结合焊接机器人和变位机的增材制造方法  

Additive manufacturing method combining with welding robot and positioner

作　　者：张弛[1,2] 李宏杰 朱彦军[1] 武帅 王安红[1,2] ZHANG Chi;Li Hongjie;ZHU Yanjun;WU Shuai;WANG Anhong(Taiyuan University of Science and Technology,Taiyuan 030024,China;Internet+3D Printing Collaborative Innovation Center in Shanxi Province,Taiyuan 030024,China)

机构地区：[1]太原科技大学,山西太原030024 [2]山西省互联网+3D打印协同创新中心,山西太原030024

出　　处：《电焊机》2018年第4期104-107,共4页Electric Welding Machine

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。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.

关 键 词：焊接机器人 增材制造 BP神经网络 圆弧插补 

分 类 号：TG47[金属学及工艺—焊接]