Term of Award

Summer 2023

Degree Name

Master of Science in Applied Engineering (M.S.A.E.)

Document Type and Release Option

Thesis (open access)

Copyright Statement / License for Reuse

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


Department of Manufacturing Engineering

Committee Chair

Kamran Kardel

Committee Member 1

Haijun Gong

Committee Member 2

Yue Zhang


Additive manufacturing technologies have been enhanced throughout the years yet have surprised the manufacturing industry due to their high-end surface finish and dimensional accuracy. Different experiments have been done to identify a specific phenomenon known in the vat-polymerization field. Distortion and dimensional inaccuracy tend to affect the overall properties of the process, either physical or chemical. This approach allows the understanding of how the physical properties have been affected and how to study the chemical properties to avoid this type of phenomenon. The chemical reaction between polymer and UV light has been studied and experimented with to the point that certain parameters must be altered to avoid photodegradation. Photodegradation or photooxidation is the process where 3D-printed polymer specimens become brittle, and their mechanical properties tend to fail faster than a healthy specimen. Experimentation was done by allocating 3 different levels into 4 parameters, each parameter was investigated to be a cause to either enhance or affect the overall prints by LCD/SLA printing. Oxygen Concentration, Oligomer Concentration, Stabilizer Concentration, and Exposure Time were the parameters chosen to run these experiments, each having 3 different levels to be tested with. ASTM standard specimens were used to provide parts for 3 different characterization and mechanical testing: Tensile Testing, Compression Testing, and Hardness Testing. Results showed higher mechanical properties around Oxygen Concentration, Stabilizer Concentration, and Exposure Time. Various One-way ANOVA Tests were provided to check if the results retrieved statistically significant data. It was analyzed that each parameter provided statistically significant data, calculating a p-value less than 0.05 for each analysis of variance done. This data allowed the comparison between the current experiment in hand with external research, providing aspiring results for this new approach.

Research Data and Supplementary Material