吉林大学学报(工学版) ›› 2024, Vol. 54 ›› Issue (3): 657-662.doi: 10.13229/j.cnki.jdxbgxb.20220518

• 材料科学与工程 • 上一篇    

基于层次分析过程的厚板T形接头弧焊焊接位置自主决策

何银水1(),肖贺1,罗沧海1,张宇1,余卓骅2(),袁海涛3   

  1. 1.南昌大学 资源与环境学院,南昌 330031
    2.南昌交通学院 智能制造学院,南昌 330100
    3.南昌大学 先进制造学院,南昌 330031
  • 收稿日期:2022-05-10 出版日期:2024-03-01 发布日期:2024-04-18
  • 通讯作者: 余卓骅 E-mail:heyingshui117@163.com;446890472@qq.com
  • 作者简介:何银水(1979-),男,副教授,博士.研究方向:机器人智能化焊接及质量控制.E-mail:heyingshui117@163.com
  • 基金资助:
    国家自然科学基金项目(62066029)

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

摘要:

提出了一种基于层次分析过程的T形接头多道平角焊焊接位置自主决策方法。首先,利用视觉传感检测坡口的特征点,并将其他特征点与最右侧特征点之间在水平、垂直方向的相对距离作为因素,建立了层次分析模型。其次,基于平角焊腹板角变形控制经验设计了一种比较矩阵元素计算方法。最后,基于最大后验权重原则建立了焊接位置自主选定方法。不同板厚的多道填充焊焊接位置自主决策试验显示,本文方法在满足接头角变形控制的前提下,决策的正确率达到90%以上,抗干扰能力强。

关键词: T形接头, 层次分析过程, 焊接位置决策, 角变形控制, 视觉传感

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

中图分类号: 

  • TG409

图1

T形接头K形坡口的焊缝规划"

图2

T形接头焊缝坡口检测"

图3

焊缝轮廓特征点识别流程"

图4

典型的焊缝图像"

图5

焊缝轮廓特征点及定义的坐标系统(指定3个特征点)"

图6

AHP模型(以3个特征点为例)"

图7

基于AHP模型的焊接位置决策流程"

图8

AHP模型对伪特征点的抗干扰能力的验证"

图9

不同焊道下的焊接位置决策结果与焊接结果"

1 周晓,梁燚杰,奚中轩,等. 白车身 B 柱焊接变形模拟及预变形控制方法[J]. 吉林大学学报:工学版,2023,53(8): 2212-2218.
Zhou Xiao, Liang Yi-jie, Xi Zhong-xuan, et al. Welding deformation and compensation method of B-pillar in body-in-white[J]. Journal of Jilin University (Engineering and Technology Edition), 2023, 53(8): 2212-2218.
2 Zhang Chao-hua, Li Suo, Sun Jia-min, et al. Controlling angular distortion in high strength low alloy steel thick-plate T-joints[J]. Journal of Materials Processing Technology, 2019, 267: 257-267.
3 Liu Yan, Shi Lei, Tian Xin-cheng. Weld seam fitting and welding torch trajectory planning based on NURBS in intersecting curve welding[J]. International Journal of Advanced Manufacturing Technology, 2018, 95(5): 2457-2471.
4 Fang H C, Ong S K, Nee A Y C. Adaptive pass planning and optimization for robotic welding of complex joints[J]. Advances in Manufacturing, 2017, 5(2): 93-104.
5 Zhang Yang, Lv Xiao-qing, Xu Lian-yong, et al. A segmentation planning method based on the change rate of cross-sectional area of single V-groove for robotic multi-pass welding in intersecting pipe-pipe joint[J]. International Journal of Advanced Manufacturing Technology, 2019, 101(1): 23-38.
6 Liu Yan, Ren Li-juan, Tian Xin-cheng. A robot welding approach for the sphere-pipe joints with swing and multi-layer planning[J]. International Journal of Advanced Manufacturing Technology, 2019, 105(1): 265-278.
7 刘成文, 彭安华, 杜爱民. 基于级别优序关系和层次分析法的铝合金焊接方法决策[J]. 数学的实践与认识, 2018, 48(11): 150-157.
Liu Cheng-wen, Peng An-hua, Du Ai-min. Decision-making of aluminum alloys welding method based on hierarchy and analytic hierarchy process[J]. Practice and Understanding of Mathematics, 2018, 48(11): 150-157.
8 Bhattacharya A, Singla S. Dissimilar GTAW between AISI 304 and AISI 4340 steel: multi-response optimization by analytic hierarchy process[J]. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 2017, 231(4): 824-835.
9 沈鸿源, 陈华斌, 林涛,等. 应用于铝合金焊接中的被动视觉获取[J]. 上海交通大学学报, 2015, 49(3):341-343.
Shen Hong-yuan, Chen Hua-bin, Lin Tao, et al. Passive visual technology in aluminum alloy welding[J]. Journal of Shanghai Jiaotong University, 2015, 49(3): 341-343.
10 Zhang Chao-hua, Li Suo, Hu Long, et al. Effects of pass arrangement on angular distortion, residual stresses and lamellar tearing tendency in thick-plate T-joints of low alloy steel[J]. Journal of Materials Processing Technology, 2019, 274: No. 116293.
11 He Yin-shui, Ma Guo-hong, Chen Shan-ben. Autonomous decision-making of welding position during multipass GMAW with T-Joints: a Bayesian network approach[J]. IEEE Transactions on Industrial Electronics, 2021, 69(4): 3909-3917.
[1] 王春生, 邹丽, 杨鑫华. 基于邻域粗糙集的铝合金焊接接头疲劳寿命影响因素分析[J]. 吉林大学学报(工学版), 2017, 47(6): 1848-1853.
[2] 段,孙同景,李振华, 黄长伟, 张光先. 全数字逆变电源IIR Butterworth数字滤波[J]. 吉林大学学报(工学版), 2009, 39(增刊2): 311-0314.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!