文章摘要
搅拌摩擦焊接过程控制研究综述
Research Summary of Friction Stirs Welding Process Control
Received:August 12, 2015  Revised:September 10, 2015
DOI:10.3969/j.issn.1674-6457.2015.05.008
中文关键词: 搅拌摩擦焊接  焊接过程控制  区域温度  轴向力  焊接扭矩
英文关键词: friction stir welding  welding process control  regional temperature  axial force  welding torque
基金项目:国家自然科学基金(51205175,51375218)
Author NameAffiliation
CHEN Shu-jin School of Materials Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang 212003, China 
XUE Jun-rong School of Materials Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang 212003, China 
LI Hao School of Materials Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang 212003, China 
NI Rui-yang School of Materials Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang 212003, China 
ZHOU Yang School of Materials Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang 212003, China 
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中文摘要:
      从搅拌摩擦焊接过程参数测控角度出发,综述了焊接区域温度、轴向力等主要过程参数的检测方法、各参数的影响因素分析;重点回顾了搅拌摩擦焊接过程参数的控制研究,主要内容为焊接区域温度的控制、轴向力控制、扭矩控制、压入深度控制、焊缝自动跟踪,当前主要采用 PID 控制器;由于过程模型的建立较为困难,自适应控制是较为理想的方法,控制律和稳定设计是关键环节。 进一步加强焊接机理研究,建立更为完善的过程控制模型,才能进一步实现搅拌摩擦焊接过程的高度自动化、智能化。
英文摘要:
      From the perspective of detection and control of friction stir welding,this paper reviewed the detecting methods of the main process parameters, such as the temperature of the weld zone, the axial force, focused on reviewing the process parameters control of the welding zone temperature control, the axial force control, torque control, indentation depth control and seam tracking, PID controllers currently was used in existing studies. Since the establishment of the process model is relatively difficult, adaptive control is an ideal method to solve this problem. The control law and stability design are key link. In order to realize the highly automatic and intelligent control of friction stir welding process, it is necessary to further strengthen the welding mechanism research, establish a more perfect process control model at the same time.
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