Fixture Optimization for Robotic Belt grinding system

摘要：

　　The precision is impacted when the robotic grinding path is discontinuous and the gripper needs to be replaced during manufacturing.In order to solve this problem,a new type PPPRRR grinding robot was proposed.The mathematical model for the robotic grinding paths was set up.The factors including the pose of the workpiece respect to the end joint and the position of contact wheel respect to the robot base frame Owere analyzed to influence the grinding ability of the system.Base on the Monte Carlo method the posture and position factors above had been optimized,and the grinding ability of the system was increased.The optimization methods were proved right and workable by grinding golf head experiment.

关键词： fixture optimization kinematics Monte Carlo method robot

作者: Dong Zhang Chao Yun Ling Zhang

作者单位: School of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

会议类型: 国际会议

会议名称: the Second International Conference on Frontiers of Manufacturing and Design Science(第二届制造与设计科学国际会议(ICFMD 2011))

会议地点: 台湾

会议语种:英文

页码: 2030-2034

在线出版日期: 2011-12-11（万方平台首次上网日期，不代表论文的发表时间）