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Welding deviation detection system and detection method based on GMAW molten pool contour features

A technology of deviation detection and contour features, applied in welding equipment, arc welding equipment, manufacturing tools, etc., can solve problems such as welding deviation, achieve the effect of improving quality, image acquisition quality, and signal stability

Active Publication Date: 2018-10-09
太原辰航科技有限公司
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  • 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 welding deviation detection system and detection method based on GMAW molten pool profile features, which has the advantages of real-time detection, fast and accurate measurement, and solves the quality of welding deviation in I-shaped groove welding monitoring issues

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  • Welding deviation detection system and detection method based on GMAW molten pool contour features
  • Welding deviation detection system and detection method based on GMAW molten pool contour features
  • Welding deviation detection system and detection method based on GMAW molten pool contour features

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Embodiment 1

[0050] see figure 1 as well as figure 2 In this embodiment, the I-groove welding deviation detection system based on GMAW (gas metal arc welding) molten pool profile features includes an optical system, an image processing system, and an image analysis system. In this embodiment, the welding deviation detection system is applied to an arc welding robot system, which includes a MOTOMAN-UP6 robot and a welding power supply MOTOWELD-S350. Among them, this embodiment is tested, using the GMAW welding method, the joint form is butt joint, and it is an I-shaped groove, the base material is Q235, the plate size is 180mmx50mmx5mm, and the pretreatment method is sandpaper grinding to remove rust. The welding process parameters are shown in Table 1.

[0051] Table 1 Welding process parameter list

[0052]

[0053] The optical system includes a camera trigger module, an industrial camera 3, and a filter device.

[0054] see image 3 , the industrial camera 3 is used to take imag...

Embodiment 2

[0086] This embodiment discloses a welding deviation detection method based on GMAW molten pool contour features, which is applied to the welding deviation detection system based on GMAW molten pool contour features in Embodiment 1.

[0087] The welding deviation detection method includes the following steps.

[0088] (1) Detecting the arc voltage during welding, and triggering a trigger signal 1 when the arc voltage is lower than a preset voltage value, and triggering a trigger signal 2 when the arc voltage is higher than the preset voltage value, The trigger signal 1 and the trigger signal 2 are combined into a camera trigger signal in time sequence and transmitted to the industrial camera, so that the industrial camera triggers the industrial camera to take pictures of the melt pool image during short-circuit transition when the camera trigger signal is on a falling edge .

[0089] (2) Segment the molten pool image into two ROIs that respectively display a groove profile a...

Embodiment 3

[0097]The welding deviation detection system based on the contour features of the GMAW molten pool in this embodiment adds an alarm device on the basis of Embodiment 1, and a controller is added to the image analysis system. The controller controls the alarm device to send out an alarm signal for welding torch 2 to the right when the pixel deviation Δ is less than zero, and to send an alarm signal for welding torch 2 to the left when the pixel deviation Δ is greater than zero. Therefore, in this embodiment, an alarm device is provided to judge whether the welding torch 2 is left or right according to the pixel deviation Δ, and a corresponding alarm signal is sent, so that the operator can make corresponding processing in time, and improve welding efficiency and welding quality.

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Abstract

The invention discloses a welding deviation detection system and a detection method based on GMAW molten pool contour features. The welding deviation detection system comprises an optical system, an image processing system and an image analysis system; the optical system comprises a camera triggering module, an industrial camera and a light filtering device; the image processing system includes anROI setting module, a median filtering module and a contour extraction module; and the image analysis system comprises a boundary line detection module, a comparator and an arithmetic unit. Accordingto the system and the method, the optical system is arranged, so that the fused pool image during short circuit transition is collected; the image processing system is arranged, so that the fused pool image is divided into a groove contour image and a welding wire outline image; moreover, the image analysis system is arranged, so that welding deviation is obtained through calculation, then the deviation value of welding can be rapidly measured, and the welding state can be monitored conveniently in real time; and an alarm device is arranged, moreover, whether a welding gun is inclined left orright is judged according to the size of the deviation of the pixel so as to send out a corresponding alarm signal, then the welding efficiency and the welding quality are improved.

Description

technical field [0001] The invention relates to a welding deviation detection system in the technical field of deviation detection, in particular to a welding deviation detection system and a detection method based on GMAW molten pool contour features. Background technique [0002] Seam tracking is one of the key technologies for intelligent robot welding, and welding deviation detection is the basis of seam tracking. Traditional robots use the method of teaching and reproduction to realize automatic welding. However, automatic welding is susceptible to the interference of non-standard workpieces and assemblies, welding thermal deformation, variable gap, misalignment and other factors, resulting in welding deviation. Contents of the invention [0003] (1) Solved technical problems [0004] Aiming at the deficiencies of the prior art, the present invention provides a welding deviation detection system and detection method based on GMAW molten pool profile features, which ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B23K9/095B23K9/173
CPCB23K9/095B23K9/0956B23K9/173
Inventor 高珊朱彦军吴志生王安红尹国利李晔
Owner 太原辰航科技有限公司
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