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ON THE IMPACT OF PRANDTL NUMBER ON TEMPERATURE IN PARALLEL JET MIXING
John Acierno
,
Elia Merzari
Ken and Mary Alice Lindquist Department of Nuclear Engineering
Institute for Computational and Data Sciences (ICDS)
Research output
:
Chapter in Book/Report/Conference proceeding
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Conference contribution
1
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Scopus citations
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Dive into the research topics of 'ON THE IMPACT OF PRANDTL NUMBER ON TEMPERATURE IN PARALLEL JET MIXING'. Together they form a unique fingerprint.
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Keyphrases
Coolant
100%
Jet Mixing
100%
Prandtl number
100%
Parallel Jets
100%
Thermal Striping
100%
Sodium
50%
Non-isothermal
50%
Internal Structure
25%
Reactor Design
25%
Reactor
25%
Safety Concerns
25%
Frequency-based Approach
25%
Efficiency Measurement
25%
Large Eddy Simulation
25%
Efficiency Improvement
25%
Proper Orthogonal Decomposition
25%
Increased Safety
25%
Accurate Simulation
25%
University of Michigan
25%
CFD Solver
25%
Jet Shape
25%
Power Spectrum Density
25%
Reactor Operation
25%
Nuclear Energy
25%
Prandtl
25%
Safety Measures
25%
Oscillation Effect
25%
Spectral Element
25%
Sodium-cooled Fast Reactor
25%
Plane Jet
25%
Parallel Planes
25%
Upper Plenum
25%
Thermal Fatigue Damage
25%
NekRS
25%
Engineering
Prandtl Number
100%
Isothermal
50%
Internal Structure
25%
Reactor Design
25%
Safety Concern
25%
Computational Fluid Dynamics
25%
Fatigue Damage
25%
Proper Orthogonal Decomposition
25%
Power Spectra
25%
Nuclear Energy
25%
Accurate Simulation
25%
Spectrum Density
25%
Thermal Fatigue
25%
Reactor Operation
25%
Plane Jet
25%
Safety Measure
25%
Sodium-Cooled Fast Reactor
25%
Chemical Engineering
Prandtl Number
100%