Engineering topics
Jensen, James
Publications and source records attributed to Jensen, James.
Predicting Quadcopter Drone Noise Using the Lattice-Boltzmann Method
No abstract available
Predicting Orion Pad Abort Vibrations to Keep Astronauts Safe
No abstract available
Predicting Quadcopter Drone Noise Using the Lattice Boltzmann Method
The market for new vertical takeoff and landing vehicles, including autonomous urban air taxis and drones for applications such as package delivery, imaging, and surveillance, is growing rapidly. However, aerodynamic noise continues to be the biggest roadblock to community acceptance and adoption. To predict the aerodynamic noise generated by an isolated quadcopter drone, derived from from first principles, we used the Lattice Boltzmann flow solver within NASA’s Launch Ascent and Vehicle Aerodynamics (LAVA) solver framework. The solver’s computational efficiency, and the complete absence of labor-intensive manual volume mesh generation in the workflow, are key to making routine aeroacoustic analysis of urban air taxis and drones from first principles possible.
Launch, Ascent, and Vehicle Aerodynamics Scale-Resolving Simulations for NASA Applications
No abstract available
High-Resolution Launch Environment Simulations
After many years of harsh rocket launches, the Main Flame Deflector (MFD) at Kennedy Space Center has been upgraded in anticipation of flights of NASA’s next generation Space Launch System. The new MFD has a much easier to maintain shingled steel surface.
LAVA Contribution to HiLiftPW-3
Launch Ascent and Vehicle Aerodynamics (LAVA) (Computational Fluid Dynamics (CFD) solver) contribution to HiLiftPW-3 (3rd AIAA CFD High Lift Prediction Workshop). Including HL-CRM (NASA High Lift Common Research Model) and JSM (Joint Statistical Modeling) case studies.
Experimental and Computational Study for the X-59 Wind Tunnel Model at Glenn Research Center 8- by 6-Foot Supersonic Wind Tunnel
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