The Vibration Modeling and Analysis of Stewart Platform-Based Machine Tool

Article Preview

Abstract:

In this paper, the vibration modeling and analysis of Stewart platform-based machine tool is presented. The vibration modeling includes the derivation of the vibration equation and the detailed processes to deal with that. Each of the kinematic chains is considered as a flexible chain and simplified into a spring-damper submodel. Vibration modeling of the machine tool is established by Newton-Euler approach. Then, the natural frequencies of the moving platform are obtained based on the vibration equation by the aid of MATLAB. The vibration characteristics of the machine tool are analyzed and discussed by means of the numerical examples considering the different poses of the moving platform. The conclusion can be drawn that the natural frequencies of the platform are influenced by the poses of the platform.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

421-424

Citation:

Online since:

September 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] C. Gosselin, Stiffness mapping of parallel manipulators, IEEE Transactions on Robotics and Automation 6 (3) (1990) 377-382.

DOI: 10.1109/70.56657

Google Scholar

[2] K. Miller and R. Clavel, The Lagrange-based model of Delat-4 robot dynamics, Robetersysteme 8 (1) (1992) 49-54.

Google Scholar

[3] J. Wang and C. M. Gosselin, A new approach for the dynamic analysis of parallel manipulators, Multibody System Dynamics 2 (3) (1998) 317-334.

Google Scholar

[4] B. Dasgupta and T. S. Mruthyunjaya, A Newton-Euler formulation for the inverse dynamics of the Stewart platform manipulator, Mechanism and Machine Theory 33 (8) (1998) 1135-1152.

DOI: 10.1016/s0094-114x(97)00118-3

Google Scholar

[5] S. F. Chen, I. Kao, The Conservative Congruence Transformation for Joint and Cartesian Stiffness Matrices of Robotic Hands and Fingers, The International Journal of Robotics Research 19 (9) (2000) 835-847.

DOI: 10.1177/02783640022067201

Google Scholar