Fixture Optimization for Robotic Belt Grinding System

Abstract:

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 {O}were 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.

• Periodical: Applied Mechanics and Materials (Volumes 121-126)
• Pages: 2030-2034
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.121-126.2030
• Online since: October 2011
• Authors: Dong Zhang, Chao Yun, Ling Zhang
• Keywords: Fixture Optimization, Kinematics, Monte-Carlo Method (MC-Method), Robot

References

[1] Huang Yun, Huang Zhi. Development and Key Technologies of Abrasive Belt Grinding [J]. China Mechanical Engineering, 2007, 18: 2263 – 2267 (in Chinese).

[2] Wang Weilang, Pan Fusheng, Chen Yanjun, Huang Yun, Peng Xiaodong. [J]Present Research Status and Development Prospect of Abrasive Belt Grinding Technique, Materials Review, 2006, 20 (2): 106～108.

[3] Minor M, Mukherjee Ra. A dexterous manipulator for minimally invasive surgery [A]. Proceedings of the 1999 IEEE International Conference on Robotics & Automation [C]. Detroit, Michigan, 1999, 3: 2057~(2064).

DOI: 10.1109/robot.1999.770410

[4] Zhang dong, Yun chao, Song Dezheng, Gao Zhihui. Dexterity optimization based on orthogonal test of 3P3R grinding robot [J]. Journal of Beijing University of Aeronautics and Astronautics, 2010, 36(9): 1075～1079.

[5] Xing Hongguang, Wang Lihong, Zhang Yuru. Dexterity analysis of Robot for neurosurgery [J]. Journal of Beijing University of Aeronautics and Astronautics, 2004, 30(4): 312～315.

[6] Yang DCH, Lai ZC. On the Dexterity of robotic manipulators-service angle [J]. ASME Journal of Mechanisms, Transmissions, and Automation in Design, 1985, 107(3): 162～270.

DOI: 10.1115/1.3258719

[7] Song SM, Lei Chimeng, Wang Jiang. The End-Effector Angle and Manipulator Dexterous Workspace[J]. ASME Journal of Mechanical Design, 1990, 112(3): 278～282.

DOI: 10.1115/1.2912605

[8] Nikos Vlassis, Marc Toussaint, Georgios Kontes and Savas Piperidis. Learning model-free robot control by a Monte Carlo EM algorithm, [J]Autonomous Robots. Volume 27, Number 2, 123-130.

DOI: 10.1007/s10514-009-9132-0