Modal analysis of motorized spindle using finite element method

Authors

  • Miloš Knežev University of Novi Sad, Faculty of Technical Sciences, Departman for Production Engineering, Trg Dositeja Obradovica 6, 21000 Novi Sad, Serbia
  • Aleksadar Živkovic University of Novi Sad, Faculty of Technical Sciences, Departman for Production Engineering, Trg Dositeja Obradovica 6, 21000 Novi Sad, Serbia
  • Dejan Marinković University of Novi Sad, Faculty of Technical Sciences, Departman for Production Engineering, Trg Dositeja Obradovica 6, 21000 Novi Sad, Serbia
  • Cvijetin Mladjenović University of Novi Sad, Faculty of Technical Sciences, Departman for Production Engineering, Trg Dositeja Obradovica 6, 21000 Novi Sad, Serbia
  • Calin Andrei Politehnica University of Bucharest, Faculty of Mechanical Engineering and Mechatronics, Department of Machine Elements and Tribology, Splaiul Independentei no. 313, sector 6, Bucharest, Romania
  • Vojin Ilić University of Novi Sad, Faculty of Technical Sciences, Departman for Production Engineering, Trg Dositeja Obradovica 6, 21000 Novi Sad, Serbia

DOI:

https://doi.org/10.24867/JPE-2023-01-009

Keywords:

modal analysis, FEM, motorized spindle

Abstract

Dynamic market conditions shows contant need to significantly shorten the time cycle of the product design phase, with demands for the lowest possible price and highest possible quality. Motorized spindle is already widely used as the main spindle of modern machine tools. Predict dynamic characteristic through numerical simulations is trend among machine tool manufacturers, especially when high accuracy is involved. Finite element method (FEM) is the most commonly used method for analyzing the dynamic behavior of the main spindle. In this work, a model was developed based on the finite element method. The obtained results are compared with experimental test.

Published

2023-07-19

Issue

Section

Original Research Article

How to Cite

Modal analysis of motorized spindle using finite element method. (2023). Journal of Production Engineering, 26(1), 9-12. https://doi.org/10.24867/JPE-2023-01-009