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The Master Thesis Numerical Analysis of Flow-Field-
Flow Fractionation is a part of the Nanoparticles
and Bioparticles Project NaBiPa developed by the
Fachhochschule Offenburg University of Applied
Sciences and is financially supported by Deutscher
Akademischer Austausch Dienst D.A.A.D. NaBiPa is a
part of International Quality Network IQN, which
is a collaboration of different universities and
institutions from all around the world in order to
study and investigate in miscellaneous topics
related to Nano- and Bioparticles. One of the
branches of NaBiPa project is dedicated to study and
investigate the Field-Flow Fractionation (FFF)
process. The aim of this Master Work is to add the
diffusion driven transport to the channel, which has
been studied before, with a new approach. The three
new approaches that have been worked on are;
Eulerian two phase instead of Euler-Lagrange model,
Multi component mixing and Theoretical-analytical
approach. The study is composed of four sections as
a method of organizing; Theory, Mathematical
Modeling, Computer Simulation and Case Studies.
Flow Fractionation is a part of the Nanoparticles
and Bioparticles Project NaBiPa developed by the
Fachhochschule Offenburg University of Applied
Sciences and is financially supported by Deutscher
Akademischer Austausch Dienst D.A.A.D. NaBiPa is a
part of International Quality Network IQN, which
is a collaboration of different universities and
institutions from all around the world in order to
study and investigate in miscellaneous topics
related to Nano- and Bioparticles. One of the
branches of NaBiPa project is dedicated to study and
investigate the Field-Flow Fractionation (FFF)
process. The aim of this Master Work is to add the
diffusion driven transport to the channel, which has
been studied before, with a new approach. The three
new approaches that have been worked on are;
Eulerian two phase instead of Euler-Lagrange model,
Multi component mixing and Theoretical-analytical
approach. The study is composed of four sections as
a method of organizing; Theory, Mathematical
Modeling, Computer Simulation and Case Studies.