Multiscale, Multiphase, and Multidisciplinary Research

Transforming multiphase flow to drive energy savings and streamlined processes

We are looking to fill two Postdoctoral and two Ph.D. positions within our lab. If you are interested, please click HERE for more information.

About Us

Welcome! I’m Rui Ni, an Assistant Professor of Mechanical Engineering at Johns Hopkins University. I’m directing the Fluid Transport Lab. Our research interests broadly revolve around experimental studies of turbulence, multiphase flow, heat transfer, physiological flow, and swarming insects. A persistent theme throughout most of these areas is the challenge to model and predict the complex behaviors of coexistent phases, the phenomena that they manifest in multiple time and length scales, and the emerging dynamics due to intra- and inter- phase couplings. 

To navigate in this research domain, the other part of our work is devoted to advancing experimental tools, including the non-invasive Lagrangian particle tracking system, visual-hull reconstruction, and the minimum-invasive method, such as miniaturized sensors.

Particle Image Velocimetry

We are using particle image velocimetry to capture the gas phase of a particle-laden jet.

3D Particle Tracking

We are working on improving the existing 3D particle tracking code to handle high tracer concentrations (up to 0.1 particle per pixel).

Turbulent Bubbly Flow

Our V-ONSET facility provides a unique flow environment for us to probe the inter-facial couplings between two phases in the Lagrangian framework. Including bubble deformation, breakup physics, and simultaneous measurement of surrounding turbulent flow.

Plume-Surface Interaction

We are working with NASA to investigate plume-surface interaction from an impinging jet.

Enhanced Visual Hull Reconstruction

We have designed a novel virtual camera method to mitigate the problem of virtual mass appearing in geometrical reconstructions.

Interfacial Mass Transfer

The aim of this project is to unveil the underlying physical processes and bridge the scale difference between the microscopic interfacial dynamics to macroscopic transport and mixing statistics.

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