As the pioneers of the nascent field of microscale fluid–structure interactions, we developed the first theory of flow-induced deformation of microchannels, which was then extended to rationalize the original experimental measurements on flow in compliant microchannels performed at MIT. Research supported by the National Science Foudnation.
We seek to elucidate the physics underlying the (in)stability of fluid–fluid interfaces in the presence of multiphysics interactions, such as deformable geometries, external forcing, imposed magnetic fields, etc. Our ultimate objective is to enable non-invasive control of interfacial patterns. Specifically, we were the first to demonstration of generation of nonlinear periodic waves on a ferrofluid interface via an external magnetic field. Research supported by the National Science Foundation.
We seek to elucidate and differentiate the coupled hemodynamics and biomechanics in stable vs. growing aneurysms via patient-specific, high-resolution numerical simulations of fluid–structure interactions. Research supported by the Brain Aneurysm Foundation.
We seek to enable predictive numerical simulation of flows of dense suspensions (including heat transfer therein) via two-fluid continuum models. We have developed open-source computational codes using the OpenFOAM framework: see twoFluidsNBSuspensionFoam project. Research supported by the American Chemical Society's Petroleum Research Fund.
We propose to fuse computational fluid dynamics with microgravity measurements (from aboard the ISS) of gas-liquid flow characteristics by harnessing physics-informed machine learning. Specifically, we will analyze the packed-bed research experiment (PBRE) performed by NASA, and extend its design to enable heat transfer research. Research supported by NASA.
Flows through deformable confinements arise in microfluidics. We derived a nonlinear differential equation for a soft coating’s interface, in the presence of both fluid–structure interaction and hydrodynamic slip, to determine the conduit shape during flow. This joint research between Purdue and IIT Kharagpur was supported by the Scheme for Promotion of Academic and Research Collaboration (SPARC).