Simulation and Optimization of Electromagnetohydrodynamic Flows. Brian Dennis Ph.D. Candidate Aerospace Engineering Dept. Penn State University George Dulikravich Professor Mechanical and Aerospace Dept. University of Texas at Arlington. Overview. Introduction
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Aerospace Engineering Dept.
Penn State University
Mechanical and Aerospace Dept.
University of Texas at Arlington
Fully Consistent Model of EMHD
Conservation of Mass
Re = 100
Re = 400
Re = 500
MHD LSFEM code was compared with the analytic solution to Poisuille-Hartmann flow
Computed and analytic velocity profile
Computed and analytic induced magnetic field
Simulation and Optimization of Magneto-hydrodynamic Flowswith LSFEM
Optimization of Magneto-Hydrodynamic Control of Diffuser Flows Using Micro-Genetic Algorithms and Least-Squares Finite Elements
Hybrid mesh for diffuser analysis
Given diffuser shape
Two optimizations were run simultaneously with 16 processors each.
Generation 100 was reached by both in about 30 hours
run 1 achieved a pressure increase of .207 Pa
run 2 achieved a pressure increase of .228 Pa
diffuser without an applied magnetic field achieved a pressure increase of .05 Pa.
With no applied magnetic field
With optimized applied magnetic field
Simulation of Magneto-hydrodynamic Flows with Conjugate Heat Transferwith LSFEM
Figure 14: Velocity magnitude for no applied magnetic field.
Figure 15: Streamlines for no applied magnetic field.
Figure 16: Velocity magnitude for optimized case 1.
Figure 17: Streamlines for optimized case 1.
Figure 21: Velocity magnitude for optimized case 2.
Figure 22: Streamlines for optimized case 2.
Figure 10. Isotherms and streamlines without and with an optimized magnetic field (test case 2 with six sensors)
Simulation of Electro-magneto-hydrodynamic Channel Flows