Masters Theses

Author

Soumya De

Abstract

"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.

Advisor(s)

Stanley, R. Joe

Committee Member(s)

Moss, Randy Hays, 1953-
Stoecker, William V.

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Electrical Engineering

Sponsor(s)

Air Force Research Laboratory (Wright-Patterson Air Force Base, Ohio)
Missouri University of Science and Technology. Center for Aerospace Manufacturing Technologies

Publisher

Missouri University of Science and Technology

Publication Date

2008

Pagination

xi, 68 pages

Note about bibliography

Includes bibliographical references (page 67).

Rights

© 2008 Soumya De, All rights reserved.

Document Type

Thesis - Restricted Access

File Type

text

Language

English

Library of Congress Subject Headings

Multisensor data fusion
Airplanes -- Corrosion -- Detection
Nondestructive testing

Thesis Number

T 10256

Print OCLC #

863048583

Electronic OCLC #

905620550

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://laurel.lso.missouri.edu:80/record=b10158107~S5

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