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The Reduced Tolerance Allocation Problem

[+] Author Affiliations
David Sh. L. Shoukr

Minia University, Minia, Egypt

Mohamed H. Gadallah, Sayed M. Metwalli

Cairo University, Cairo, Egypt

Paper No. IMECE2016-65848, pp. V011T15A023; 10 pages
doi:10.1115/IMECE2016-65848
From:
  • ASME 2016 International Mechanical Engineering Congress and Exposition
  • Volume 11: Systems, Design, and Complexity
  • Phoenix, Arizona, USA, November 11–17, 2016
  • Conference Sponsors: ASME
  • ISBN: 978-0-7918-5065-7
  • Copyright © 2016 by ASME

abstract

Tolerance allocation is a necessary and important step in product design and development. It involves the assignment of tolerances to different dimensions such that the manufacturing cost is minimum, while maintaining the tolerance stack-up conditions satisfied. Considering the design functional requirements, manufacturing processes, and dimensional and/or geometrical tolerances, the tolerance allocation problem requires intensive computational effort and time. An approach is proposed to reduce the size of the tolerance allocation problem using design of experiments (DOE). Instead of solving the optimization problem for all dimensional tolerances, it is solved for the significant dimensions only and the insignificant dimensional tolerances are set at lower control levels. A Genetic Algorithm is developed and employed to optimize the synthesis problem. A set of benchmark problems are used to test the proposed approach, and results are compared with some standard problems in literature.

Copyright © 2016 by ASME

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