A Study on the Early Stages of Degradation of Multi-component Alloy Surfaces in Extreme Environments Using the Multi-cell Monte Carlo Method

Author

Tyler D. Dolezal

Date of Award

3-2022

Document Type

Thesis

Degree Name

Master of Science

Department

Department of Engineering Physics

First Advisor

Adib Samin, PhD

Abstract

A computational toolset is presented and used in two examples that examined the interactions between structural materials and their extreme environments. A multi-cell Monte Carlo algorithm was developed to generate thermodynamically realistic solid-state alloy systems. These structures served as the foundation upon which surface slab models were generated. The tedious procedure of generating surface slab models from bulk structures was automated. The tools were used to study the high temperature surface corrosion resistance of a high-entropy alloy, Al₁₀Nb₁₅Ta₅Ti₃₀Zr₄₀, and a nickel-based alloy, Ni₇₀Nb₁₀W₂₀, under an oxygen and chlorine atmosphere, respectively.

AFIT Designator

AFIT-ENP-MS-22-M-088

DTIC Accession Number

AD1176048

Recommended Citation

Dolezal, Tyler D., "A Study on the Early Stages of Degradation of Multi-component Alloy Surfaces in Extreme Environments Using the Multi-cell Monte Carlo Method" (2022). Theses and Dissertations. 5461.
https://scholar.afit.edu/etd/5461