Visual inspection method of electron beam welding pool shape parameter

A technology of electron beam welding and shape parameters, which can be used in measurement devices, image data processing, instruments, etc., and can solve problems such as large noise interference and inability to obtain

Inactive Publication Date: 2012-06-27
HARBIN INST OF TECH
View PDF3 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problem that there is large noise interference in the existing molten pool image processing, and it is impossible to obtain a continuous and smooth edge of the electron beam welding molten pool, and to provide a visual detection method for the shape parameters of the electron beam welding molten pool

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
  • Visual inspection method of electron beam welding pool shape parameter
  • Visual inspection method of electron beam welding pool shape parameter
  • Visual inspection method of electron beam welding pool shape parameter

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0049] Specific Embodiment 1: The specific process of a visual inspection method for the shape parameter of the electron beam welding molten pool according to the present embodiment is as follows:

[0050] Step A, putting the workpiece to be welded into a vacuum chamber and fixing it;

[0051]Step B. Start the camera in the vacuum chamber to calibrate the color molten pool image visual sensing system for electron beam welding: 1. The welding starting point on the surface of the welding workpiece is taken as the coordinate origin o, and the welding direction is the positive direction of the x-axis, which is perpendicular to the welding direction The following is the positive direction of the y-axis, establish the coordinate system oxy, which is the workpiece coordinate system; 2. Then draw a group of concentric circles with the workpiece coordinate system as the reference system. The radius of the smallest circle is 1 mm, and the radius of each concentric circle is The unit is ...

specific Embodiment approach 2

[0082] Embodiment 2: This embodiment differs from Embodiment 1 in that the structural elements described in step B include 2 to 5 pixels and 1 center point. Others are the same as in the first embodiment.

specific Embodiment approach 3

[0083] Embodiment 3: The difference between this embodiment and Embodiments 1 to 2 is that the structural element B described in step B is in the shape of a disc, square, rhombus or hexagon. Others are the same as the specific embodiment 1 to 2.

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

No PUM Login to view more

Abstract

The invention relates to a visual inspection method of an electron beam welding pool shape parameter. During a current weld pool image processing process, there is strong noise interference, so that a continuous and smooth electron beam edge can not be obtained; however, the above-mentioned problem can be solved according to the invention. According to the method, calibration is carried out on an electron beam welding colored weld pool image visual sensing system; the system is started to collect weld pool images as well as a binary morphological image processing algorithm is employed to extract a weld pool image edge; and a weld pool shape parameter extraction algorithm is utilized to carry out extraction on a weld pool shape parameter. According to the invention, the noise influence on the extracted weld pool edge image is completely eliminated; the edge is smooth continuously and extraction precision of the weld pool shape parameter is high; and it takes about 30ms to complete the whole processing process, thereby completely meeting a real-time detection demand. Moreover, the provided method in the invention can be applied to the welding automation field.

Description

technical field [0001] The invention relates to a visual inspection method for shape parameters of an electron beam welding pool, in particular to a visual inspection method for the shape parameters of an electron beam welding pool. Background technique [0002] The ultimate goal of processing the molten pool image is to obtain the surface shape parameters related to the welding quality, such as the width of the molten pool, the half-length of the molten pool, and the drag angle of the molten pool, and then establish a mathematical model between the surface shape parameters and the welding specification. Realize the automatic control of the welding process and provide a theoretical basis. Therefore, detecting the shape parameters of the molten pool from the front of the weldment has important theoretical significance and practical value for realizing welding automation. [0003] At present, although Chen Zhanglan and others published "Research on Weld Center Detection Techn...

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 Applications(China)
IPC IPC(8): G01B11/24G01B11/03G06T5/00
Inventor 张秉刚石铭霄陈国庆冯吉才
Owner HARBIN INST OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products