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Reduced Order Modeling for Inverse Parameter Identification of Ti-5111 Friction Stir Welding

[+] Author Affiliations
Athanasios P. Iliopoulos, John G. Michopoulos, Samuel Lambrakos

Naval Research Laboratory, Washington, DC

Paper No. DETC2016-59890, pp. V01AT02A014; 11 pages
doi:10.1115/DETC2016-59890
From:
  • ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 1A: 36th Computers and Information in Engineering Conference
  • Charlotte, North Carolina, USA, August 21–24, 2016
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 978-0-7918-5007-7
  • Copyright © 2016 by ASME

abstract

Forward and inverse modeling of the friction stir welding (FSW) process is an important endeavor, which can be used to optimize process parameters that can play a significant role on achieving specification requirements of manufactured parts. In this work a Reduced Order Modeling (ROM) approach is presented with the aim to reduce the forward step evaluation of an optimization loop that implements the solution of the relevant inverse problem. This is done in order to reduce the overall computational time required. The feasibility and efficiency of this approach is demonstrated through its implementation and the comparison between the full and the reduced order model implementations.

Copyright © 2016 by ASME
Topics: Friction , Welding , Modeling

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