Prediction and optimization of Soret coefficient in ferrofluids
Multi-scale and/or multi-disciplinary approach to process-product innovation
CFD & Multiscale Modelling in Chemical Engineering (T3-4P)
Keywords: Simulation, Magnetic fluid, Soret coefficient, Optimization, Taguchi approach
In the present attempt a CFD simulation capable of coupling behaviors from the nano-scale through the full-scale system in which a ferrofluid containing magnetite particles suspended in kerosene carrier liquid is presented. The main objective of the work was to simulate the thermodifussion phenomenon in a cylindrical flat layer. A two-phase mixture model was used in the simulation to predict the Soret coefficient. To maximize the Soret coefficient, different parameters including temperature difference across the layer, initial magnetic phase concentration, aspect ratio of the geometry, magnetic field magnitude and diameter of magnetic particles at four levels were examined using L16 orthogonal array of Taguchi approach. Analysis of the simulation data indicated that magnetic Soret effect can even be higher than the conventional one and its strength depends on the magnetic field strength. This is confirmed experimentally by Völker and Odenbach [2004]. In addition diameter of magnetic particles has the least contribution on the Soret coefficient. From the Taguchi results temperature difference 80 K, initial concentration of magnetic phase 0.02, aspect ratio 1, magnetic field strength 160 KA/m, and magnetic particles diameter 10 nm were obtained as optimum conditions. Finally, based on the primary results, a verification test was also performed to confirm the validity of the used statistical method.
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Presented Tuesday 18, 13:30 to 15:00, in session CFD & Mutliscale Modelling in Chemical Engineering (T3-4P).
