Fixture Optimization for Robotic Belt Grinding System

Abstract:

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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.

Info:

Periodical:

Edited by:

Dongye Sun, Wen-Pei Sung and Ran Chen

Pages:

2030-2034

DOI:

10.4028/www.scientific.net/AMM.121-126.2030

Citation:

D. Zhang et al., "Fixture Optimization for Robotic Belt Grinding System", Applied Mechanics and Materials, Vols. 121-126, pp. 2030-2034, 2012

Online since:

October 2011

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Price:

$35.00

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