首页|Researchers at Northwestern Polytechnic University Target Robotics (Feasible Spindle Speed Interval Identification Method for Large Aeronautical Component Robotic Milling System)
Researchers at Northwestern Polytechnic University Target Robotics (Feasible Spindle Speed Interval Identification Method for Large Aeronautical Component Robotic Milling System)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ro botics. According to news reporting originatingfrom Xi’an, People’s Republic of China, by NewsRx correspondents, research stated, “Robotic machiningsystems ha ve been widely implemented in the assembly sites of large components of aircraft , such aswings, aircraft engine rooms, and wing boxes. Milling is the first ste p in aircraft assembly.”Financial supporters for this research include Key Research and Development Prog ram of ShaanxiProvince, China Postdoctoral Science Foundation.Our news editors obtained a quote from the research from Northwestern Polytechni c University, “It isconsidered one of the most significant processes because th e quality of the subsequent drilling, broaching,and riveting steps depend stron gly on the milling accuracy. However, the chatter phenomenon mayoccur during th e milling process because of the low rigidity of the components of the robotic m illingsystem (i.e., robots, shape-preserving holders, and rod parts). This may result in milling failure or evenfracture of the robotic milling system. This p aper presents a feasible spindle speed interval identificationmethod for large aeronautical component milling systems to eliminate the chatter phenomenon. It i sbased on the chatter stability model and the analysis results of natural frequ ency and harmonic response.Firstly, the natural frequencies and harmonics of th e main components of the robot milling system areanalyzed, and the spindle spee d that the milling system needs to avoid is obtained. Then, a flutter stabilitymodel considering the instantaneous cutting thickness is established, from which the critical cutting depthcorresponding to the spindle speed can be obtained. Finally, the spindle speed interval of the robotic millingsystem could be optim ized based on the results obtained from the chatter stability model and the analysis result of the natural frequency and harmonic response of the milling system.”
Xi’anPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningRoboticsRobotsNorthwestern Polytechnic University
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