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Proceedings Papers

A Novel Mathematical Framework for the Venous Valve Leaflet Morphology Extracted From In-Vitro Images Using Machine Learning Assisted Stereological Analysis

V. M. Krushnarao Kotteda, Herb F. Janssen, Christopher Harris, Vinod Kumar
Proc. ASME. FEDSM2021, Volume 3: Fluid Mechanics; Micro and Nano Fluid Dynamics; Multiphase Flow, V003T05A008, August 10–12, 2021
Paper No: FEDSM2021-65744
DOI: https://doi.org/10.1115/FEDSM2021-65744
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Topics: Machine learning, Valves, Risk, Blood flow, Algorithms, Biomedicine, Blood, Cancer, Cloud computing, Computer software
Proceedings Papers

Inverse Problems in Magnetic Resonance Velocimetry: Shape, Forcing and Boundary Condition Inference

Alexandros Kontogiannis, Matthew Juniper
Proc. ASME. FEDSM2021, Volume 2: Fluid Applications and Systems; Fluid Measurement and Instrumentation, V002T04A018, August 10–12, 2021
Paper No: FEDSM2021-66080
DOI: https://doi.org/10.1115/FEDSM2021-66080
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Topics: Boundary-value problems, Inverse problems, Magnetic resonance, Shapes, Algorithms, Creeping flow, Flow (Dynamics), Signal to noise ratio, Variational techniques
Proceedings Papers

Shape Reconstruction of Liquid Ligaments and Droplets Model via Multi-View Digital Inline Holography

Weixiao Shang, Mateo Gomez, Terrence R. Meyer, Jun Chen
Proc. ASME. FEDSM2021, Volume 2: Fluid Applications and Systems; Fluid Measurement and Instrumentation, V002T04A008, August 10–12, 2021
Paper No: FEDSM2021-65861
DOI: https://doi.org/10.1115/FEDSM2021-65861
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Topics: Drops, Holography, Shapes, Algorithms, Uncertainty, Additive manufacturing, Ambiguity, Bubbles, Geometry, Multiphase flow
Proceedings Papers

Flow Field Investigation in Draft Tube of Francis Turbine at Off-Design Operation Using a Vortex Identification Algorithm

Sandeep Kumar, Subodh Khullar, Bhupendra K. Gandhi
Proc. ASME. FEDSM2021, Volume 2: Fluid Applications and Systems; Fluid Measurement and Instrumentation, V002T03A013, August 10–12, 2021
Paper No: FEDSM2021-65742
DOI: https://doi.org/10.1115/FEDSM2021-65742
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Topics: Algorithms, Design, Flow (Dynamics), Francis turbines, Ropes, Shear (Mechanics), Vortices
Proceedings Papers

Impact of Urban Microclimate on Air Conditioning Energy Consumption Using Different Convective Heat Transfer Coefficient Correlations Available in Building Energy Simulation Tools

Sambhaji T. Kadam, Ibrahim Hassan, Liangzhu (Leon) Wang, Mohammad Azizur Rahman
Proc. ASME. FEDSM2021, Volume 2: Fluid Applications and Systems; Fluid Measurement and Instrumentation, V002T03A002, August 10–12, 2021
Paper No: FEDSM2021-65589
DOI: https://doi.org/10.1115/FEDSM2021-65589
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Topics: Air conditioning, Cities, Convection, Energy consumption, Microclimate, Simulation, Roofs, Errors, Algorithms, Cooling
Proceedings Papers

Fuzzy Method Applied at Energetic and Economic Rehabilitation of Pumping Station

Victorita Radulescu
Proc. ASME. FEDSM2021, Volume 2: Fluid Applications and Systems; Fluid Measurement and Instrumentation, V002T03A032, August 10–12, 2021
Paper No: FEDSM2021-65616
DOI: https://doi.org/10.1115/FEDSM2021-65616
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Topics: Economics , Pumping stations, Water supply, Pumps, Algorithms, Cities, Flow (Dynamics), Interpolation, Optimization, Polynomial approximation
Proceedings Papers

Trilinos Solvers Scalability on a MFiX-Trilinos Framework Applied to Fluidized Bed Simulations

Arturo Rodriguez, V. M. Krushnarao Kotteda, Luis F. Rodriguez, Vinod Kumar, Jorge A. Munoz
Proc. ASME. FEDSM2020, Volume 2: Fluid Mechanics; Multiphase Flows, V002T04A033, July 13–15, 2020
Paper No: FEDSM2020-20250
DOI: https://doi.org/10.1115/FEDSM2020-20250
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Topics: Engineering simulation, Fluidized beds, Multiphase flow, Simulation, Computational fluid dynamics, FORTRAN, Linear systems, Algorithms, Architecture, Flow (Dynamics)
Proceedings Papers

Parametric Optimization of a Dry Powder Inhaler

V. M. Krushnarao Kotteda, Antara Badhan, Vinod Kumar
Proc. ASME. FEDSM2020, Volume 3: Computational Fluid Dynamics; Micro and Nano Fluid Dynamics, V003T05A059, July 13–15, 2020
Paper No: FEDSM2020-20391
DOI: https://doi.org/10.1115/FEDSM2020-20391
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Topics: Optimization, Particulate matter, Engineering simulation, Simulation, Algorithms, Boundary-value problems, Computational fluid dynamics, Flow (Dynamics), Gaussian distribution, Machine learning
Proceedings Papers

Particle Tracking Velocimetry in Noisy Environment

Seyedmohammad Mousavisani, Scott D. Kelly, Sajad Kafashi, Stuart T. Smith
Proc. ASME. FEDSM2020, Volume 1: Fluid Applications and Systems; Fluid Measurement and Instrumentation, V001T02A010, July 13–15, 2020
Paper No: FEDSM2020-20401
DOI: https://doi.org/10.1115/FEDSM2020-20401
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Topics: Particulate matter, Flow (Dynamics), Trains, Algorithms, Density, Encryption, Filtration, Imaging, Microparticles, Noise (Sound)
Proceedings Papers

Aerodynamic Subsonic Model at Transitional/Turbulent Reynolds Number for Bluff-Ellipsoidal Hulls

Jorge A. Ricardo, Jr., Davi Antônio dos Santos, Elisan dos Santos Magalhães
Proc. ASME. FEDSM2020, Volume 2: Fluid Mechanics; Multiphase Flows, V002T03A008, July 13–15, 2020
Paper No: FEDSM2020-20340
DOI: https://doi.org/10.1115/FEDSM2020-20340
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Topics: Hull, Reynolds number, Turbulence, Computational fluid dynamics, Simulation, Algorithms, Drag (Fluid dynamics), Eddies (Fluid dynamics), Fluids, Large eddy simulation
Proceedings Papers

Optimal Control Strategy to Distribute Water Through Loop-Like Planar Networks

Bharat Soni, Utkarsh A. Mishra, Ameeya Kumar Nayak
Proc. ASME. FEDSM2020, Volume 2: Fluid Mechanics; Multiphase Flows, V002T03A025, July 13–15, 2020
Paper No: FEDSM2020-20097
DOI: https://doi.org/10.1115/FEDSM2020-20097
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Topics: Flow (Dynamics), Optimal control, Water, Pressure, Algorithms, Circuits, Laminar flow, Optimization, Optimization algorithms, Unsteady flow
Proceedings Papers

Effect of Active and Passive Curvature on the Hydrodynamic Performance of Flapping Fins

David Fernández-Gutiérrez, Wim M. van Rees
Proc. ASME. FEDSM2020, Volume 2: Fluid Mechanics; Multiphase Flows, V002T03A009, July 13–15, 2020
Paper No: FEDSM2020-20044
DOI: https://doi.org/10.1115/FEDSM2020-20044
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Topics: Fins, Deformation, Shapes, Algorithms, Cycles, Flow (Dynamics), Membranes, Geometry, Mechanical properties, Muscle
Proceedings Papers

On the Application of the Full Reynolds Stress Model for Unsteady CFD in Hydraulic Turbomachines

Ernesto Casartelli, Luca Mangani, David Roos, Armando Del Rio
Proc. ASME. FEDSM2020, Volume 3: Computational Fluid Dynamics; Micro and Nano Fluid Dynamics, V003T05A030, July 13–15, 2020
Paper No: FEDSM2020-20398
DOI: https://doi.org/10.1115/FEDSM2020-20398
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Topics: Computational fluid dynamics, Stress, Turbomachinery, Turbulence, Algorithms, Anisotropy, Eddies (Fluid dynamics), Engineering simulation, Flow (Dynamics), Simulation
Proceedings Papers

Dynamic Aeroelastic Response of Wind Turbine Rotors Under Active Flow Control

Muraleekrishnan Menon, Fernando L. Ponta
Proc. ASME. AJKFluids2019, Volume 4: Fluid Measurement and Instrumentation; Micro and Nano Fluid Dynamics, V004T04A008, July 28–August 1, 2019
Paper No: AJKFluids2019-4731
DOI: https://doi.org/10.1115/AJKFluids2019-4731
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Topics: Flow control, Rotors, Wind turbines, Blades, Stress, Aerodynamics, Chords (Trusses), Turbines, Dynamics (Mechanics), Weight (Mass)
Proceedings Papers

Mix Width, Bubble and Spike Amplitudes in Three-Dimensional Numerical Simulations of Turbulent Mixing Driven by Spherical Implosions

Moutassem El Rafei, Ben Thornber
Proc. ASME. AJKFluids2019, Volume 5: Multiphase Flow, V005T05A020, July 28–August 1, 2019
Paper No: AJKFluids2019-4968
DOI: https://doi.org/10.1115/AJKFluids2019-4968
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Topics: Bubbles, Computer simulation, Turbulence, Pellet fusion, Algorithms, Computation, Engineering simulation, High pressure (Physics), Kinetic energy, Shells
Proceedings Papers

Reynolds-Averaged Navier-Stokes Modeling of Turbulent Rayleigh-Taylor, Richtmyer-Meshkov, and Kelvin-Helmholtz Mixing Using a Higher-Order Shock-Capturing Method

Oleg Schilling
Proc. ASME. AJKFluids2019, Volume 5: Multiphase Flow, V005T05A021, July 28–August 1, 2019
Paper No: AJKFluids2019-5235
DOI: https://doi.org/10.1115/AJKFluids2019-5235
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Topics: Modeling, Shock (Mechanics), Turbulence, Engineering simulation, Simulation, Sulfur, Algorithms, Compressibility, Computation, Density
Proceedings Papers

Characterization of Thermals in a Heated Turbulent Boundary Layer

Kadeem Dennis, Kamran Siddiqui
Proc. ASME. AJKFluids2019, Volume 1: Fluid Mechanics, V001T01A028, July 28–August 1, 2019
Paper No: AJKFluids2019-5436
DOI: https://doi.org/10.1115/AJKFluids2019-5436
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Topics: Boundary layer turbulence, Flow (Dynamics), Boundary layers, Algorithms, Flow visualization, Mixed convection, Buoyancy, Drag (Fluid dynamics), Dynamics (Mechanics), Engineering systems and industry applications
Proceedings Papers

Numerical Simulation and Neural Network Study Using an Upstream Cylinder for Flow Control of an Airfoil

Meihua Zhang, Zhongquan Charlie Zheng, Yangliu Liu, Xiaoyu Jiang
Proc. ASME. AJKFluids2019, Volume 2: Computational Fluid Dynamics, V002T02A045, July 28–August 1, 2019
Paper No: AJKFluids2019-4724
DOI: https://doi.org/10.1115/AJKFluids2019-4724
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Topics: Airfoils, Algorithms, Artificial neural networks, Computer simulation, Cylinders, Flow control, Genetic algorithms
Proceedings Papers

Simulation of Incompressible Multiphase Flows Using the Artificial Compressibility Method

Mohammad Mortezazadeh, Kazem Hejranfar
Proc. ASME. FEDSM2018, Volume 2: Development and Applications in Computational Fluid Dynamics; Industrial and Environmental Applications of Fluid Mechanics; Fluid Measurement and Instrumentation; Cavitation and Phase Change, V002T09A001, July 15–20, 2018
Paper No: FEDSM2018-83013
DOI: https://doi.org/10.1115/FEDSM2018-83013
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Topics: Compressibility, Multiphase flow, Simulation, Currents, Energy dissipation, Algorithms, Fluids, Navier-Stokes equations, Oscillations, Pressure gradient
Proceedings Papers

Machine Learning Approach to Predict the Flow Rate for an Immiscible Two-Phase Flow at Pore Scale for Enhanced Oil Recovery Application

Arturo Rodriguez, V. M. Krushnarao Kotteda, Luis F. Rodriguez, Vinod Kumar, Arturo Schiaffino, Zackery R. Nieto
Proc. ASME. FEDSM2018, Volume 2: Development and Applications in Computational Fluid Dynamics; Industrial and Environmental Applications of Fluid Mechanics; Fluid Measurement and Instrumentation; Cavitation and Phase Change, V002T09A003, July 15–20, 2018
Paper No: FEDSM2018-83050
DOI: https://doi.org/10.1115/FEDSM2018-83050
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Topics: Flow (Dynamics), Machine learning, Tertiary petroleum recovery, Two-phase flow, Petroleum extraction, Pressure drop, Surface tension, Viscosity, Algorithms, Brain