Aluminum alloy fusion welding process state detection method and device

A process state and detection method technology, applied in the direction of measuring devices, material analysis through optical means, instruments, etc., can solve the problems of no uniqueness, fuzzy correlation, etc., and achieve the requirements of maximum robustness, lower resolution, The effect of overcoming device accuracy drift

Active Publication Date: 2019-02-12
XI AN JIAOTONG UNIV
View PDF4 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

An interference often triggers similar responses from multiple element spectral lines. In addition to the complexity and dynamic characteristics of the welding process, the correlation between defects and spectral element spectral lines is relatively vague and has no uniqueness.

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
  • Aluminum alloy fusion welding process state detection method and device
  • Aluminum alloy fusion welding process state detection method and device
  • Aluminum alloy fusion welding process state detection method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] Step S1, use a fixture to fix the workpiece 3 on the workbench, install the welding torch 1 on the end axis of the robot, and set the distance between the tungsten electrode and the workpiece to 100 mm to ensure the arc 2 with the required arc length; the spectrometer probe 4 is rigidly fixed on the bracket Above, the optical fiber 5 connects the probe and the spectrometer 6, and the spectral information of the arc 2 is collected in real time and transmitted to the computer 7 via USB. Spectrometer 6 is a fiber optic spectrometer (AvaSpec-1350F-USB2), with a collection range of 350nm-1100nm, 1350 CCD pixels, an integration time of 1.5ms, and a sampling rate of about 70Hz.

[0041] In step S2, pulse tungsten argon arc welding with butt open Y-shaped groove wire filling is adopted, the peak current is 240A, the base value current is 50A, the pulse frequency is 1Hz, the wire feeding speed is 12mm / s, and the flow rate of the shielding gas argon is 15L / min, tungsten electrode...

Embodiment 2

[0058] Using the same welding process parameters as in Example 1, a part of the metal was milled off the front of the second half of the workpiece to simulate different penetration states. Welding starts welding preheating in situ for 8 seconds, without wire feeding, it lasts until 3 pulses after walking, then starts continuous wire feeding for about 20 seconds, and then stops wire feeding until the end of welding; as attached Figure 10 The physical picture of the weld is shown in the figure, the workpiece design and the results of the welding sample.

[0059] Calculated by the method of the present invention, Figure 10 The metal spectrum FeI characteristic parameter curve shown is corresponding to the analysis of different welding states. Under the coupling of the non-wire feeding state C and the welding leakage state D, the characteristic curve is still relatively stable, and there is no response to the welding leakage defect. When the wire is feeding, there is a large am...

Embodiment 3

[0061] Using the same welding process parameters as in Example 1, the surface of the weldment is polished to remove the oxide film, and the grinding debris is removed by wiping with absolute ethanol. The workpiece is fixed on the welding workbench, and the weld is as follows Figure 11 As shown, fixed-point filling of asphalt is carried out at three points E to simulate pore defects. There is no wire feeding for the first 11 pulses, and no wire feeding for the first half of the subsequent weldment, and no wire feeding for the second half. Calculate characteristic parameters according to the method of the present invention, compare with SPC threshold line after normalization, as Figure 12 As shown, the eigenvalues ​​of the state A without wire feeding in the early stage and the state C without wire feeding in the second half are near the threshold line, while the eigenvalues ​​of the wire feeding state B far exceed the threshold value, and the asphalt interference state E has ...

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 an aluminum alloy fusion welding process state detection method. The method comprises the following steps of S1, acquiring a metal spectral signal in an aluminum alloy fusion welding process, and separating the metal spectral signal by adopting an envelope method to obtain metal background spectrums and metal wire spectrums; S2, carrying out principal component analysis onthe metal wire spectrums to obtain eigenvector coefficients and eigenvector curves of first main components of the metal wire spectrums; S3, confirming chemical elements corresponding to each peak value in the eigenvector curves obtained in the step S2; and S4, according to the eigenvector coefficients obtained in the step S2, carrying out correlation qualitative analysis and sensitivity evaluation on the chemical elements determined in the step S3 according to wavelength pixels correspondingly obtained according to the eigenvector coefficients. The method is based on spectral information deepmining and feature extraction methods of metal spectral principal component analysis, and can realize detection of a state of an aluminum alloy fusion welding process.

Description

technical field [0001] The invention belongs to the technical field of aluminum alloy fusion welding, relates to the technical field of metal spectrum principal component analysis, specifically relates to a method for detecting the state of an aluminum alloy fusion welding process, and also relates to a state detection device for an aluminum alloy fusion welding process. Background technique [0002] Aluminum alloy fusion welding is one of the main welding forming manufacturing methods in aerospace key components, and it is very important to ensure its welding quality. In the context of the promotion and application of robots and the demand for intelligent manufacturing, the realization of welding process status monitoring and detection is of great significance to improve the stability of welding quality and promote welding intelligent manufacturing. Efficient and stable sensing technology and comprehensive process information are the keys for robots to be "smart" enough to ...

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): G01N21/67G01N21/69
CPCG01N21/67G01N21/69G01N2021/695
Inventor 张志芬任文静栾日维杨哲温广瑞
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

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