首页|New Research on Robotics from Shanghai Jiao Tong University Summarized (Prediction of Surface Topography in Robotic Ball-End Milling Considering Tool Vibration)
New Research on Robotics from Shanghai Jiao Tong University Summarized (Prediction of Surface Topography in Robotic Ball-End Milling Considering Tool Vibration)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on robotics are presented in a new report. According to news reporting from Shanghai, People's Republic of China, by NewsRx journalists, research stated, "Because of their low cost, large workspace, and high flexibility, industrial robots have recently received significant attention in large-scale part machining." Funders for this research include China Postdoctoral Science Foundation; National Key Research And Development Program of China For Robotics Serialized Harmonic Reducer Fatigue Performance Analysis And Prediction And Life Enhancement Technology Research. The news reporters obtained a quote from the research from Shanghai Jiao Tong University: "However, due to the stiffness limitations in robot joints and links, industrial robots are prone to vibration during milling processes, which leads to poor surface topography. In robotic milling processes, it remains challenging to simulate the surface topography accurately. This paper presents a mathematical model of surface topography combined with the effects of process parameters and tool vibrations in robotic milling. In this method, the kinematic trajectory of the cutting edge is first calculated by considering the cutter geometry, tool eccentricity, tool orientation, and redundancy angle. After that, the posture-dependent dynamic characteristics of the robotic milling system are predicted using an inverse distance-weighted approach. Then, a dynamic model of the robotic milling system is constructed for calculating tool vibration displacements."
Shanghai Jiao Tong UniversityShanghaiPeople's Republic of ChinaAsiaEmerging TechnologiesMachine LearningNano-robotRobotRoboticsRobots