Numerical Simulation of Fibre Reorientation in a Squeezing Flow and other Flow Geometries using an Explicit Projection Method

1992 ◽  
pp. 177-188
Author(s):  
A. B. Wheeler ◽  
R. S. Jones ◽  
T. N. Phillips
Keyword(s):  
Numerical Simulation ◽  
Projection Method ◽  
Squeezing Flow

A Novel Macromodel based on Krylov Subspace Projection Method for Micromixers with Serpentine Channels

2018 ◽  
Vol 19 (3-4) ◽  
pp. 275-280 ◽  
Author(s):  
Xueye Chen ◽  
Shuai Zhang
Keyword(s):  
Numerical Simulation ◽  
Galerkin Method ◽  
Projection Method ◽  
Computational Efficiency ◽  
Krylov Subspace ◽  
Orthogonal Basis ◽  
Subspace Projection ◽  
Relative Deviation ◽  
Simulation Results ◽  
Arbitrary Location

AbstractA novel macromodel based on Krylov subspace projection method for micromixers with serpentine channels is presented. The physical equations are discretized using Galerkin method. The orthogonal basis is obtained and the discrete matrix is assembled with Arnoldi procedure based on Krylov subspace projection. The obtained macromodel can be used to calculate the concentration of the sample at arbitrary location of serpentine micromixers. The maximal relative deviation is 2 % between macromodel and only numerical simulation. The computational efficiency of the macromodel will be improved significantly with the numbers of serpentine channels increasing. Simulation results demonstrated that the macromodel is flexible, effective and easily operated for rapid design and computation of serpentine micromixers.

Water uptake by substituted amylose tablets: experimentation and numerical simulation

2009 ◽  
Vol 00 (00) ◽  
pp. 090904073309027-8
Author(s):  
H.W. Wang ◽  
S. Kyriacos ◽  
L. Cartilier
Keyword(s):  
Numerical Simulation ◽  
Water Uptake
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