Degree Type

Thesis

Date of Award

2018

Degree Name

Master of Science

Department

Materials Science and Engineering

Major

Materials Science and Engineering

First Advisor

Peter C. Collins

Abstract

A complete model for the prediction of the yield strength of Titanium 6Al-4V in an additively manufactured component is presented herein. A thermal model is presented utilizing the ABAQUS simulation software to provide the process leg of the materials tetrahedron. The thermal model is fed into an implementation of the Langmuir equation that has been adapted for use in the simulation of the Electron-Beam Additive Manufacturing (EBAM) process. The predicted chemistry provided by the Langmuir equation for the Ti-6Al-4V alloy is then used in a phenomenological equation for the prediction of yield strength; a design probability curve is generated through random sampling of the thermal model. Using Weibull probability distributions, the model is verified against a rich mechanical and chemical database built from an actual EBAM build used in previous research.

DOI

https://doi.org/10.31274/etd-180810-5937

Copyright Owner

Thomas Kiel Ales

Language

en

File Format

application/pdf

File Size

77 pages

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