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Materials (Basel). 2019 Oct 17;12(20). pii: E3387. doi: 10.3390/ma12203387.

Temperature Monitoring and Material Flow Characteristics of Friction Stir Welded 2A14-t6 Aerospace Aluminum Alloy.

Wu T1,2, Zhao F3,4, Luo H5,6, Wang H7,8, Li Y9,10.

Author information

1
School of Mechanical Engineering, Shenyang Ligong University, Shenyang 110159, China. wutingke@sia.cn.
2
State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China. wutingke@sia.cn.
3
School of Mechanical Engineering, Shenyang Ligong University, Shenyang 110159, China. zhaofengqun@sia.cn.
4
State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China. zhaofengqun@sia.cn.
5
State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China. luohaitao@sia.cn.
6
Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China. luohaitao@sia.cn.
7
State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China. 1770174@stu.neu.edu.cn.
8
Institute of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China. 1770174@stu.neu.edu.cn.
9
State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China. liyuxin@stumail.neu.edu.cn.
10
Institute of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China. liyuxin@stumail.neu.edu.cn.

Abstract

Aiming at the problems that the temperature in the welding area of friction stir welding (FSW) is difficult to measure and the joints are prone to defects. Hence, it is particularly important to study the material flow in the welding area and improve the welding quality. The temperature of the tool shoulder and the tool pin was monitored by the wireless temperature measuring system. The finite element model of friction stir welding was established and the welding conditions were numerically simulated. The flow law of material of the friction stir welding process was studied by numerical simulation. The material flow model was established by combining the microstructure analysis results, and the forming mechanism of the defects was analyzed. The results show that the temperature in the welding zone is the highest at 1300 rpm, and the temperature at the tool shoulder is significantly higher than that at the tool pin in the welding stage. When high-rotation speeds (HRS) are chosen, the material beneath the tool shoulder tends to be extruded into the pin stirred zone (PSZ) after flowing back to the advancing side. This will cause turbulence phenomenon in the advancing side of the joint, which will easily lead to the formation of welding defects. In the future, temperature monitoring methods and the flow model of material can be used to optimize the welding parameters.

KEYWORDS:

material flow model; numerical simulation; temperature monitoring; turbulence phenomenon; welding defects

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