6 papers
Computational Aerothermal Framework and Analysis of Stetson Mach 6 Blunt Cone
Arturo Rodriguez, Piyush Kumar, Cesar Diaz-Caraveo +4
Accurately predicting aerothermal behavior is paramount for the effective design of hypersonic vehicles, as aerodynamic heating plays a pivotal role in influencing performance metr…
Computational Investigation of Roughness Effects on Boundary Layer Transition for Stetson's Blunt Cone at Mach 6
Arturo Rodriguez, Piyush Kumar, Cesar Diaz-Caraveo +3
In this aerothermal study, we performed a two-dimensional steady-state Computational Fluid Dynamics (CFD) and heat conduction simulation at Mach 6. The key to our methodology was a…
Current State of Atmospheric Turbulence Cascades
Vicente Corral Arreola, Arturo Rodriguez, Vinod Kumar
Turbulence cascade has been modeled using various methods; the one we have used applies to a more exact representation of turbulence where people use the multifractal representatio…
Computational Analysis of the Temperature Profile Developed for a Hot Zone of 2500°C in an Induction Furnace
Juan C. Herrera, Laura L. Sandoval, Piyush Kumar +4
Temperature gradients developed at ultra-high temperatures create a challenge for temperature measurements that are required for material processing. At ultra-high temperatures, th…
Partition of Unity Physics-Informed Neural Networks (POU-PINNs): An Unsupervised Framework for Physics-Informed Domain Decomposition and Mixtures of Experts
Arturo Rodriguez, Ashesh Chattopadhyay, Piyush Kumar +2
Physics-informed neural networks (PINNs) commonly address ill-posed inverse problems by uncovering unknown physics. This study presents a novel unsupervised learning framework that…
Designing an Optimal Scoop for Holloman High-Speed Test Track Water Braking Mechanism using Computational Fluid Dynamics
Jose A. Terrazas, Piyush Kumar, Arturo Rodriguez +3
Specializing in high-speed testing, Holloman High-Speed Test Track (HHSTT) uses water braking to stop vehicles on the test track. This method takes advantage of the higher density…