, in this embodiment, a superalloy test block with a size of 100mm × 50mm × 50mm is selected to detect, the ultrasonic testing instrument 1 is USIP 40, the mechanical scanning system 2 is SM-J6B-100, and the inspection result imaging system 3 is a Computer, ultrasonic testing probe 4 is a 10MHz focusing probe, steel metal ball 5 has a diameter of 0.5mm, and the probe detects a water distance of 40mm. The metal ball 5 is bonded to the four side walls 6 of the detected part, and the bonding The distance L from the horizontal position to the edge (8) is 30mm, the width of the defect detection signal gate is 5-30mm, and the sticking depth of the ball is 5mm below the upper surface. The detection sensitivity is to adjust the Φ0.8mm flat bottom hole within the depth range of 5-30mm...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

PropertyMeasurementUnit
diameteraaaaaaaaaa
distanceaaaaaaaaaa
diameteraaaaaaaaaa
Login to View More

Abstract

The invention relates to a method for detecting the edge of a part by ultrasonic imaging. The steps of the method are as follows: Step 1. Bond the metal ball (5) on the side wall (6) of the part, and the upper edge of the side wall (6) It is the edge (7) of the part to be detected, and the side wall (6) is parallel to the direction of the ultrasonic imaging detection scan; step 2, according to the ultrasonic imaging detection scan process, the part is subjected to defect C scanning detection; step 3, observe the C The image is scanned, and the imaging points (9) of the metal balls in the C-scan image are sequentially fitted into a line to obtain the boundary value of the edge (7) of the part. This method solves the problem of difficult assessment of part ultrasonic C-scan boundary size, is beneficial to the measurement of the distance between the internal defect of the material and the part edge size, and provides reliable data support for the subsequent compensation of edge defects and the judgment of whether the defects can be processed and removed.

Description

technical field [0001] The invention relates to a method for detecting the edge of a part by ultrasonic imaging, and belongs to the technical field of non-destructive testing. Background technique [0002] Ultrasonic C-scan inspection is a commonly used non-destructive testing method. It performs ultrasonic C-scan imaging inspection on parts, and judges the location and size of defects through images. During the implementation of this detection method, because the probe has a certain sound beam width, when the main sound beam of the probe reaches the vicinity of the part boundary, the side wall of the part produces irregular reflection and scattering effects on the sound beam. If the probe is received, it will be displayed on the image. According to the strength of the signal received by the probe, the width and strength of the part boundary displayed on the image are different, which cannot represent the true boundary value of the part, giving the inspector a judgment on th...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G01N29/06G01N29/44
CPCG01N29/0645G01N29/0654G01N29/069G01N29/4454G01N29/44G01N2291/0234G01N2291/0289
Inventor 王铮林立志何方成梁菁王东升
Owner AVIC BEIJING INST OF AERONAUTICAL MATERIALS
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More