Method for extracting shape of laser additive manufacturing molten pool

An extraction method and laser additive technology, applied in image enhancement, image analysis, instruments, etc., can solve the problems of low melt pool universality, fast scanning speed, high laser power, etc., and achieve simple and easy-to-understand algorithm principles. The effect of high melt pool universality and short run time

Active Publication Date: 2020-06-30
XI AN JIAOTONG UNIV
View PDF7 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the high laser power and fast scanning speed, a large number of molten pool pictures can be collected every second during the manufacturing process, and because there are a lot of splashes and arc interference around the molten pool, the molten pool collected by the molten pool monitoring system will be affected. The images cause unavoidable effects, which affect the extraction of melt pool information
[0003] For the detection of molten pool parameters, the existing method is to perform ellipse fitting on the molten pool, and then calculate the relevant parameters of the molten pool. This method can calculate the area and length and width parameters of the molten pool, but the ellipse fitting process is complicated. , is greatly affected by background noise, and is limited to elliptical or nearly elliptical molten pool edges; and the pixel values ​​of the molten pool image are used to calculate the main inertial axis of the molten pool to obtain corresponding parameters. This method is suitable for different shapes of molten pools The universality is not high, and the result obtained is not accurate enough when the shape of the molten pool is irregular

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
  • Method for extracting shape of laser additive manufacturing molten pool
  • Method for extracting shape of laser additive manufacturing molten pool
  • Method for extracting shape of laser additive manufacturing molten pool

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The following will refer to the attached Figure 1 to Figure 3 Specific embodiments of the present invention are described in more detail. Although specific embodiments of the present invention are shown in the drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0037] It should be noted that certain words are used in the description and claims to refer to specific components. Those skilled in the art should understand that they may use different terms to refer to the same component. This specification and claims do not use differences in terms as a way to distinguish components, but use differences in functions of components as a criterion for distinguishing. If "incl...

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 method for extracting the shape of a laser additive manufacturing molten pool. The method comprises the following steps: performing graying processing on the input molten pool image to generate a gray level image; performing filtering processing on the grayscale image; performing binarization processing on each frame of filtered grayscale image to obtain a binarized image; when the input molten pool image is not coaxially acquired with the laser, identifying and removing reflection spots in the binarized image, extracting a molten pool image contour in the binarized image, and obtaining an external minimum rectangle of the molten pool image contour, the length and width of the external minimum rectangle being the length and width of the molten pool.

Description

Technical field [0001] The invention belongs to the technical field of molten pool image processing, in particular to a method for extracting the shape of the molten pool by laser additive manufacturing. Background technique [0002] As an important manufacturing technology, laser additive manufacturing is widely used in industrial manufacturing, aerospace, biomedical and other fields. In the laser additive manufacturing process, the online monitoring of the molten pool includes real-time detection of the dynamic changes of the temperature, shape, area, length and width of the molten pool, and study the impact of these dynamic changes on the product, thereby affecting the manufacturing process Monitoring the abnormalities in the process is of great significance to ensure the quality of the final product and analyze the defects of the printing layer. However, due to the large laser power and fast scanning speed, a large number of molten pool pictures can be collected every second...

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): G06T7/181G06T7/62G06T7/90G06T5/00G06T7/136G06T7/00
CPCG06T7/181G06T7/62G06T7/90G06T5/002G06T7/136G06T7/0002
Inventor 陈凯赵彩阳朱文欣
Owner XI AN JIAOTONG 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