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International Journal of Nonlinear Sciences and Numerical Simulation

Editor-in-Chief: Birnir, Björn

Editorial Board: Armbruster, Dieter / Bessaih, Hakima / Chou, Tom / Grauer, Rainer / Marzocchella, Antonio / Rangarajan, Govindan / Trivisa, Konstantina / Weikard, Rudi

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2191-0294
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Volume 19, Issue 3-4

Issues

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

Xueye Chen
  • Corresponding author
  • Faculty of Mechanical Engineering and Automation, Liaoning University of Technology, Jinzhou 121001, China
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Shuai Zhang
  • Faculty of Mechanical Engineering and Automation, Liaoning University of Technology, Jinzhou 121001, China
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2018-06-05 | DOI: https://doi.org/10.1515/ijnsns-2017-0013

Abstract

A 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.

Keywords: serpentine micromixer; macromodel; model order reduction; Krylov subspace

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About the article

Received: 2017-01-15

Accepted: 2017-11-08

Published Online: 2018-06-05

Published in Print: 2018-06-26


This work was supported by Liaoning Province Doctor Startup Fund (20141131), Fund of Liaoning Province Education Administration (L2014241), and the Fund in Liaoning University of Technology (X201301).


Citation Information: International Journal of Nonlinear Sciences and Numerical Simulation, Volume 19, Issue 3-4, Pages 275–280, ISSN (Online) 2191-0294, ISSN (Print) 1565-1339, DOI: https://doi.org/10.1515/ijnsns-2017-0013.

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