Daniel Bruce

Engineering (mechanical systems)

Hometown: Albuquerque, New Mexico, United States

Graduation date: Fall 2021

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FURI | Spring 2020

Surface Roughness in Metal Additive Manufacturing: Towards Accurate Measurement of Relevant Metrics

The goal of this research is to determine which surface roughness metrics are the most important for predicting fatigue in Metal Additive Manufacturing (3D printing). A Keyence Optical Scanning Microscope was used to measure surface roughness metrics. The researcher studied literature to improve his understanding of the metrics and their relevance to fatigue. In addition, a Measurement System Analysis was performed to measure the repeatability of the researcher’s measurement procedure. Knowing which metrics are the most important will help manufacturers identify parts that are at risk of fatigue failure, before they reach the end-user.

Mentor: Dhruv Bhate

More projects from the current symposium

Berrak Gokce

Mechanical engineering

2-Dimensional Perovskite Photovoltaics Produced with Organic Additives

Using organic additives in perovskite inks to improve the reliability of perovskite solar cells can lead to more efficient solar panels.

Mentor: Nick Rolston

Program: GCSP research stipend

Aditi Rao

Biomedical engineering

The Utility and Impact of Sericin as a Novel Biomaterial for Use in Wound Healing

Investigating the biocompatibility of silk sericin produced by Bombyx mori silkworms will help explore its applications in wound healing.

Mentor: Vincent Pizziconi

Program: FURI

Alma Samuel Babbitt

Computer systems engineering

Verification Code Generation in the Hardware Description Language Verilog

Using large language models for verification code generation in Verilog for integrated circuit designs will shorten testing and remove roadblocks.

Mentor: Nakul Gopalan