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Chip Segmentation in Machining: A Study of Deformation Localization Characteristics in Ti6Al4V

[+] Author Affiliations
Abhijit Chandra, Jie Wang, Gap Yong Kim

Iowa State University, Ames, IA

Pavan Karra

Trine University, Angola, IN

Adam Bragg

Flint Hills Resources, Rosemount, MN

Paper No. MSEC2013-1070, pp. V001T01A023; 7 pages
doi:10.1115/MSEC2013-1070
From:
  • ASME 2013 International Manufacturing Science and Engineering Conference collocated with the 41st North American Manufacturing Research Conference
  • Volume 1: Processing
  • Madison, Wisconsin, USA, June 10–14, 2013
  • Conference Sponsors: Manufacturing Engineering Division
  • ISBN: 978-0-7918-5545-4
  • Copyright © 2013 by ASME

abstract

Chip segmentation by deformation localization is an important process in a certain range of velocities and might be desirable in reducing cutting forces and by improving chips’ evacuation, whereas few studies of practical criteria to calculate shear band spacing are available in literature. This paper extends nonlinear dynamics model for chip segmentation by allowing time varying orientation of the shear plane that are pronounced in strain hardening materials. The model extends the non-linear dynamics approach with additional state variables to the Burns and Davies approach. The model is simulated numerically to predict the shear bands of the chip. The numerical simulation of the model is compared with experimental observations and is in agreement with experimental observations in Ti6Al4V. This offers guidance to predict shear band spacing of other materials.

Copyright © 2013 by ASME

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