Convection and diffusion in a micro flow injection system
Akker van, Eelke Bauke (1999) Convection and diffusion in a micro flow injection system. thesis.
|Abstract:||Much has been written about the theoretical background of Flow Injection
Analysis (FIA) systems. Until now the prediction of the dispersion in a FIA
system was restricted to the use of simple formulae or two-dimensional
numerical models. Through recent developments in computer hardware and, at
the same time, the development of efficient computational fluid dynamics
software it is possible, with the use of a three dimensional model (based on the
Navier-Stokes equations), to make a 1 to 1 translation between experimental
systems and systems based on numerical calculations. A 1 to 1 translation
means that only (fundamental) parameters are necessary in the numerical
description without the need for fit or match factors. All the known phenomena,
such as convection and diffusion, are incorporated in this description. The
fundamental parameters in this thesis are: the concentrations, the diffusion
coefficients, the geometry, the flow rates and in case of a reaction, the reaction
constant, the reaction equation and reaction order.
Next to these macro FIA systems the micro FIA systems are emerging. These
systems have many advantages compared to the traditional macro systems.
Two examples are: a considerable reduction in analyte consumption and the
development of portable systems. One disadvantage of the current
microsystems, is the expensive development. It would be very helpful, money
wise, if numerical calculations could be used for the development of an optimal
microsystem. In this thesis the results of a three dimensional numerical model,
based on the Navier-Stokes equations, are compared with experimental
results. This has been done for channels of different geometries, different flow
rates and a simple reaction.
|Link to this item:||http://purl.utwente.nl/publications/8859|
|Export this item as:||BibTeX|
Daily downloads in the past month
Monthly downloads in the past 12 months
Repository Staff Only: item control page
Metis ID: 104983