Data Mining a Design Repository for Automating and Validating Functional Modeling

Graduate Thesis Or Dissertation

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Citeable URL: https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/1831cr63r

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Attribute Name	Values
Creator	Mikes, Alex B.
Abstract	The purpose of this work is to build a foundation of understanding and methodologies as the steps toward automating functional modeling. We have achieved significant progress in the automatic generation of functional representations, which can be connected at the interface of components to create a functional model. This work highlights the development, verification, and optimization of algorithms that data mine a design repository to find and predict the function and flow combinations for components in products.
License	All rights reserved
Resource Type	Masters Thesis
Date Issued	2020-04-24
Degree Level	Master's
Degree Name	Master of Science (M.S.)
Degree Field	Mechanical Engineering
Degree Grantor	Oregon State University
Commencement Year	2020
Advisor	Stone, Robert B. DuPont, Bryony
Committee Member	Johnston, Matthew Hoyle, Christopher
Academic Affiliation	Mechanical, Industrial, and Manufacturing Engineering
Rights Statement	In Copyright
Funding Statement (additional comments about funding)	This material is based upon work supported by the National Science Foundation under Grant No. CMMI-1826469. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
Publisher	Oregon State University
Peer Reviewed	No
Language	English [eng]
Accessibility Feature	unknown

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