- Thermography and Photoacoustic Techniques
- Additive Manufacturing Materials and Processes
- Advanced X-ray and CT Imaging
- Sensor Technology and Measurement Systems
- Welding Techniques and Residual Stresses
- Neural Networks and Applications
- Gyrotron and Vacuum Electronics Research
- Particle accelerators and beam dynamics
- Acoustic Wave Resonator Technologies
- Nuclear Engineering Thermal-Hydraulics
- Nuclear Physics and Applications
- Advanced Chemical Sensor Technologies
- Manufacturing Process and Optimization
- Fault Detection and Control Systems
- Advanced Sensor Technologies Research
- Flow Measurement and Analysis
Argonne National Laboratory
2020-2022
University of Chicago
2020-2022
Thermal tomography (TT) is a computational method for the reconstruction of depth profile internal material defects from Pulsed Infrared Thermography (PIT) nondestructive evaluation. The PIT consists recording surface temperature transients with fast frame infrared camera, following thermal pulse deposition on flashlamp and heat diffusion into bulk. TT algorithm obtains reconstructions effusivity, which has been shown to provide visualization subsurface in metals. In many applications, one...
Temperature sensing is one of the most common measurements a nuclear reactor monitoring system. The coolant fluid flow in core depends on power state. We investigated and estimation thermocouple time series using machine learning for range regimes. Measurement data were obtained, two separate experiments, loop filled with water liquid metal Galinstan. developed long short-term memory (LSTM) recurrent neural networks (RNNs) sensor predictions by training sensor’s own prior history, transfer...