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1 A Project Presentation for Applied Computational Fluid Dynamics By Reni Raju Finite Element Model of Gas Flow inside a Microchannel MECH - 523
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2 Objectives Develop a 2D Finite Element Model for gas flow inside a microchannel. Develop FE formulation for N-S equations. Implement Slip and temperature boundary conditions. Compare Numerical and Experimental Data for Microchannel.
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3 Microchannel ParameterRange or Mean Value Length L 3000 m Width W 40 m Height H 1.2 m Pressure Ratio1.340, 1.680, 2.020, 2.361, 2.701 Inlet Temperature T 0 314 K Wall Temperature T w 314 K Knudsen Number, (Kn= l /L)0.055 Abs. Viscosity 1.85 x 10 -5 Ns/m 2 Spec. Gas Constant (N 2 ) R296.7 J/kg K Ratio of Spec. heats 1.4 Numerical data from Chen et al (1998) +H/2 - H/2 y x Experimental data from Pong et. al (1994)
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4 Governing Equations Continuity Momentum Energy Equation of State
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5 Normalized Equations Continuity Momentum Energy Equation of State
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6 Flow Regimes Kn=0.00010.0010.010.1110100 Continuum Regime Slip Flow Regime Transition Regime Molecular Regime Knudsen Number Gad-el-hak (1999)
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7 Wall Conditions Wall Slip Maxwell (1879)
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8 Thermal Boundary Condition Temperature Jump Von Smoluchowski (1898)
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9 Finite Element Algorithm Developed by the Computational Plasma Dynamics Laboratory at Kettering University (Roy, CMAME, v184, 87-98, 2000). A Family of complex subroutines that can study macroscopic collisional plasmas. (Roy and Pandey, POP, v9, 4052-60, 2002). Written in Fortran 77, use Cray-style Fortran pointers, and are designed for UNIX-type environment. Two dimensional formulation (so far). Implemented Sub-Grid Embedded (SGM) FE for Coarse-grid solution Stability,Accuracy and Tri-diagonal Efficiency (Roy and Baker, NHT-B, v33, 5-36, 1998). Utilized to model Compressible flow through Electric Propulsion thrusters including Microchannels.
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10 Numerical Details Weak Statement Discrete Approximation N k is appropriate basis function; Chebyshev, Lagrange or Hermite interpolation polynomials complete to degree k. Problem Statement
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11 FE Formulation Momentum Equation Variable Discretized Weak Statement
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12 Discretization FE BasisCartesian Coordinate 1 4 2 3 7 8 6 5 11 9
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13 Global/Local frame Diffusion Term Matrix Form Element Jacobian Differential Element
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14 Solution Procedure NR Iteration Convergence Criteria = 10 -4 for all integrated quantities. FE Formulation Time Integration Form
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15 Mesh FE basis 2D-Quadratic 9-node 2D-Bilinear 4-node Mesh 1369 nodes 324 elements 1 4 2 3 7 8 6 5 11 9 1 4 2 3 11 22 22
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16 Code Format do i = 1,4 do j = 1,9 ii = loc_rho(i) jj = loc_v1(j) term = wt * rho * Nmat22(i) * DNmat33Dx(j) elemk_lin(ii,jj) = elemk_lin(ii,jj) + term jj = loc_v2(j) term = wt * epsi * rho * Nmat22(i) * DNmat33Dy(j) elemk_lin(ii,jj) = elemk_lin(ii,jj) + term enddo do i = 1,4 do j = 1,4 ii = loc_rho(i) jj = loc_rho(j) term = wt * velx * Nmat22(i) * DNmat22Dx(j) elemk_lin(ii,jj) = elemk_lin(ii,jj) + term jj = loc_rho(j) term = wt * epsi * vely * Nmat22(i) * DNmat22Dy(j) elemk_lin(ii,jj) = elemk_lin(ii,jj) + term enddo
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17 Boundary conditions At the Inlet The Gas temperature T i is specified as 314 K. The y-component of the velocity v = 0. Inlet pressure, P i is specified based on the corresponding Pressure ratio. At the Outlet The pressure at the outlet, P 0 is 100.8 KPa. On the Walls (No-slip) For isothermal wall the wall temperature T w is 314 K. u and v velocity components = 0.
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18 Pressure Microchannel Flow Contours Velocity Pressure ratios: 1.340, 1.680, 2.020, 2.361, 2.701 Channel Aspect Ratio: 2500
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19 Slip/No-Slip Comparison Slip variation up to ~ +8% Velocity Slip variation up to ~ +4% Pressure
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20 Pressure Distribution (Numerical-Experimental Comparison) Experimental validation within ~ 4 % Numerical validation within ~ 1.3 %
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21 Velocity Profile (Numerical-Numerical Comparison) Numerical validation within ~ 2.5 %
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22 Conclusion For Microchannel- Finite Element Model compares well with reported Numerical and Experimental results. The slip conditions show higher flow rates. +H/2 - H/2 y x
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23 Future Scope Extend to the applicability of Slip-flow conditions to the Transition regime, ( 0.1 < Kn < 10 ). Applicability to higher Knudsen number ranges (Nanoscale devices).
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24 Acknowledgements Dr. Subrata Roy. Dr. Birendra Pandey. Center of Nanotechnology, NASA Ames. NSF/NPACI Supercomputer. Electric Propulsion Laboratory, NASA Glenn Research Center.
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