UOG School of Engineering Hosts Lecture on Additive Manufacturing

UOG School of Engineering Hosts Lecture on Additive Manufacturing

UOG School of Engineering Hosts Lecture on Additive Manufacturing


10/11/2024
Dr. Craig A. Brice, Professor of Practice in Mechanical Engineering at Colorado School of Mines
Dr. Joy Gockel, Associate Professor in Mechanical Engineering at Colorado School of Mines

 

The University of Guam School of Engineering (SENG), in collaboration with the UOG Society of American Military Engineers (SAME) Student Chapter, is proud to announce the next installment of the SENG Seminar Series focusing on Additive Manufacturing.

Experts from the Colorado School of Mines, Dr. Craig A. Brice, Professor of Practice in Mechanical Engineering, and Dr. Joy Gockel, Associate Professor in Mechanical Engineering, will present: “Additive Manufacturing: More than 3D Printing” from 4 to 5:30 p.m. on Wednesday, October 16, 2024, in Room SC101, Science Building on the UOG Campus. The seminar will also be available online on Google Meet at https://meet.google.com/ggn-qzfz-dgz.

The presentation will delve into the complexities and potential of this rapidly evolving field. While 3D printing has revolutionized rapid prototyping, additive manufacturing encompasses a broader scope of processes and considerations.

For more information about the event, email uog.same@gotritons.uog.edu.

About the Seminar

3D printing has grown rapidly, enabling quick creation of shapes from computer models. However, it is just one part of the additive manufacturing (AM) process. Moving from printed shapes to functional products requires consideration of performance in real-world environments. AM uniquely creates the material alongside the component, tying performance to the manufacturing process. This presents challenges in ensuring part quality and predicting mechanical properties, especially in metal AM, where microstructure and defects are key issues. This seminar will cover AM techniques, process flow, and interdisciplinary research on fatigue prediction, machine hardware, novel testing, in-situ monitoring, and multi-material structures.

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