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Open Access Knowledge and Scholarship

Date of Award

12-2023

Culminating Project Type

Thesis

Styleguide

ieee

Degree Name

Electrical Engineering: M.S.

College

College of Liberal Arts

First Advisor

Dr. Yi Zheng

Second Advisor

Dr. Md Mahbub Hossain

Third Advisor

Dr. Aiping Yao

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Keywords and Subject Headings

Additive Manufacturing, Neural Network, Tensile

Abstract

Neural networks are a rapidly increasing field to analyze and predict trends in every area of industry. The increasing importance of companies to find areas where humans do not need to look over massive amounts of data and accurately predict trends is a perfect use for neural networks. Another area of industry that is rapidly increasing is additive manufacturing. Additive manufacturing (AM) can be used in every area of industry from medical equipment to automotive design. The ability to create complex geometries with cheap polymers has set additive manufacturing ahead of traditional methods of designing plastic molds. The tensile properties of an AM material are a good indication of how the material mechanically performs. The focus of this thesis will be to categorically analyze the tensile break of an AM material into brittle, tough, or plastic categories using Multilayer Perceptron (MLP).

Comments/Acknowledgements

I would like to thank Dr. Yi Zheng, my advisor and mentor for this thesis. Dr. Zheng taught me the foundational knowledge for this project.

I would like to thank Dr. Md Mahbub Hossain and Dr. Aiping Yao for being on the thesis committee on very short notice.

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