Pattern-based decomposition method and partitioning analysis for complex redesign problems.
Published: 2004
Language: eng
Number of pages: 264
Description: Modern engineering design problems are usually large-scale, complex, and computationally intensive, and thus their redesign to accommodate new requirements poses a considerable challenge. In this thesis, a methodology is developed to analyze and decompose a redesign problem, represented through a binary design dependency matrix (DDM), in order to delimit the portions of the design model for re-computation and facilitate the development of re-computation strategies and detailed redesign plans. The results are portrayed through pattern-based representations. The methodology consists of two components: (1) redesign scenarios representation, in which all the possible redesign scenarios that can arise in practice are characterized through redesign decomposition patterns, and (2) redesign partitioning analysis, in which a given DDM is decomposed to produce all possible redesign pattern solutions that satisfy user-specified decomposition constraints. Two example redesign problems, one for a DC motor and one for a relief valve, are used to illustrate and validate the methodology.
Notes: Adviser:  Li Chen.

Thesis (M.A.Sc.)--University of Toronto, 2004.

Electronic version licensed for access by U. of T. users.

Source: Masters Abstracts International, Volume: 43-03, page: 0975.

MICR copy on microfiche (3 microfiches).