Doctoral Dissertations

Keywords and Phrases

Aircraft Data Transmission Lines; Corrosion; Minimum Quantity Lubrication Machining; Non-destructive Evaluation; State Prediction; Vibration

Abstract

This research presents a novel Frequency Domain Transmitometry (FDT) method that uses transmitted signals (S21) to detect and characterize aircraft data transmission lines (ADTL) corrosion damage without additional reflectometry circuitry. Corrosion experiments were conducted according to ASTM G85-A5 over 14 weeks. Combined FDT and reflected signals (S11) analyses revealed distinct three-peak signatures associated with damage and corrosion. The square root of the Area Under the Curve (AUC) of the FDT damage peak and the Full Width at Three-Quarter Maximum (FW3QM) of the S11 damage peak is correlated with corrosion propagation depth and width. S11 signals were further used for vibration sensing and cable-connector integrity assessment over 20–640 Hz and 0.5–4 G vibration. The S11 magnitude under vibration followed an exponential-cosine trend. Analysis of Variance (ANOVA), Tukey’s test and Regression analysis confirmed the feasibility of using cable connectors as distributed vibration sensors. Connector loosening was successfully detected, with 180° loosening exhibiting exponential response trends, while 360° loosening showed reduced response at high vibration levels due to resonance and connector orientation. In addition, soybean-oil-based nanofluids formulated with two graphene nanoplatelets (xGnP, GnP), MoS₂, TiO₂, and Al₂O₃ nanoparticles achieved up to 214% enhancement in thermal conductivity and 622% increase in viscosity relative to base high oleic soybean oil (HOSO). An optimal 5 wt.% concentration of xGnP nanoparticles dispersed in HOSO is recommended as an eco-friendly alternative to conventional emulsion coolants for sustainable Minimum Quantity Lubrication (MQL) machining.

Advisor(s)

Okafor, A. Chukwujekwu (Anthony Chukwujekwu)
Huang, Jie

Committee Member(s)

Chandrashekhara, K.
Du, Xiaosong
Song, Yun Seong

Department(s)

Mechanical and Aerospace Engineering

Degree Name

Ph. D. in Aerospace Engineering

Publisher

Missouri University of Science and Technology

Publication Date

Fall 2025

Journal article titles appearing in thesis/dissertation

Paper I, found on pages 7–43, has been published in the Journal of Engineering Failure Analysis, vol. 157, p. 107887, Mar. 2024; https://doi.org/10.1016/j.engfailanal.2023.107887.

Paper II, found on pages 44–84, has been published in the Measurement Journal. Volume 251, p. 117189, 2025; https://doi.org/10.1016/j.measurement.2025.117189. A condensed version – Paper VI, found on pages 225–238, has been published in SPIE Proceedings, Health Monitoring of Structural and Biological Systems XIX, Vol 13437 (13 May 2025); https://doi.org/10.1117/12.3051615.

Paper III, found on pages 85–129, is is in preparation for Journal submission. A condensed version – Paper VII, found on pages 239–255, has been published in SPIE Proceedings, Health Monitoring of Structural and Biological Systems XIX, Vol 13437 (13 May 2025); https://doi.org/10.1117/12.3051621.

Paper IV, found on pages 130–171, is in preparation for Journal submission.

Paper V, found on pages 172–224, submitted for publication to the Journal of Discover Nano.

Pagination

xxii, 261 pages

Note about bibliography

Includes_bibliographical_references_(pages 41, 81, 127, 169, 220, 237, 254)

Rights

© 2025 Saidanvardzhon Valiev , All Rights Reserved

Document Type

Dissertation - Open Access

File Type

text

Language

English

Thesis Number

T 12580

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