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Richard Adansi
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Proceedings Papers

Atmospheric Turbulence Intermittency Effects on Remote Sensing Laser Propagation

Arturo Rodriguez, V. S. Rao Gudimetla, Richard Adansi, Jose Terrazas, Vicente Corral, Christopher Harris, Vinod Kumar, Rafael Baez, Brandon Paez
Proc. ASME. FEDSM2022, Volume 1: Fluid Applications and Systems (FASTC); Fluid Measurement and Instrumentation (FMITC); Fluid Mechanics (FMTC), V001T03A008, August 3–5, 2022
Publisher: American Society of Mechanical Engineers
Paper No: FEDSM2022-86958
https://doi.org/10.1115/FEDSM2022-86958
View Paper titled, Atmospheric Turbulence Intermittency Effects on Remote Sensing Laser Propagation
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Topics: Lasers, Turbulence, Fluid dynamics, Refractive index, Approximation, Computer simulation, Statistical distributions, Tradeoffs
Proceedings Papers

Three-Dimensional Two-Phase Flow Simulations of Water Braking Phenomena for High-Speed Test Track Sled

Jose Terrazas, Arturo Rodriguez, Vinod Kumar, Richard Adansi, V. M. Krushnarao Kotteda
Proc. ASME. FEDSM2021, Volume 1: Aerospace Engineering Division Joint Track; Computational Fluid Dynamics, V001T02A009, August 10–12, 2021
Publisher: American Society of Mechanical Engineers
Paper No: FEDSM2021-65799
https://doi.org/10.1115/FEDSM2021-65799
View Paper titled, Three-Dimensional Two-Phase Flow Simulations of Water Braking Phenomena for High-Speed Test Track Sled
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Topics: Braking, Computational fluid dynamics, Engineering simulation, Multiphase flow, Simulation, Two-phase flow, Water, Brakes, Inflow, Vehicles
Proceedings Papers

Fractal and Convolutional Analysis for Deep Atmospheric Turbulence Using Machine Learning

Nicholas Dudu, Arturo Rodriguez, Gael Moran, Jose Terrazas, Richard Adansi, V. M. Krushnarao Kotteda, Christopher Harris, Vinod Kumar
Proc. ASME. FEDSM2021, Volume 1: Aerospace Engineering Division Joint Track; Computational Fluid Dynamics, V001T02A051, August 10–12, 2021
Publisher: American Society of Mechanical Engineers
Paper No: FEDSM2021-65798
https://doi.org/10.1115/FEDSM2021-65798
View Paper titled, Fractal and Convolutional Analysis for Deep Atmospheric Turbulence Using Machine Learning
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Topics: Fractals, Machine learning, Turbulence, Dimensions, Artificial neural networks, Flow (Dynamics), Large eddy simulation, Scalars, Shapes, Trains
Proceedings Papers

Aerodynamic Performance of Design for a CO 2 Dragster

Brandon Paez, Arturo Rodriguez, Nicholas Dudu, Jose Terrazas, Richard Adansi, V. M. Krushnarao Kotteda, Julio C. Aguilar, Vinod Kumar
Proc. ASME. FEDSM2021, Volume 1: Aerospace Engineering Division Joint Track; Computational Fluid Dynamics, V001T02A040, August 10–12, 2021
Publisher: American Society of Mechanical Engineers
Paper No: FEDSM2021-65793
https://doi.org/10.1115/FEDSM2021-65793
View Paper titled, Aerodynamic Performance of Design for a CO 2 Dragster
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Topics: Carbon dioxide, Design, Fluid structure interaction
Proceedings Papers

Performing Fourier Transform on a Velocity Profile From Atmospheric Turbulence Studies

Richard Adansi, Jose Terrazas, Arturo Rodriguez, V. M. Krushnarao Kotteda, Vinod Kumar, Aldo Rubio, Edgar Avalos
Proc. ASME. FEDSM2021, Volume 1: Aerospace Engineering Division Joint Track; Computational Fluid Dynamics, V001T02A035, August 10–12, 2021
Publisher: American Society of Mechanical Engineers
Paper No: FEDSM2021-65812
https://doi.org/10.1115/FEDSM2021-65812
View Paper titled, Performing Fourier Transform on a Velocity Profile From Atmospheric Turbulence Studies
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Topics: Fourier transforms, Turbulence
Proceedings Papers

Causal Inference Analysis to Find Relationships Found in Boundary-Layer Transition – Part I: Theoretical

Arturo Rodriguez, Jose Terrazas, Richard Adansi, V. M. Krushnarao Kotteda, Jorge A. Munoz, Vinod Kumar
Proc. ASME. FEDSM2021, Volume 1: Aerospace Engineering Division Joint Track; Computational Fluid Dynamics, V001T02A050, August 10–12, 2021
Publisher: American Society of Mechanical Engineers
Paper No: FEDSM2021-61843
https://doi.org/10.1115/FEDSM2021-61843
View Paper titled, Causal Inference Analysis to Find Relationships Found in Boundary-Layer Transition – Part I: Theoretical
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Topics: Boundary layers, Turbulence, Flow (Dynamics), Computational fluid dynamics, Fluctuations (Physics), Reynolds number, Vehicles, Defense industry, Design, Fluid dynamics
Proceedings Papers

A CNN With Deep Learning for Non-Equilibrium Characterization of Al-Sm Melt Infusion Into a B4C Packed Bed

Julio Aguilar, Laura Sandoval, Arturo Rodriguez, Sanjay Shantha Kumar, Jose Terrazas, Richard Adansi, Vinod Kumar, Arturo Bronson
Proc. ASME. FEDSM2021, Volume 3: Fluid Mechanics; Micro and Nano Fluid Dynamics; Multiphase Flow, V003T08A020, August 10–12, 2021
Publisher: American Society of Mechanical Engineers
Paper No: FEDSM2021-65794
https://doi.org/10.1115/FEDSM2021-65794
View Paper titled, A CNN With Deep Learning for Non-Equilibrium Characterization of Al-Sm Melt Infusion Into a B4C Packed Bed
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Topics: Alloys, Artificial neural networks, Equilibrium (Physics), Fluid dynamics, High temperature, Metals, Porosity, Scanning electron microscopes, Temperature, Vehicles