5 citations · 5 across the 3 of their papers we have counts for
4 papers
Deep Learning-Enhanced for Amine Emission Monitoring and Performance Analysis in Industrial Carbon Capture Plants
Lokendra Poudel, David Tincher, Duy-Nhat Phan +1
We present data driven deep learning models for forecasting and monitoring amine emissions and key performance parameters in amine-based post-combustion carbon capture systems. Usi…
A machine learning platform for development of low flammability polymers
Duy Nhat Phan, Alexander B. Morgan, Lokendra Poudel +1
Flammability index (FI) and cone calorimetry outcomes, such as maximum heat release rate, time to ignition, total smoke release, and fire growth rate, are critical factors in evalu…
Scalable AI Framework for Defect Detection in Metal Additive Manufacturing
Duy Nhat Phan, Sushant Jha, James P. Mavo +4
Additive Manufacturing (AM) is transforming the manufacturing sector by enabling efficient production of intricately designed products and small-batch components. However, metal pa…
Advanced Predictive Quality Assessment for Ultrasonic Additive Manufacturing with Deep Learning Model
Lokendra Poudel, Sushant Jha, Ryan Meeker +2
Ultrasonic Additive Manufacturing (UAM) employs ultrasonic welding to bond similar or dissimilar metal foils to a substrate, resulting in solid, consolidated metal components. Howe…