PhD Defense by Jordan W Key

Event Details
  • Date/Time:
    • Monday March 23, 2020 - Tuesday March 24, 2020
      1:00 pm - 2:59 pm
  • Location: MRDC 3515
  • Phone:
  • URL: BlueJeans Link
  • Email:
  • Fee(s):
    N/A
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Summaries

Summary Sentence: Investigating the Influence of Microstructure on Corrosion Susceptibility: a Multiscale Electron Microscopy Approach

Full Summary: No summary paragraph submitted.

THE SCHOOL OF MATERIALS SCIENCE AND ENGINEERING

 

GEORGIA INSTITUTE OF TECHNOLOGY

 

Under the provisions of the regulations for the degree

DOCTOR OF PHILOSOPHY

on Monday, March 23, 2020

1:00 PM
in MRDC 3515

BLUEJEANS:  https://bluejeans.com/851999501 

will be held the

 

DISSERTATION  DEFENSE

for

 

Jordan W. Key

 

"Investigating the Influence of Microstructure on Corrosion Susceptibility: a Multiscale Electron Microscopy Approach"

 

Committee Members:

 

Prof. Josh Kacher, Advisor, MSE

Prof. Preet Singh, MSE

Prof. Hamid Garmestani, MSE

Prof. Matthew McDowell, MSE

Prof. Andrew Medford, CHBE

 

Abstract:

 

In recent years, researchers have been leveraging developments in novel experimental methods and automated processing and analysis to establish processing-structure-property links in a more robust and statistical manner. One prime area that would benefit from such an approach is corrosion studies. Corrosion is an important societal issue with a broad and varied impact, and the corrosion-related maintenance and repair imposes a large expense on the global economy. This makes it important to better understand and predict corrosion behavior in order to design superior corrosion resistant materials. This work investigates the role of local microstructure in determining the corrosion behavior of materials, at the mesoscale and the nanoscale, through the combination of automated image processing and rapid, detailed characterization. 

 

This work is divided into two parts. At the mesoscale, detailed microstructural characterization through SEM and EBSD analysis is combined with automated image processing to develop first order correlations between pit initiation and grain orientation, intermetallic particle proximity, grain boundary proximity, and local dislocation density in 5083 aluminum. At the nanoscale, in situ TEM oxidation investigations  of Fe thin films are combined with automated image processing to track dynamic processes in real time. Information on oxidation front propagation behavior and kinetics, as well as crystallographic evolution, is extracted. These findings improve the understanding of the influence of microstructure on corrosion and lay the groundwork for further developments of these methodologies.

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Graduate Studies

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Keywords
Phd Defense
Status
  • Created By: Tatianna Richardson
  • Workflow Status: Published
  • Created On: Mar 12, 2020 - 12:32pm
  • Last Updated: Mar 19, 2020 - 12:08pm