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A tungsten pole position correction method for narrow-gap rotating arc gtaw based on deep learning algorithm

A deep learning and rotating arc technology, applied in neural learning methods, arc welding equipment, computing, etc., can solve problems such as sidewall failure to fuse, and achieve the effects of ensuring stability, improving stability, and improving accuracy

Active Publication Date: 2022-07-01
SHANDONG UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the deficiencies of the prior art, the present invention provides a narrow-gap rotary arc GTAW tungsten pole position correction method based on a deep learning algorithm, which can effectively solve the problem of sidewall deflection in the narrow-gap welding process of non-axisymmetric rotary argon tungsten arc welding. Unfused or Insufficient Fusion Problems

Method used

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  • A tungsten pole position correction method for narrow-gap rotating arc gtaw based on deep learning algorithm
  • A tungsten pole position correction method for narrow-gap rotating arc gtaw based on deep learning algorithm
  • A tungsten pole position correction method for narrow-gap rotating arc gtaw based on deep learning algorithm

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Embodiment 1

[0042] A method for rectifying the position of a tungsten pole of a narrow-gap rotating arc GTAW based on a deep learning algorithm, comprising a NAR-GTAW welding system, a visual image detection system, an image processing system, a communication system and a control system;

[0043] The NAR-GTAW welding system includes a NAR-GTAW welding power source, a PAW welding power source, a NAR-GTAW welding torch 3, a box-type chiller, a wire feeding device 2, an air supply device, a rear protective gas cover 5, and a collection and control system; The acquisition and control system described above includes a USB3.1 Gen1 expansion board and a PLC controller; the PLC controller controls the NAR-GTAW welding torch for position correction;

[0044] The visual image detection system includes a lens, a CCD camera 6, an optical filter, and a monitor;

[0045] The image processing system includes image processing hardware and image processing software; the image processing hardware is a comp...

Embodiment 2

[0058] A method for rectifying the position of the tungsten pole of a narrow-gap rotating arc GTAW based on a deep learning algorithm. The camera fixing frame 4 is fixed and moves with the movement of the welding torch along the moving carriage 1, which avoids the problem of unclear images caused by the change of the focal length due to the movement of the welding torch during the moving process, and is consistent with the horizontal direction of the welding platform. At an angle of 10° to 30°, it is beneficial to obtain a clear image of the welding arc.

Embodiment 3

[0060] A method for rectifying the position of the tungsten pole of a narrow-gap rotating arc GTAW based on a deep learning algorithm. 100FPS with a resolution of 640×640.

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Abstract

The invention relates to a tungsten electrode position correction method for narrow-gap rotary arc GTAW based on a deep learning algorithm, which greatly improves the arc stability in a narrow-gap non-axisymmetric tungsten electrode rotary arc welding process, and belongs to the argon tungsten arc welding technology. field, including NAR‑GTAW welding system, visual image detection system, image processing system, communication system and control system. After building an experimental platform, select different parameters for welding and collect corresponding images, establish a deep learning model, and use arc data for deep learning Model training, deploy the trained model to the computer, and use the real-time collected images as input. After the model is inferred, the type and area of ​​the arc at the moment can be obtained; after the tungsten electrode is rotated for one to two weeks, the left class and For the average arc area of ​​the right type, the difference between the two types of average arc areas is used as the feedback amount, and the PLC controller adjusts the NAR‑GTAW welding torch through the feedback amount, so that the tungsten electrode is always located at the center of the groove in the lateral direction.

Description

technical field [0001] The invention relates to a tungsten electrode position correction method for narrow-gap rotary arc GTAW based on a deep learning algorithm, which greatly improves the stability of the arc in the process of narrow-gap non-axisymmetric tungsten electrode rotary arc welding, and the method belongs to argon tungsten arc welding. technical field. Background technique [0002] With the increasing size, high output and precision of modern industrial and heavy industry equipment, the application of thick plate and ultra-thick plate welded metal structures is becoming more and more extensive. Narrow gap welding is a new type of welding with high welding efficiency and high performance. , Welding technology with lower production cost is increasingly being valued by the welding field and favored by enterprises. [0003] Narrow gap argon tungsten arc welding (NG-GTAW) has the advantages of no spatter and slag, stable arc, no obvious welding defects, and all-posit...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B23K9/167B23K9/133B23K9/32G06T7/00G06T7/62G06N3/04G06N3/08
Inventor 贾传宝王琦陈崇龙李侃武传松谢尔盖·马克西莫夫
Owner SHANDONG UNIV
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