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机构地区:[1]兰州理工大学有色金属合金省部共建教育部重点实验室,兰州730050 [2]兰州理工大学甘肃省有色金属新材料省部共建国家重点实验室,兰州730050
出 处:《焊接学报》2007年第2期9-12,共4页Transactions of The China Welding Institution
基 金:国家自然科学基金资助项目(50675093);甘肃省自然科学基金资助项目(3ZS051-A25-029);教育部春晖计划项目;甘肃省教育厅基金资助项目
摘 要:针对铝合金在焊接过程中热积累作用强、恒参数焊接时容易产生各种缺陷的问题,设计了基于视觉传感的熔宽闭环智能控制系统。分析了各个脉冲参数对熔宽的影响规律。结果表明,理想的铝合金脉冲MIG焊接过程不仅要控制焊接热输入,同时要保持焊接过程的稳定性,单变量控制器很难满足以上要求。为此设计了模糊专家控制系统,模糊控制器控制焊接热输入,专家系统负责脉冲参数匹配从而保证稳定的焊接过程。焊接试验表明,控制效果良好。Because of the strong thermal accumulating effect,many kinds of defects were easily produced in aluminum alloy MIG(metal inert-gas) welding process.The intelligent closed-loop control system of the vision-based aluminum alloy MIG welding pool width was developed to solve this problem.The influences of welding pulse parameters on welding pool width were analyzed.The research shows that in order to obtain the ideal aluminum alloy MIG welding process,the control system must not only control the heat input but also remain the stabilization of welding process.The traditional single input and single output control system can't satisfy this control requirement,so an intelligent controller based on Fuzzy controller and expert system(ES) was designed.The Fuzzy controller controls the heat input,while ES makes the welding parameters matching to remain the stabilization of welding process.The welding experiments show that the requirements for detecting and control of weld pool width could be satisfied by the established system.
关 键 词:铝合金 熔化极惰性气体保护焊 视觉传感 智能控制
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