Authors : R. Deepthi; K. Vidya; S. Yamini; Dr. VVS Haranadh Prasad

Volume/Issue : Volume 9 - 2024, Issue 11 - November

Google Scholar : https://tinyurl.com/3w4n5uve

Scribd : https://tinyurl.com/tk3xe233

DOI : https://doi.org/10.5281/zenodo.14613809

Abstract : In machine tools, spindle refers to that rotating axis of the machine. The machine tool spindle is considered the most important mechanical part of the metal removal process associated with machining operations. Flexible spindles give rise to unstable chatter vibrations. Modern spindles are made using the fundamental principles of metal-cutting dynamics and machine design. The expert spindle design system technique presented in this study is founded on the effective use of design expertise, machine design laws, and metal cutting dynamics. By determining the work material, the ideal cutting conditions, and the most frequently used tools on the machine tool, the spindle configuration is determined. The paper provides AI design guidelines that result in an automated and interactive spindle drive configuration design. With the arrangement of bearings, a spindle's structural dynamics are dispersed across the spindle shaft. The expert system's suggested design is illustrated by creating a spinning component for a CNC milling machine in an automatic manner. Most of them also opt to optimize some of the design parameters, such as shaft diameters, bearing span, and bearing preload, with an aim to minimize static deflection.

Keywords : Spindle, Shaft, Bearing Stiffness, Fuzzy Logic, Deflection, Deformation.

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