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Optimum Disassembly Process With Genetic Algorithms for a Compressor

[+] Author Affiliations
Yuan Mao Huang, Yu-Chung Liao

National Taiwan University, Taipei, Taiwan

Paper No. DETC2006-99425, pp. 189-198; 10 pages
  • ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 1: 32nd Design Automation Conference, Parts A and B
  • Philadelphia, Pennsylvania, USA, September 10–13, 2006
  • Conference Sponsors: Design Engineering Division and Computers and Information in Engineering Division
  • ISBN: 0-7918-4255-X | eISBN: 0-7918-3784-X
  • Copyright © 2006 by ASME


This study presents an optimum disassembly process with genetic algorithms. The disassembly sequence matrix including the interference matrix, the special connection relation and the contact matrix of a product are used to study the disassembly process. The genetic algorithms are utilized for the multi-objective function formed by the instability function, tool change function, disassembly direction function and inconvenient function due to the gravity to obtain the optimum disassembly process. The disassembly processes of a compressor are investigated and improved, and a redesigned compressor is recommended.

Copyright © 2006 by ASME



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