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An Accurate Kinematics Model of the Sanding-Belt-Wheel Driving System of a CNC Grinding Machine and its Application

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An Accurate Kinematics Model of the Sanding-Belt-Wheel Driving System of a CNC Grinding Machine and its Application

Qi, Xietian (2021) An Accurate Kinematics Model of the Sanding-Belt-Wheel Driving System of a CNC Grinding Machine and its Application. Masters thesis, Concordia University.

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Abstract

CNC Sanding-belt grinding machines are widely used in the manufacturing industry. These machine tools are featured with multiple linear and rotary axes, complex driving system of the sanding belt wheel, and very high investment. The advantages of these machine tools include making complex parts with high accuracy and being productive without manual operation. A kernel technique of these machine tools is to align the sanding belt well match the part geometry so that the sanding belt can accurately grind complex parts. However, the driving system of the sanding belt wheel is complicated, and the kinetics model of the driving system has not been established. Currently, the motion of the sanding belt wheel is simplified as vertical ups and downs. The drawback of the current kinetics of the sanding belt wheel costs the sanding belt location and the part accuracy. The objective of this research is to establish the accurate kinetics model of the driving system and apply this model to calculate the sanding belt wheel location. In this thesis, first, the mechanism of the driving system is investigated. based on geometric principles of the pressure drive system, a mathematical model is built to predict the position of the sanding belt wheel under different grinding pressure. Then a novel kinematics chain considering the sanding belt wheel position is developed to generate various NC programs for different grinding pressure. This kinematics chain is novel, and no one has done relevant research before. The experimental results showed that the NC program after compensation enhanced the machining quality significantly.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Mechanical, Industrial and Aerospace Engineering
Item Type:Thesis (Masters)
Authors:Qi, Xietian
Institution:Concordia University
Degree Name:M.A.
Program:Mechanical Engineering
Date:6 August 2021
Thesis Supervisor(s):Chen, Zezhong
ID Code:988934
Deposited By: Xietian Qi
Deposited On:29 Nov 2021 17:05
Last Modified:29 Nov 2021 17:05
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