Campus Units

Materials Science and Engineering

Document Type

Conference Proceeding

Conference

The 14th World Conference on Titanium (Ti 2019)

Publication Version

Published Version

Publication Date

10-12-2020

Journal or Book Title

MATEC Web of Conferences

Volume

321

First Page

11083

DOI

10.1051/matecconf/202032111083

Conference Title

The 14th World Conference on Titanium (Ti 2019)

Conference Date

June 10-14, 2019

City

Nantes, France

Abstract

Additively manufactured materials are gaining wide attention owing to the manufacturing benefits as it results in near net shape components. It is well known that the manufacturing processes affects the performance of the components via microstructural features and the mechanical properties. There is an urgent need to understand the processing-structure-property-performance relationship for the materials manufactures via such innovative techniques. Strategies are needed to quantify and modify the mechanical properties. This study assists to design and tailor the process parameters based on the final properties required. Current work predicts the yield strength of additively manufactured Ti-6Al-4V with different post heat treatments. A thermal model predicted by ABAQUS is fed into an implementation of Langmuir equation that predicts the chemistry which is then used in a phenomenological equation predicting the yield strength. The model is confirmed via experiments showing less than 2% deviation from the predicated properties. A statistical model gives design allowables that have an uncertainty of less than 1 ksi.

Comments

This proceeding is published as Ales, Thomas, Iman Ghamarian, Brian Hayes, Brian Welk, Andrew Baker, Matthew Kenney, D. Gary Harlow, Hamish Fraser, Wenqi Li, and Peter Collins. "Predicting the tensile properties of additively manufactured Ti-6Al-4V via electron beam deposition." MATEC Web of Conferences 321 (2020): 11083. DOI: 10.1051/matecconf/202032111083. Posted with permission.

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

Copyright Owner

The Author(s)

Language

en

File Format

application/pdf

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