Modelo numerico eficiente para flujo electrocinetico en sistemas microfluidicos con geometrias complejas

Microfluidic devices like those used in chemical and biomedical applications basically consist of different networks of microchannels that interconnect chambers and reservoirs. The transport of fluids throughout the network is driven by pressure gradients, electric fields, or a combination of the tw...

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Detalles Bibliográficos
Autores: Kler, Pablo Alejandro, Guarnieri, Fabio Ariel, Dalcin, Lisandro Daniel
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2007
País:Argentina
Institución:Consejo Nacional de Investigaciones Científicas y Técnicas
Repositorio:CONICET Digital (CONICET)
Idioma:español
OAI Identifier:oai:ri.conicet.gov.ar:11336/22874
Acceso en línea:http://hdl.handle.net/11336/22874
Access Level:acceso abierto
Palabra clave:MICROFLUIDICA
FLUJO ELECTROCINETICO
DESCOMPOSICION DE DOMINIO
PETSC-FEM
NAVIER-STOKES
Descripción
Sumario:Microfluidic devices like those used in chemical and biomedical applications basically consist of different networks of microchannels that interconnect chambers and reservoirs. The transport of fluids throughout the network is driven by pressure gradients, electric fields, or a combination of the two, which yields to the so-called electrokinetic flow. Analytical and numerical models have been used to aid in the design and simulation before fabrication with MEMS technology. Efficient numerical models are required since typical microchannel dimensions are in the range of several micrometers in width and depth and some centimeters in length. The numerical solution is carried out by using PETSC-FEM, for which we have developed a python interface for pre- and postprocessing using third-parties programs (Tetgen, Mayavi). A parallelizable preconditioner for Domain Decomposition Methods (DDM) by means of Finite Element discretization of Navier-Stokes equations is used to improve the convergence of problems with different scales like in microfluidic problems.