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Material Substitution in Legacy System Engineering (LSE) With Fuzzy Logic Principles

Abstract The focus of this research is to investigate methods for material substitution for the purpose of re-engineering legacy systems that involves incomplete information about form, fit and function of replacement parts. The primary motive is to extract as much useful information about a failed legacy part as possible and use fuzzy logic rules for identifying the unknown parameter values. Machine elements can fail by any number of failure modes but the most probable failure modes based on the service condition are considered critical failure modes. Three main parameters are of key interest in identifying the critical failure mode of the part. Critical failure modes are then directly mapped to material properties. Target material property values ... (more)
Created Date 2011
Contributor Balaji, Srinath (Author) / Shah, Jami (Advisor) / Davidson, Joseph (Committee member) / Huebner, Kenneth (Committee member) / Arizona State University (Publisher)
Subject Mechanical engineering / Materials Science / Aerospace engineering / Failure Mode / Fuzzy logic / Legacy system engineering / Material Selection / Material Substitution / Uncertainty Modeling
Type Masters Thesis
Extent 121 pages
Language English
Reuse Permissions All Rights Reserved
Note M.S. Mechanical Engineering 2011
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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