Vision-based on-line measurement method for welding seam formation characteristics of thick plate T-joint welding

A technology for forming and measuring methods of welds, used in welding equipment, metal processing equipment, manufacturing tools, etc.

Active Publication Date: 2021-05-07
NANCHANG UNIV
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Problems solved by technology

The feature points of the weld seam contour, the shape of the weld seam and the filling area of ​​the thick plate T-shaped joint are variable, and the detection of the seam shape features based on the visual method is easily disturbed by the electromagnetic field, strong arc light and welding torch vibration. presents a challenge to current methods to accurately obtain weld shape features

Method used

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  • Vision-based on-line measurement method for welding seam formation characteristics of thick plate T-joint welding
  • Vision-based on-line measurement method for welding seam formation characteristics of thick plate T-joint welding
  • Vision-based on-line measurement method for welding seam formation characteristics of thick plate T-joint welding

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Embodiment 1

[0049] Embodiment 1: A vision-based online measurement method for weld seam formation characteristics of thick plate T-shaped joint welding, such as figure 1 shown, including the following steps:

[0050] Step 1. Use the idea of ​​average sliding to calculate the slope value of each data point of the extracted linear weld profile, and then use the equipartition high-order nonlinear least squares fitting method to suppress the influence of the local disturbance of the slope and effectively approximate the overall change characteristics of the slope , and the fitted data are subjected to mutation detection, and finally the feature points of the weld contour are obtained according to the supervision method.

[0051]Step 2. In view of the invalid weld contour feature recognition, according to the sampling data before the current sampling time, using the triple exponential smoothing algorithm, a fault detection method for weld contour feature point extraction is proposed to realize...

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Abstract

The invention proposes a vision-based on-line measurement method for weld formation characteristics of thick plate T-shaped joint welding, which can perform on-line measurement of penetration depth, fusion width and cross-sectional area of ​​weld formation. Firstly, according to the extracted weld profile, the feature point recognition algorithm of the weld profile is designed based on the slope mutation and supervision method to realize the detection of feature points; secondly, aiming at the influence of various random disturbances in welding on the feature point detection of the weld profile, a method based on Three exponential smoothing methods are used for fault diagnosis, and further effective feature points are obtained; finally, using the weld profile and feature points extracted before welding and during welding, the high-order nonlinear fitting method is used to calculate the weld penetration depth, fusion width and cross-sectional area. The invention helps to control the welding seam formation by effectively measuring the characteristics of the welding seam formation, and then realizes the on-line monitoring of the welding quality. It has the advantages of reduced time consumption, high measurement accuracy and strong robustness.

Description

technical field [0001] The invention relates to a vision-based on-line measurement method for weld formation characteristics of thick plate T-shaped joint welding, and belongs to the technical field of multi-layer and multi-pass weld formation detection. Background technique [0002] One of the keys to welding quality is to control the shape of the weld to achieve the required filling. Weld formation is related to multiple heterogeneous influencing factors. In a specific welding scenario, welding process parameters are the key factors affecting weld formation. The automatic and intelligent robot welding process needs to adjust the welding process parameters according to the weld forming characteristics, so as to realize the online monitoring of welding quality. Therefore, the effective measurement of weld forming characteristics helps to promote the automation and intelligence of the welding process. [0003] At present, the online measurement of weld forming features most...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B23K31/12
CPCB23K31/125
Inventor 何银水李岱泽余卓骅马国红
Owner NANCHANG UNIV
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