n umerical s imulations motolani olarinre ivana seric mandeep singh

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NUMERICAL SIMULATIONS Motolani Olarinre Ivana Seric Mandeep Singh

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  • Slide 1
  • N UMERICAL S IMULATIONS Motolani Olarinre Ivana Seric Mandeep Singh
  • Slide 2
  • I NTRODUCTION
  • Slide 3
  • M ETHOD AND BC S
  • Slide 4
  • N UMERICAL R ESULTS Types of wave profiles: -Traveling wave solution -Convective instability -Absolute instability Figure: Flow down the vertical plane (t=10). From top to bottom, N=16, 22, 27.
  • Slide 5
  • S TABLE TRAVELING WAVE SOLUTION
  • Slide 6
  • Flow down the vertical plane (N=16). From top to bottom, t=0, 40, 80, 120.
  • Slide 7
  • C ONVECTIVE INSTABILITY Figure: N=22, flow down the vertical. From top to bottom, t=0, 40, 80, 120.
  • Slide 8
  • C ONVECTIVE INSTABILITY
  • Slide 9
  • A BSOLUTE INSTABILITY Figure: N=27, absolute instability. From top to bottom, t=0, 40, 80, 120.
  • Slide 10
  • A BSOLUTE INSTABILITY
  • Slide 11
  • Slide 12
  • S PEED OF THE LEFT BOUNDARY NumLSANumLSA 18.617.7925.4325.44 24.424.1330.630.46
  • Slide 13
  • NUMERICS
  • Slide 14
  • F INITE D IFFERENCE D ISCRETIZATION P ROCEDURE
  • Slide 15
  • Slide 16
  • O UR S IMULATIONS We ran simulations in FORTRAN using the following parameters: C = 1, B = 0, N = 10, U = 1, b = 0.1, beta = 1. These parameters indicate a liquid crystal flowing down a vertical surface (90 degree angle) The output from our simulations were plotted and analyzed using MATLAB
  • Slide 17
  • We ran simulations for two distinct cases: Constant Flux: Uses a semi-infinite hyperbolic tangent profile for its initial condition. Simulates a case where an infinite volume of liquid is flowing. Constant Volume: Uses a square hyperbolic tangent profile for its initial condition. Simulates a case where a drop is flowing. O UR S IMULATIONS
  • Slide 18
  • Slide 19
  • G ROWTH R ATE A NALYSIS
  • Slide 20
  • Slide 21
  • Slide 22
  • 80.7854 100.6283 120.5236 140.4488 160.3927 180.3491 200.3142
  • Slide 23
  • Slide 24
  • Slide 25
  • G ROWTH R ATE A NALYSIS