Doctoral Dissertations

Abstract

"Advancement in technology is usually made by building on previous experiences and learning from past successes and failures. However, knowledge transfer in the broad field of product design is often difficult to accomplish. Research has shown that successful component configurations, observed from existing products, can be dissected and stored for reuse; but few computational tools exist to assist designers during the conceptual phase of design. Many well-known manual methods (e.g. brainstorming, intrinsic and extrinsic searches, and morphological analysis) rely heavily on individual bias and experience and are often time intensive, laborious tasks that may not catch solutions that are functionally analogous, but seemingly unrelated. This research presents an automated concept generation tool that augments traditional activities during the conceptual phase of design"--Abstract, page iii.

Advisor(s)

Stone, Robert B.
McAdams, Daniel A.

Committee Member(s)

Campbell, Matthew I.
Midha, A. (Ashok)

Department(s)

Mechanical and Aerospace Engineering

Degree Name

Ph. D. in Mechanical Engineering

Sponsor(s)

National Science Foundation (U.S.)

Publisher

University of Missouri--Rolla

Publication Date

Fall 2007

Pagination

xvi, 250 pages

Note about bibliography

Includes bibliographical references (pages 236-249).

Rights

© 2007 Cari Rihan Bryant, All rights reserved.

Document Type

Dissertation - Open Access

File Type

text

Language

English

Subject Headings

Genetic algorithms
New products -- Decision making
New products -- Development

Thesis Number

T 9227

Print OCLC #

233635414

Electronic OCLC #

224027057

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