Paper Title:
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.

  Info
Periodical
Chapter
Chapter 4: Mechatronics and Information
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, C. Yun, L. Zhang, "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
$32.00
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