Additive manufacturing method combining with welding robot and positioner

ZHANG Chi; LI Hongjie; ZHU Yanjun; WU Shuai; WANG Anhong

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Additive manufacturing method combining with welding robot and positioner
- role： First author 第一作者
- Affiliation：
  Taiyuan University of Science and Technology
  Internet+3D Printing Collaborative Innovation Center in Shanxi Province
ZHANG Chi
1 2 ,
- Affiliation：
  Taiyuan University of Science and Technology
  Internet+3D Printing Collaborative Innovation Center in Shanxi Province
LI Hongjie
1 2 ,
- Affiliation：
  Taiyuan University of Science and Technology
ZHU Yanjun
1 ,
- Affiliation：
  Taiyuan University of Science and Technology
  Internet+3D Printing Collaborative Innovation Center in Shanxi Province
WU Shuai
1 2 ,
- Affiliation：
  Taiyuan University of Science and Technology
  Internet+3D Printing Collaborative Innovation Center in Shanxi Province
WANG Anhong
1 2
Vol. 48, Issue 4, Pages: 104-107(2018)
DOI：

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ZHANG Chi, LI Hongjie, ZHU Yanjun, et al. Additive manufacturing method combining with welding robot and positioner. [J]. 48(4):104-107(2018)
DOI：

ZHANG Chi, LI Hongjie, ZHU Yanjun, et al. Additive manufacturing method combining with welding robot and positioner. [J]. 48(4):104-107(2018) DOI：

Additive manufacturing method combining with welding robot and positioner

ZHANG Chi ; LI Hongjie ; ZHU Yanjun ; WU Shuai ; WANG Anhong ;

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Abstract

With the advance of industrial modernization,the development of robot-based industrial automation manufacturing technology has become a trend. The welding system of MOTOMAN-UP6 arc welding robot and 2R rotation-tilt positioner is designed according to additive manufacturing（3D printing） technique. The ideal welding parameters affect the formation of a standard cylinder. Therefore,the influence of welding current and welding speed on the size of bead is studied by using the BP neural network algorithm,and the ideal experimental welding parameters are predicted. Through a large number of experiments,a relatively standard cylinder is obtained.Comparing with rapid forming methods for welding robots without a positioner,this method is easier,and the deformation of the welding layer is smaller,the surface of the bead is smooth.

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Keywords

welding robot; additive manufacturing; BP neural network; circular interpolation

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摘要

随着工业现代化水平的推进,发展以机器人为主的工业自动化制造技术成为一种趋势。结合增材制造(3D打印)技术,设计由MOTOMAN-UP6型弧焊机器人与2R旋倾变位机构成的焊接系统。理想的焊接参数影响标准圆柱体的成型,采用BP神经网络算法研究焊接电流、焊接速度对焊道尺寸的影响,并预测出理想的实验焊接参数。通过大量实验获得较为标准的圆柱体。与不使用变位机的焊接机器人快速成型方法相比,该方法方便简单、焊层变形较小、焊道表面光滑平整。