0

Full Content is available to subscribers

Subscribe/Learn More  >

A Graph Theory Based Method for Functional Decoupling of a Design With Complex Interaction Structure

[+] Author Affiliations
Hilario L. Oh

Massachusetts Institute of Technology, Cambridge, MA

Taesik Lee

KAIST, Daejeon, Korea

Raymond Lipowski

General Motors Corporation, Detroit, MI

Paper No. DETC2010-28609, pp. 123-132; 10 pages
doi:10.1115/DETC2010-28609
From:
  • ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 1: 36th Design Automation Conference, Parts A and B
  • Montreal, Quebec, Canada, August 15–18, 2010
  • Conference Sponsors: Design Engineering Division and Computers in Engineering Division
  • ISBN: 978-0-7918-4409-0 | eISBN: 978-0-7918-3881-5
  • Copyright © 2010 by ASME

abstract

The primary objective in design is to achieve the target value of the design’s functional requirement. In design with multiple functional requirements, one way a design fails is the inability to converge to the multiple target values in spite of iterative adjustment of the design parameters. This is symptom of a design that fails to perform in the presence of functional coupling. Functional coupling occurs when two or more functional requirements are affected by a common set of design parameters. It is particularly difficult to identify and break when it involves inter-relation loops created among large number of functional requirements, typical of a large complex system. This paper presents a structured method based on the graph theory to effectively identify and eliminate functional couplings in a design. Use of the graph theory in this context is natural by the fact that inter-relations among functional requirements and design parameters can be represented by a digraph. Each inter-relation corresponds to an arc of the digraph, and functional coupling is equivalent to a cycle in it. The proposed method consists of: 1) represent interactions among functional requirements and design parameters as a digraph, 2) construct the cycle matrix for the digraph, 3) identify those candidate sets of arcs that, if removed, will destroy all cycles in the digraph, and 4) examine engineering feasibility of the candidate solutions. Once target interactions, i.e. arcs, are determined, the design parameters responsible for those interactions are modified to implement the solution. To demonstrate the effectiveness of the proposed method, we apply it to a large complex system, the car door to body, involving 28 functional requirements and design parameters.

Copyright © 2010 by ASME
Topics: Design

Figures

Tables

Interactive Graphics

Video

Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In