Machine vision-based 3D printing forming quality detection system and method

A 3D printing and molding quality technology, which is applied in the direction of optical testing for flaws/defects, can solve the problems of complex structure of quality inspection devices, low detection efficiency, cumbersome operation, etc., and achieve quality inspection, low manual participation, and simple operation methods Effect

Pending Publication Date: 2018-04-20
CHINA JILIANG UNIV
View PDF0 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The products printed by 3D printers need to be inspected for quality. At present, there is a lack of devices and methods on the market that can effectively inspect the quality of 3D printed products. Because 3D printed products have strong individual characteristics, the inspection schemes used in the past for assembly line products are not suitable. It is suitable for personalized 3D printing product inspection. The quality inspection device in the prior art has complex structure, cumbersome operation, low detection efficiency and low precision.

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
  • Machine vision-based 3D printing forming quality detection system and method
  • Machine vision-based 3D printing forming quality detection system and method
  • Machine vision-based 3D printing forming quality detection system and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0053] Such as figure 1 As shown, the specific implementation of the present invention includes a workpiece placement platform 1, an image acquisition device and a host computer 2, a rotating platform 26 is installed on the workpiece placement platform 1, a 3D printing product 3 is placed on the rotating platform 26, and the image acquisition device is placed on the 3D printing product Directly above 3, the image acquisition device is connected to the host com...

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 machine vision-based 3D printing forming quality detection system and method. A rotary platform is mounted on a workpiece placement platform, a 3D printed product is placed on the rotary platform, an image acquisition device is connected to an upper computer through a communication device, a backlight is arranged below the workpiece placement platform, the rotary platformcomprises an upper plate and a lower plate parallel to the upper plate, the bottom end of a center shaft is fixedly connected to the center of the lower plate, the center shaft is sleeved by a surface bearing, the surface bearing is sandwiched between the upper and lower plates, and multiple rolling parts are uniformly installed between the edges of the upper and lower plates in intervals. The method comprises acquiring surface images of a 3D printed finished product through an area-array camera, inputting an image capture card into the upper computer, carrying out image pre-processing, and analyzing the images to detect contour defects or surface defects. The system and method can realize fast detection of the quality of the 3D printed finished product, have a high detection precision and improve the qualified rate of the workpiece.

Description

technical field [0001] The invention relates to the field of information image processing, in particular to a 3D printing molding quality detection system and detection method. Background technique [0002] 3D printing is a kind of rapid prototyping technology. It is a technology based on digital model files and using bondable materials such as powdered metal or plastic to construct objects by layer-by-layer printing. The technology has applications in jewelry, footwear, industrial design, architecture, engineering and construction (AEC), aerospace, dental and medical industries, education, geographic information systems, civil engineering, and other fields. The products printed by 3D printers need to be inspected for quality. At present, there is a lack of devices and methods on the market that can effectively inspect the quality of 3D printed products. Because 3D printed products have strong individual characteristics, the inspection schemes used in the past for assembly l...

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): G01N21/88
CPCG01N21/88
Inventor 孙坚邹睿徐红伟钟邵俊陆城炜王凯
Owner CHINA JILIANG 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