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Author:

Wu, S. (Wu, S..) | Chen, D. (Chen, D..) | Fan, J. (Fan, J..) | Tang, Y. (Tang, Y..)

Indexed by:

EI Scopus SCIE

Abstract:

By studying the edge-workpiece engagement (EWE), and taking two inclination (lead and tilt) angles into account, the time-varying cutting areas and boundaries are determined, the instantaneous numerical chip thickness (NCT) within different EWEs at each point of the edge curve during the milling process of the ball end milling tool is solved, and the milling force and stability are calculated. The milling force and SLD of the model in this paper (NCT-EWE model) and the model in the literature (Altintas and Otzurk model) are compared. It is verified that the algorithm adopted in this paper has higher accuracy, and the algorithm is simple and fast. In addition, it is found that increasing the lead and tilt angles can reduce the milling force and improve the stability, and the free vibration in the stable region decreases gradually, while in the non-stable region, it increases. The algorithm in this paper has certain theoretical and application value for five-axis milling. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.

Keyword:

SLD Inclination angles Edge-workpiece engagement Numerical chip thickness Algorithm

Author Community:

  • [ 1 ] [Wu S.]Mechanical Industry Key Laboratory of Heavy Machine Tool Digital Design and Testing, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Wu S.]Beijing Key Laboratory of Advanced Manufacturing Technology, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, 100124, China
  • [ 3 ] [Chen D.]Mechanical Industry Key Laboratory of Heavy Machine Tool Digital Design and Testing, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, 100124, China
  • [ 4 ] [Chen D.]Beijing Key Laboratory of Advanced Manufacturing Technology, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, 100124, China
  • [ 5 ] [Fan J.]Mechanical Industry Key Laboratory of Heavy Machine Tool Digital Design and Testing, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, 100124, China
  • [ 6 ] [Fan J.]Beijing Key Laboratory of Advanced Manufacturing Technology, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, 100124, China
  • [ 7 ] [Tang Y.]Beijing Institute of Control Engineering, Beijing, 100124, China

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Source :

International Journal of Advanced Manufacturing Technology

ISSN: 0268-3768

Year: 2024

Issue: 9-10

Volume: 132

Page: 4607-4624

3 . 4 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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