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Optimization of Electromagnetic Filtration Variables Using a Nelder-Mead Simplex Method
(Taylor & Francis Inc, 2011) Yildiz, Z.; Sener, E.; Yuceer, M.
In this study, we aimed at optimizing the parameters that govern the separation efficiency in the electromagnetic filtration (EMF) of magnetizable dispersed particles from a water medium. Thus, we employed a Nelder-Mead modified simplex algorithm to maximize EMF efficiency choosing the external magnetic field strength, size of the filter matrix elements, filter length, and filtration velocity as variables to be optimized. It has been found that EMF efficiency decreased with increasing the filtration velocity and the size of the filter matrix elements. On the other hand, EMF efficiency increased when the filter length and the external magnetic strength was increased. Four variables were successfully optimized and a maximum level of EMF efficiency percentage of 77.05 was achieved by performing only 26 experiments. The results are expected to be useful in the future to predict the operating conditions of similar EMF systems.