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Power Generation: Nuclear #2

Tracks
Room 408/409
Friday, June 28, 2024
8:00 AM - 9:40 AM
408-409

Overview

Chairs: Hongbin Sun & Pradeep Ramuhalli


Speaker

Amanda Beck
Phd Student
University Of Florida

Defect Detection Through Ultrasonic Wave-Informed Machine Learning

Paper or Abstract

Biography

Amanda Beck is a 2nd year Physics PhD student at the University of Florida. She earned her B.A. in Astrophysics from Columbia University in May 2022, and her M.S. in Physics from the University of Florida in May 2024. As an astrophysicist, she is interested in wave mechanics, the intersection of machine learning with physics, and computational physics applications.
Dr. Hongbin Sun
Oak Ridge National Laboratory

Anomaly Detection of Weld Flaws Using Ultrasonic B-scan Images and Autoencoder

Paper or Abstract

Biography

Hongbin Sun is an R&D associate staff at the Oak Ridge National Laboratory (ORNL). He received a Ph.D. in Civil Engineering from the University of Nebraska-Lincoln in 2020 with an outstanding dissertation award. His research interests include ultrasonic nondestructive evaluation, ultrasonic sensor development, structural health monitoring using ultrasound, machine learning for ultrasonic NDE, and their applications for nuclear power systems and civil infrastructures.
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