3 citations · 5 across the 4 of their papers we have counts for
5 papers
Hypersonic Boundary Layer Transition and Heat Loading
Ahmad Peyvan, Luis Bravo, Anindya Ghoshal +2
Hypersonic boundary layer transition using high-order methods for direct numerical simulations (DNS) is largely unexplored, although a few references exist in the literature. Exper…
Characterization of partial wetting by CMAS droplets using multiphase many-body dissipative particle dynamics and data-driven discovery based on PINNs
Elham Kiyani, Mahdi Kooshkbaghi, Khemraj Shukla +6
The molten sand, a mixture of calcia, magnesia, alumina, and silicate, known as CMAS, is characterized by its high viscosity, density, and surface tension. The unique properties of…
Deposition of sand particles on a solid substrate in a high-temperature subsonic flow
Rahul Babu Koneru, Luis Bravo, Muthuvel Murugan +2
Ingestion of sand particles into gas turbine engines has been observed to cause damage to engine components and in some cases leads to catastrophic failure. One such mechanism resp…
Dynamic spreading and infiltration of a molten sand droplet on a porous surface
Rahul Babu Koneru, Garrett Foresman, Alison Flatau +5
Compared to smooth surfaces, droplet spreading on porous surfaces is more complex and has relevance in many engineering applications. In this work, we investigate the infiltration…
Deep neural operators can serve as accurate surrogates for shape optimization: A case study for airfoils
Khemraj Shukla, Vivek Oommen, Ahmad Peyvan +5
Deep neural operators, such as DeepONets, have changed the paradigm in high-dimensional nonlinear regression from function regression to (differential) operator regression, paving…