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Feature Based Costing (FBC) of Welded Assemblies: A Genetic Approach

[+] Author Affiliations
Gautam Subbarao, Michael L. Philpott, R. Sebastian Schrader

University of Illinois at Urbana Champaign, Urbana, IL

Dale E. Holmes

John Deere Seeding Group, Moline, IL

Paper No. IMECE2002-39425, pp. 707-715; 9 pages
  • ASME 2002 International Mechanical Engineering Congress and Exposition
  • Design Engineering
  • New Orleans, Louisiana, USA, November 17–22, 2002
  • Conference Sponsors: Design Engineering Division
  • ISBN: 0-7918-3628-2 | eISBN: 0-7918-1691-5, 0-7918-1692-3, 0-7918-1693-1
  • Copyright © 2002 by ASME


A genetic algorithm based welding planner capable of using parametric features to determine the manufacturing cost of welded assemblies has been developed. Parametric weld feature information obtained from a CAD system is translated to a hybrid traveling salesman problem. A genetic algorithm is used to search for a sequence of welds that minimizes the cost of the welded assembly. Emphasis is placed on developing a mechanistic, feature based DFM tool, with the aim of rapidly providing welded assembly cost feedback to the designer in a CAD environment, while maintaining a balance between accuracy and computational speed.

Copyright © 2002 by ASME



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