首页|Studies from Chongqing University Update Current Data on Robotics (Tool Axis Vec tor Optimization for Robotic Grinding Based On Measured Point Cloud of Complex C urved Blade)
Studies from Chongqing University Update Current Data on Robotics (Tool Axis Vec tor Optimization for Robotic Grinding Based On Measured Point Cloud of Complex C urved Blade)
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2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Robotics is the subjec t of a report. According to news reporting out of Chongqing, People's Republic o f China, by NewsRx editors, research stated, "The tool axis vectors of the path points in the model are prone to mutation because of the curvature characteristi c of the measured model of the complex curved blade. It may cause unsteady robot ic joint motion and further deteriorate the blade's machining quality." Funders for this research include National Natural Science Foundation of China ( NSFC), Innovation Group Science Fund of Chongqing Natural Science Foundation, In novation Fund of Aero Engine Corporation of China. Our news journalists obtained a quote from the research from Chongqing Universit y, "In order to solve this issue, a strategy for optimizing the tool axis vector s is proposed that will smooth the tool axis vectors dispersed at every complete cross-sectional contour of the blade's measured point cloud. This approach buil ds a tool axis smoothing algorithm on top of the surface energy model (TASE). Co mpared to other typical smoothing methods, TASE improves the tool axis vectors' smoothness by more than 22%. Furthermore, the profile smoothness wi th TASE is improved by more than 27% than that with these typical algorithms. In order to generate the uniform robotic joint-motion, a tool axis i teration algorithm (TAI) is further proposed for the smoothed tool axis vectors with TASE at the blade edges. The smoothness of robotic joint-motion with TAI at the blade edges is improved by over 60% than that without TAI."
ChongqingPeople's Republic of ChinaA siaEmerging TechnologiesMachine LearningRoboticsRobotsChongqing Univer sity
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