Yazar "Yildiz, Z." seçeneğine göre listele

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    Comparison of Modeling Approaches for Prediction of Cleaning Efficiency of the Electromagnetic Filtration Process
    (Applied Computational Electromagnetics Soc, 2011) Yildiz, Z.; Yuceer, M.; Abbasov, T.
    The present study aims at applying different methods for predicting the cleaning efficiency of the electromagnetic filtration process (psi) in the mixtures of water and corrosion particles (rust) of low concentrations. In our study, artificial neural network (ANN), multivariable least square regression (MLSR), and mechanistic modelling approaches were applied and compared for prediction of the cleaning efficiency for the electromagnetic filtration process. The results clearly show that the use of ANN led to more accurate results than the mechanistic filtration and MLSR models. Therefore, it is expected that this study can be a contribution to the cleaning efficiency.
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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.