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High-probability grants
According to our matching algorithm, Rui Ni is the likely recipient of the following grants.
Years |
Recipients |
Code |
Title / Keywords |
Matching score |
2017 — 2022 |
Ni, Rui |
N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
Career: Multiscale Experimental Framework On Dynamics of Deformable Particles in Turbulent Dispersed Multiphase Flow @ Pennsylvania State Univ University Park
From rain droplets in clouds to gas bubbles in bioreactors and nuclear reactors, multiphase flows occurring in nature and industrial applications are often turbulent, spanning a wide range of length and time scales and posing significant challenges to numerical and experimental methods. Significant progress has been made in characterizing the turbulent multiphase flow dispersed with spherical particles; much less is known, however, about another large category with dispersed phase consisting of deformable liquid drops or gas bubbles. Those particles can freely deform, tumble, break up and coalesce in turbulent flow, adding new degrees of freedom to an already complex problem.
The key questions arise as to what are the statistics of unique dynamics of these deformable particles and how to characterize their complex couplings with the carrier phase. In order to address those questions and gain insights in the full physical picture of the dynamics of deformable particles, the project involves a multiscale experimental framework on several different length scales from interface dynamics to large-scale statistics. In order to obtain couplings of two phases, both the carrier phase and the dispersed phases will be tracked in the Lagrangian framework simultaneously. This enables us to measure, not only the velocity of both phases, but also those high-order derivatives, including acceleration and velocity gradient tensor, that are more important to the momentum couplings between two phases.
|
0.97 |
2017 — 2019 |
Ni, Rui |
P20Activity Code Description: To support planning for new programs, expansion or modification of existing resources, and feasibility studies to explore various approaches to the development of interdisciplinary programs that offer potential solutions to problems of special significance to the mission of the NIH. These exploratory studies may lead to specialized or comprehensive centers. |
Neuronal Plasticity of Older Adults: Perceptual Learning in Driving-Related Visual Functions @ Kansas State University
PROJECT SUMMARY Age-related decline in visual functions is a contributing factor to increased accident risks among older drivers. This project will examine the effect of perceptual learning (PL) on improving driving-related visual functions and driving performance for older adults. Specifically, the project will test a novel Common Low-level Mechanism (CLM) model of perceptual learning in explaining and predicting the generalization of PL. The results from preliminary studies have provided evidence supporting the CLM model. In the proposed research, Specific aim 1 is to test the PL transfer from low to high level visual tasks. Aim 2 will determine whether PL transfer depends on training task or training context. Aim 3 will apply the CLM model to improve driving performance for older drivers. The current proposal will integrate theoretical and applied research in answering important questions regarding neuronal plasticity, driving safety and aging. The current project will reveal the mechanisms underlying the generalization of PL and develop practical guidelines for interventions on how to reduce accident risks among older drivers.
|
0.973 |
2017 — 2020 |
Ni, Rui |
N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
Turbulent Multiphase Flow With Interfacial Mass and Heat Transfer: Linking Microscopic Physics to Macroscopic Mixing @ Pennsylvania State Univ University Park
CBET - 1705246 PI: Ni, Rui
Many naturally occurring and industrial processes involve turbulent flows that contain particles such as bubbles or drops dispersed in a fluid. In these cases, the dispersed phase can exchange mass and heat with the surrounding fluid in a way that depends on details of the turbulent flow. This award will support experiments to understand the role of mass and heat transfer on large-scale statistics of turbulent flows. The challenge is to relate microscopic mass transfer on the scale of individual bubbles or drops to macroscopic mixing and mass transport. A vertical water tunnel will be used to study bubbles that can be held stationary and imaged to determine the concentration field of tracers that are exchanged between the bubbles and surrounding fluid. The rate of mass exchange will be correlated with parameters that describe the turbulence intensity and characteristics of the dispersed phase. An LED illumination system will be used to quantify temperature profiles in turbulent flow, which provides insight into large-scale mixing efficient of vapor bubbles. This system will also be used to study the concentrations of particles of various shapes to analyze mixing in turbulent flow. The results of these studies will be broadly relevant to such applications as evaporating sprays, rain droplets in clouds, air bubbles in fermentation reactors, and multiphase chemical reactors. The research team will prepare demonstrations of multiphase flows for K-12 student groups participating in programs at Penn State and for the Central Pennsylvania Festival of the Arts.
A vertical tunnel facility will be used to study mass transfer in particle-laden turbulent flows. An opposing mean flow balances the buoyancy drive rise or settling of particles, which allows the particles to remain in a field of view for imaging. The facility allows the mean flow and the turbulence Reynolds number to be adjusted independently. A combination of imaging methods will be used to measure the three-dimensional Lagrangian trajectories of dispersed particles, statistics of the surrounding flow, and the concentration field of mass exchanged between the two phases by interfacial transfer. Experiments will be conducted to identify the relevant parameters for turbulent multiphase flow with interfacial transfer. Flows containing bubbles and other particles with inertia will be examined to determine if inertial particles enhance mass transfer and mixing. The possibility of two-way couplings between interfacial momentum transfer and mass transfer will be investigated. The role of interfacial mass transfer on breakup and coalescence of bubbles will be determined.
|
0.97 |