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Uncertainty Analysis of Tool Wear and Surface Roughness in End Milling

[+] Author Affiliations
A. Sequera, Y. B. Guo

The University of Alabama, Tuscaloosa, AL

Paper No. MSEC2013-1245, pp. V002T02A030; 7 pages
doi:10.1115/MSEC2013-1245
From:
  • ASME 2013 International Manufacturing Science and Engineering Conference collocated with the 41st North American Manufacturing Research Conference
  • Volume 2: Systems; Micro and Nano Technologies; Sustainable Manufacturing
  • Madison, Wisconsin, USA, June 10–14, 2013
  • Conference Sponsors: Manufacturing Engineering Division
  • ISBN: 978-0-7918-5546-1
  • Copyright © 2013 by ASME

abstract

Tool wear development is an important parameter to control in order to obtain a specific surface integrity in machining operations. Unfortunately, it is difficult to accurately predict the tool life since wear rates generally exhibit a large scattering, and in consequence a scattering in the surface roughness is also present. This paper presents an approach to evaluate uncertainty contributors for tool wear and surface roughness in end milling of superalloy Inconel 718. Multiple regression analysis was applied to develop empirical models of tool wear and surface roughness based on the experimental data. Principles of uncertainty in measurement were applied and uncertainty contributors were identified. It was shown that cutting speed is the principal contributor to the combined uncertainty of tool wear and surface roughness.

Copyright © 2013 by ASME

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