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Optimal Machining Parameter Selection in Titanium Milling Using a Decision Analytic Framework

[+] Author Affiliations
Jaydeep Karandikar

Georgia Institute of Technology, Atlanta, GA

Chris Tyler, Tony Schmitz

University of North Carolina at Charlotte, Charlotte, NC

Ali Abbas

University of Illinois at Urbana-Champaign, Urbana, IL

Paper No. MSEC2014-4023, pp. V001T04A032; 9 pages
doi:10.1115/MSEC2014-4023
From:
  • ASME 2014 International Manufacturing Science and Engineering Conference collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference
  • Volume 1: Materials; Micro and Nano Technologies; Properties, Applications and Systems; Sustainable Manufacturing
  • Detroit, Michigan, USA, June 9–13, 2014
  • Conference Sponsors: Manufacturing Engineering Division
  • ISBN: 978-0-7918-4580-6
  • Copyright © 2014 by ASME

abstract

The paper presents a decision analytic framework for optimal machining parameter selection in titanium milling, considering uncertainty in tool life and stability. An influence diagram showing the decision situation, the corresponding uncertainties and the value was developed. The objective was to select optimum machining parameters to minimize machining cost while considering uncertainty in tool life and stability. The uncertainties were characterized using a probability distribution taking into account all available information. The cost associated with tool failure and unstable cutting conditions was incorporated in the cost formulation. A process probability tree showing the uncertainties and the corresponding costs was constructed. The optimal machining parameters were selected which minimize the expected machining cost. Results show a 90% reduction in machining cost as compared to manufacturer recommended parameters. A discussion section regarding inference and experimental design is included.

Copyright © 2014 by ASME
Topics: Machining , Milling , Titanium

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