"Component selection can be very difficult for designers, since there can be, and often are, more solutions than a designer, or even a team of designers can investigate in a practical amount of time. The tools presented here can help designers who wish to use failure analysis as the major ranking criterion to rank solutions. One tool allows for intelligent component selection at the design level by investigating the component’s impact on the overall failure mode distribution. It allows designers to use all failure modes, or to use only those modes pertinent to the specific design. This is accomplished by using outside knowledge from aspects such as operating environment and useful life.
The second tool presented combines techniques that are mutually beneficial to designers into an automated algorithm that selects an optimum component combination for a set of defined functional needs. The program uses an automated concept generator to quickly generate all possible combinations. Unassemblable component sets are eliminated using a Design Structure Matrix. The remaining combinations are then sorted based on likeliness of failure and presented to the designer. The designer can then review the best combinations and compare them with other criteria to make a final selection. A case study is used to measure the usefulness of these two tools. Using the functional model from a student design course requiring the design and construction of an air-powered vehicle, a set of designs was selected by the program to be the least likely to fail. Using these predictions, student designs that were very similar to this design were found to have a lower occurrence of failure during competition"--Abstract, page iv.
McAdams, Daniel A.
Stone, Robert B.
Dharani, Lokeswarappa R.
Mechanical and Aerospace Engineering
M.S. in Mechanical Engineering
University of Missouri--Rolla
Journal article titles appearing in thesis/dissertation
- Computational methods to predict and avoid design failure
- Automated methods for failure avoidance in design
x, 65 pages
© 2005 Brian Alan Mitchell, All rights reserved.
Thesis - Restricted Access
Engineering design -- Mathematical models
System failures (Engineering)
Failure Analysis System (Computer system)
Print OCLC #
Link to Catalog Record
Electronic access to the full-text of this document is restricted to Missouri S&T users. Otherwise, request this publication directly from Missouri S&T Library or contact your local library.http://merlin.lib.umsystem.edu/record=b5772005~S5
Mitchell, Brian A., "Techniques for failure avoidance in early stages of design" (2005). Masters Theses. 5858.
Share My Thesis If you are the author of this work and would like to grant permission to make it openly accessible to all, please click the button above.