Detection method and device of surface defect of mechanical part based on machine vision

A technology for mechanical parts and defect detection, applied in the direction of optical testing flaws/defects, etc., can solve the problems of incomplete degaussing, low efficiency, and high labor costs, and achieve the effect of omnidirectional scanning, high efficiency, and low labor costs.

Inactive Publication Date: 2012-09-19
SOUTH CHINA AGRI UNIV
View PDF2 Cites 41 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For the testing of mechanical parts, there are generally two methods at present, one is ultrasonic testing, and the other is magnetic testing. However, since ultrasonic testing is suitable for testing relatively regular tubular parts, although the detection speed of magnetic testing can basically reach Requirements, but can not be completely demagnetized, which may have a huge imp

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
  • Detection method and device of surface defect of mechanical part based on machine vision
  • Detection method and device of surface defect of mechanical part based on machine vision
  • Detection method and device of surface defect of mechanical part based on machine vision

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0033] The crankshaft is the main rotating part of the engine. After the connecting rod is installed, the up and down (reciprocating) motion of the connecting rod can be changed into a circular (rotating) motion. It is an important part of the engine. With the development of science and technology and the increasing demand for crankshafts, the processing efficiency of crankshafts has also been greatly improved in recent years; at the same time, as a power connector for various engines, the quality requirements for crankshafts are also becoming higher and higher. However, during the operation of mechanical equipment, the internal mechanical parts are subject to various stresses, and poorly processed mechanical parts are prone to abnormalities, resulting in system collapse and even catastrophic accidents. Therefore, the roughness detection of the crankshaft surface has become a very important checkpoint.

[0034] In this embodiment, the specific content of the present invention ...

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 discloses a detection method and device of surface defect of a mechanical part based on machine vision. The detection method comprises the steps of: carrying out positioning, filtration, enhancement, binaryzation, morphological treatment, boundary tracing, characterization extraction and the like on the collected surface images of the mechanical part; and judging whether a defect exists through the size of a defect area or not. The detection device comprises a position transmission module, a position control module, a clamp, an image collecting module and an upper computer for processing the image and sending a position control instruction, wherein under the control of the upper computer and the position control module, the position transmission module can move in an X direction, a Y direction and a Z direction, and can rotate around a Z axis; the image collecting module comprises a camera and a light source; and the camera and the position control module are respectively connected with the upper computer. By using the detection method and device, nondestructive detection is carried out based on the machine vision, irregular parts can be detected, no demagnetization problem exists; and the detection method and device have the advantages of high detection precision and high efficiency.

Description

technical field [0001] The invention relates to the field of surface detection research, in particular to a method and device for detecting surface defects of mechanical parts based on machine vision. Background technique [0002] During the processing and production of mechanical parts, it is often necessary to detect and measure them, because most of the mechanical parts are used to bear a certain pressure or perform a large amount of reciprocating motion, so once the produced mechanical parts are abnormal, it may cause The entire system collapses, even with catastrophic consequences. For example, the crankshaft is the main rotating part of the engine. After the connecting rod is installed, the up and down (reciprocating) motion of the connecting rod can be changed into a circular (rotating) motion, which is an important part of the engine. As a power connector of various engines, if there is an abnormality, it may cause serious consequences. Therefore, the roughness dete...

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
IPC IPC(8): G01N21/88
Inventor 张铁民邓龙辉郑少雄庄晓霖林伟忠孙雪晨彭孝东曾俊玮杨业荣盛典锴
Owner SOUTH CHINA AGRI UNIV
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