Journal of Jilin University(Engineering and Technology Edition) ›› 2024, Vol. 54 ›› Issue (3): 657-662.doi: 10.13229/j.cnki.jdxbgxb.20220518

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Autonomous decision⁃making of welding positions based on analytic hierarchy process in T⁃joint arc welding

Yin-shui HE1(),He XIAO1,Cang-hai LUO1,Yu ZHANG1,Zhuo-hua YU2(),Hai-tao YUAN3   

  1. 1.School of Resources & Environment，Nanchang University，Nanchang 330031，China
    2.School of Intelligent Manufacturing，Nanchang Jiao Tong Institute，Nanchang 330100，China
    3.School of Advanced Manufacturing，Nanchang University，Nanchang 330031，China
  • Received:2022-05-10 Online:2024-03-01 Published:2024-04-18
  • Contact: Zhuo-hua YU E-mail:heyingshui117@163.com;446890472@qq.com

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Abstract:

The analytic hierarchy process （AHP） was presented to realize decision-making of welding positions during the horizontal multipass welding process with T-joints. First， the feature points of the groove were detected with visual sensing technology， and the distances between other feature points and the rightmost one respectively in the X/Y direction were used as factors to build the AHP model. Second， a computational method that integrated welding experience related to angular distortion control was proposed to automatically determine the elements in the comparison matrixes. Finally， the decision-making result of welding positions was conducted using the maximum posteriori weight principle. The experimental results on multiple decision-making processes with the webs of different thicknesses showed that the proposed method owns strong anti-interference ability and the accuracy is over 90%.

Key words: T-joint, analytic hierarchy process, welding position decision, angular distortion control, visual sensing

CLC Number: 

  • TG409

Fig.1

Weld planning of the T-joint with a K-groove"

Fig.2

Groove detection T-joints using the laser sensor"

Fig.3

Flow chart of feature point identification"

Fig.4

Typical image with the weld seam profile"

Fig.5

Feature points of the typical weld seam profile and the defined coordinate system （three feature points）"

Fig.6

AHP model with three identified feature points"

Fig.7

Flow chart of the decision-making process of welding positions based on the proposed AHP model"

Fig.8

Validation of anti-interference ability of the proposed AHP model against the pseudo feature point"

Fig.9

Decision-making results using the proposed AHP for different passes and corresponding welding results"

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