Error Correction of Radial Displacement in Grinding Machine Tool Spindle by Optimizing Shape and Bearing Tuning
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33104
Error Correction of Radial Displacement in Grinding Machine Tool Spindle by Optimizing Shape and Bearing Tuning

Authors: Khairul Jauhari, Achmad Widodo, Ismoyo Haryanto

Abstract:

In this article, the radial displacement error correction capability of a high precision spindle grinding caused by unbalance force was investigated. The spindle shaft is considered as a flexible rotor mounted on two sets of angular contact ball bearing. Finite element methods (FEM) have been adopted for obtaining the equation of motion of the spindle. In this paper, firstly, natural frequencies, critical frequencies, and amplitude of the unbalance response caused by residual unbalance are determined in order to investigate the spindle behaviors. Furthermore, an optimization design algorithm is employed to minimize radial displacement of the spindle which considers dimension of the spindle shaft, the dynamic characteristics of the bearings, critical frequencies and amplitude of the unbalance response, and computes optimum spindle diameters and stiffness and damping of the bearings. Numerical simulation results show that by optimizing the spindle diameters, and stiffness and damping in the bearings, radial displacement of the spindle can be reduced. A spindle about 4 μm radial displacement error can be compensated with 2 μm accuracy. This certainly can improve the accuracy of the product of machining.

Keywords: Error correction, High precision grinding, Optimization, Radial displacement, Spindle.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1109778

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1794

References:


[1] B. G. Choi, B. S. Yang, Optimum shape design of rotor shafts using genetic algorithm, Journal of Vibration and Control 6 (2000) 207-222.
[2] Y. H. Kim, A. Tan, B. S. Yang, W.C. Kim, B. K. Choi, Y. S. An, Optimum shape design of rotating shaft by ESO Method, Journal of Mechanical Science and Technology 21 (2007) 1039-1047.
[3] M.A. Alfares, A.A. Elsharkawy, Effect of axial preloading of angular contact ball bearings on the dynamic of a grinding machine spindle system, Journal of Material Processing Technology, 136 (2003) 48-59.
[4] W. Jacobs, R. Boonen, P. Sas, D. Moens, The influence of the lubricant film on the stiffness and damping characteristics of a deep groove ball bearing, Mechanical Systems and Signal Processing, 42 (2014) 335-350.
[5] B. S. Yang, S. P. Choi, Y. C. Kim, Vibration reduction optimum design of a steam-turbine rotor-bearing system using a hybrid genetic algorithm, Struct Multidisc Optim 30 (2005) 43-53.
[6] F. Straub, M. Inagaki, J. Starke, Reduction of vibration level in rotordynamics by design optimization, Struct Multidisc Optim 34 (2007) 139-149.
[7] M. Aleyaasin, R. Whalley, M. Ebrahimi, Error correction in hydrostatic spindles by optimal bearing tuning, International Journal of Machine Tools & Manufacture 40 (2000) 809-822.
[8] N. Ozawa, T. Sugano, Y. Yoshida, Measuring method of central position of spindle rotation 2nd report, evaluation of new method and experimental results of hydrostatic bearing spindle, Transaction of The Japan Society of Mechanical Engineers, C 60 (572) (1994) 1387–1390.
[9] D. E. Goldberg, Genetic algorithm in search, optimization & machine learning, Addison Wesley, New York (1989).
[10] M. Lalanne, B. G. Ferraris, Rotordynamics prediction in engineering, Wiley, New York (1998).
[11] T. Yamamoto, Y. Ishida, Linear non-linear rotordynamics a modern treatment with applications, John Wiley and Son, New York (2001).
[12] M. I. Friswell, J. E. T. Penny, S. D. Garvey, A. W. Lees, dynamic of rotating machine, Cambridge University Press, New York (2010).