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Problem Exploration With Many-Objective Visual Analytics

[+] Author Affiliations
Matthew Woodruff, Timothy W. Simpson

Pennsylvania State University, University Park, PA

Paper No. DETC2016-60232, pp. V02BT03A032; 11 pages
doi:10.1115/DETC2016-60232
From:
  • ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 2B: 42nd Design Automation Conference
  • Charlotte, North Carolina, USA, August 21–24, 2016
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 978-0-7918-5011-4
  • Copyright © 2016 by ASME

abstract

This paper discusses problem exploration using Many-Objective Visual Analytics (MOVA). It describes an electric motor product family design problem, including previous attempts at optimized product family designs. The study undertaken in this study shows how MOVA can be used to progressively expose the structure of a problem and develop new design strategies in response. This study presents new designs for the electric motor product family that have superior commonality to any reported in the literature, with equivalent or superior performance for the individual motors.

Copyright © 2016 by ASME

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