Method and device for diagnosing defects of laser additive manufacturing

A technology of laser material addition and defect diagnosis, which is applied in the direction of measuring devices, material analysis and material analysis through optical means, can solve problems such as defect diagnosis, and achieve the effect of stable diagnosis and monitoring

Inactive Publication Date: 2019-03-22
HARBIN INST OF TECH AT WEIHAI
View PDF4 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention aims to solve the technical problem of insufficient defect diagnosis of the existing single sensor in the laser additive manufacturing process, and provides a diagnostic method that can accurately and stably monitor and identify defects in the additive manufacturing process

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 and device for diagnosing defects of laser additive manufacturing
  • Method and device for diagnosing defects of laser additive manufacturing
  • Method and device for diagnosing defects of laser additive manufacturing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0034] In this example, the schematic diagram of the additive molding object formed by laser additive manufacturing is shown in Figure 3(a). The molding layer is divided into three areas, namely A, B, and C areas. And the area when the defocus amount of area C is 0mm, and the area when the defocus amount is +3mm in area B. This situation is used to simulate the situation when the defocus amount changes during the production process.

[0035] The flow chart of the online diagnosis method for defects in the specific laser additive manufacturing process is as follows: figure 2 As shown, the method includes the following steps:

[0036] (1) Collection of spectral information: the optical fiber probe 9 collects the photoplasma spectral signal generated in the laser additive manufacturing process and sends it to the computer 11 through the optical fiber spectrometer 7, and according to the relative radiation intensity of the plasma of different wavelengths fluctuating with time si...

Embodiment 2

[0043] In this example, the schematic diagram of the additive molding object formed by laser additive manufacturing is shown in Figure 4(a). The molding layer is divided into three areas: D area, E area, and F area. The D area Areas F and F are the area when the laser power is 2000W, and area E is the area when the laser power is 1500W. This situation is used to simulate the situation when the laser power changes during the production process.

[0044] The flow chart of the online diagnosis method for defects in the specific laser additive manufacturing process is as follows: figure 2 As shown, the method includes the following steps:

[0045] (1) Collection of spectral information: the optical fiber probe 9 collects the photoplasma spectral signal generated in the laser additive manufacturing process and sends it to the computer 11 through the optical fiber spectrometer 7, and according to the relative radiation intensity of the plasma of different wavelengths fluctuating wi...

Embodiment 3

[0052] In this example, the schematic diagram of the additive molding object formed by laser additive manufacturing is shown in Figure 5(a). The molding layer is divided into three areas: H area, J area, and K area. The H area and K area are the area when there is protective gas, and J area is the area when there is no protective gas. This situation is used to simulate the situation when the protective gas changes during the production process.

[0053] The flow chart of the online diagnosis method for defects in the specific laser additive manufacturing process is as follows: figure 2 As shown, the method includes the following steps:

[0054] (1) Collection of spectral information: the optical fiber probe 9 collects the photoplasma spectral signal generated in the laser additive manufacturing process and sends it to the computer 11 through the optical fiber spectrometer 7, and according to the relative radiation intensity of the plasma of different wavelengths fluctuating w...

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 method and a device for diagnosing defects of laser additive manufacturing, in order to overcome the defect of flaw diagnosis during the process of laser additive manufacturing. The method specifically comprises the following steps: (1) utilizing a spectrum sensing information collecting device to collect spectrum information, thereby acquiring a time domain map of spectral line intensity fluctuating following time; (2) utilizing a visual sensing information collecting device to collect visual information, thereby acquiring a time domain map of molten pool area changing following time; (3) performing manufacturing defect analysis on the time domain maps acquired in steps (1) and (2); (4) unifying a time shaft and performing mid-value or mean filtering treatment on the time domain map acquired in the step (3), and normalizing the treated data; (5) utilizing a weighted average algorithm to perform information fusion and performing filtering treatment, thereby acquiring a weighted average result time domain map after filtering. The method provided by the invention can be widely applied to the field of diagnosis for the defects of laser additive manufacturing.

Description

technical field [0001] The invention relates to the field of defect diagnosis in laser additive manufacturing, in particular to a method and device for diagnosing defects in laser additive manufacturing. Background technique [0002] Laser additive manufacturing technology is widely used due to its advantages of manufacturing complex shaped parts, wide range of processing materials, short manufacturing cycle and high material utilization rate, and can realize near-final molding without mold processing. It is difficult to monitor and control the quality and defects in real time during the process, and it is difficult to control the defects in time after the defects occur, and it is difficult to guarantee the quality of the final formed product. With the continuous development of this technology, these problems have gradually attracted people's attention. Therefore, in order to make this technology continue to advance and develop, it is necessary to solve related problems such...

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): G01N21/84G01N21/17G01N21/73B22F3/105
CPCB22F3/105G01N21/17G01N21/73G01N21/84G01N2021/1789G01N2021/8411G01N2201/129Y02P10/25
Inventor 陈波苏成科姚永臻檀财旺宋晓国冯吉才
Owner HARBIN INST OF TECH AT WEIHAI
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap