"The United States Air Force (USAF) recently estimated that corrosion maintenance costs exceed $800M per year. Given this, it is desirable to reduce the amount of "find it-fix it" corrosion maintenance activities. One method is to introduce a damage tolerance approach for corrosion detection. In order for this to become a reality, a comprehensive snapshot of corrosion present must be generated.
This thesis presents a data fusion process to perform uni- and multi-modal nondestructive testing and evaluation of corrosion under paint and in lap joints for volumetric characterization. The process for analyzing a given structure includes: 1) the acquisition of uni- and multi-modal data, 2) corrosion detection using multiple approaches for each modality, 3) fusion of corrosion detection information within and between modalities, 4) corrosion characterization and 5) material loss estimation. Experimental results are presented for the corrosion detection, fusion algorithms, material loss estimation and techniques investigated for the samples scanned using single or multiple modalities.
The following can be summarized from this study: 1) the data fusion process and algorithms and techniques developed for corrosion detection and characterization are adaptable to samples scanned using a variety of non-destructive evaluation techniques, 2) more rigorous evaluation of the data fusion process and algorithms and techniques is needed on real air craft panels to demonstrate the capability to integrate corrosion information from non-destructive evaluation techniques and finite element modeling tools for structural analysis, evaluation and failure prediction"--Abstract, page iii.
Stanley, R. Joe
Moss, Randy Hays, 1953-
Stoecker, William V.
Electrical and Computer Engineering
M.S. in Electrical Engineering
Air Force Research Laboratory (Wright-Patterson Air Force Base, Ohio)
Missouri University of Science and Technology. Center for Aerospace Manufacturing Technologies
Missouri University of Science and Technology
xi, 68 pages
© 2008 Soumya De, All rights reserved.
Thesis - Restricted Access
Library of Congress Subject Headings
Multisensor data fusion
Airplanes -- Corrosion -- Detection
Print OCLC #
Electronic OCLC #
Link to Catalog RecordElectronic 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://laurel.lso.missouri.edu:80/record=b10158107~S5
De, Soumya, "Application of multi-modal fusion techniques for corrosion detection and characterization in aging aircraft components" (2008). Masters Theses. 4483.