A simulation platform for optimal selection of robotic belt grinding system parameters

Blade is one of the important components in aero-engine, turbine, and wind generators. The quality of the blades has big influence on the performance of the machine. So high profile accuracy and low surface roughness were put forward. Ruled blade is just one of the blades of aero-engine, which has simple profile and little distort. This blade was grinded by two sides together in the paper. Therefore, in this thesis, the main objects are as fallow: firstly, according to the characteristics of the abrasive belt grinding, analysis the selection of grinding distance for the blade. Secondly, established the model of contact wheel compare grinding system, derived the range of wrap angle of contact wheel, and then two region were make out, one is the region can be directly grinding, and another region which may lead to wheel interference. At last the grinding path of the center of the contact wheel was obtained by calculated the blade model.

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Design and Experiment of Robotic Belt Grinding System with Constant Grinding Force

2018 25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) ◽

10.1109/m2vip.2018.8600899 ◽

2018 ◽

Cited By ~ 4

Author(s):

Kaiwei Ma ◽

Xingsong Wang ◽

Donghua Shen

Keyword(s):

Grinding Force ◽

Belt Grinding ◽

Robotic Belt Grinding ◽

Grinding System

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Calibration and accuracy analysis of robotic belt grinding system using the ruby probe and criteria sphere

Robotics and Computer-Integrated Manufacturing ◽

10.1016/j.rcim.2017.12.006 ◽

2018 ◽

Vol 51 ◽

pp. 189-201 ◽

Cited By ~ 16

Author(s):

Xiaohu Xu ◽

Dahu Zhu ◽

Jinshan Wang ◽

Sijie Yan ◽

Han Ding

Keyword(s):

Accuracy Analysis ◽

Belt Grinding ◽

Robotic Belt Grinding ◽

Grinding System

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A Normal Force Estimation Model for a Robotic Belt-grinding System

2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) ◽

10.1109/aim43001.2020.9158825 ◽

2020 ◽

Author(s):

Yu-Hsun Wang ◽

Yuan-Chieh Lo ◽

Pei-Chun Lin

Keyword(s):

Normal Force ◽

Force Estimation ◽

Estimation Model ◽

Belt Grinding ◽

Robotic Belt Grinding ◽

Grinding System

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Fixture Optimization for Robotic Belt Grinding System

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.121-126.2030 ◽

2011 ◽

Vol 121-126 ◽

pp. 2030-2034

Author(s):

Dong Zhang ◽

Chao Yun ◽

Ling Zhang

Keyword(s):

Mathematical Model ◽

Optimization Methods ◽

Belt Grinding ◽

Robotic Grinding ◽

The Monte Carlo Method ◽

New Type ◽

Set Up ◽

Robotic Belt Grinding ◽

The Mathematical Model ◽

Grinding System

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.

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