This investigation is concerned with the design of machine tool spindles based on transient analysis. The dynamic equation of motion of a lathe spindle has been obtained using finite element analysis along with modal analysis. These equations are solved to obtain the displacement distribution along the spindle-workpiece system and thus the maximum dynamic displacement response. The system design parameters should be chosen in such a way that a combination of these would minimize the maximum dynamic displacement response. The global system matrices are replaced by condensed matrices of lower order, which preserve the lower modes with reasonable accuracy. This is done to economize on the computer memory storage and computation time. The system design parameters used are: (a) bearing spacing, (b) bearing stiffness, (c) location of an external damper, and (d) the workpiece diameter. The optimum design variables are selected based on single-parameter variation. The objective of this investigation is the minimization of the maximum dynamic response by a suitable choice of design variables.
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September 1985
This article was originally published in
Journal of Mechanisms, Transmissions, and Automation in Design
Research Papers
Design of Machine Tool Spindles Based on Transient Analysis
V. R. Reddy,
V. R. Reddy
Memorial University of Newfoundland, St. John’s, Newfoundland, Canada A1B 3X5
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A. M. Sharan
A. M. Sharan
Memorial University of Newfoundland, St. John’s, Newfoundland, Canada A1B 3X5
Search for other works by this author on:
V. R. Reddy
Memorial University of Newfoundland, St. John’s, Newfoundland, Canada A1B 3X5
A. M. Sharan
Memorial University of Newfoundland, St. John’s, Newfoundland, Canada A1B 3X5
J. Mech., Trans., and Automation. Sep 1985, 107(3): 346-352 (7 pages)
Published Online: September 1, 1985
Article history
Received:
August 9, 1984
Online:
November 19, 2009
Citation
Reddy, V. R., and Sharan, A. M. (September 1, 1985). "Design of Machine Tool Spindles Based on Transient Analysis." ASME. J. Mech., Trans., and Automation. September 1985; 107(3): 346–352. https://doi.org/10.1115/1.3260720
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