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Öğe APPLICATION OF SIMULATED ANNEALING ALGORITHM FOR THE MAGNETIC FILTRATION PROCESS(Yildiz Technical Univ, 2019) Yildiz, Zehra; Yuceer, MehmetThe optimization of the magnetic filtration processes parameters on the separation performance of corrosion particles from waste-water suspensions by magnetic filter have been discussed. By using the magnetic filter performance formulas presented in the literature, a base model for magnetic filter performance is selected and the magnetic filter cleaning coefficient is optimized by changing several selected filter process parameters. The magnetic field intensity, diameter of the matrix elements (balls), filter length and filtration velocity are chosen as the inputs parameters and cleaning coefficient as output parameter. The Simulated Annealing (SA) Algorithm was applied to the model. Four variables were successfully optimized.Öğe Effect of Some Process Parameters on the Separation of the Dispersed Ferrous Impurities Using Cycled Electromagnetic Filter(Taylor & Francis Inc, 2010) Yildiz, Zehra; Abbasov, Teymuraz; Sarimeseli, AyseElectromagnetic filters (EMFs) can be effectively used for the cleaning of both industrial and domestic disposals such as waste water having low concentration and micron size of dispersed particles that show magnetic characteristics. In this work, we investigated the effect of some parameters of the filtration process, external magnetic field density, size of the filter matrix elements, filter length, filtration velocity, viscosity of the suspension, and number of the cycle on the separation efficiency of micron-sized particles that can be magnetized in an external magnetic field. It has been found that filtration efficiency decreased with increasing filtration velocity and suspension viscosity. Furthermore, the filter matrix elements geometry, pH value of the medium, and number of the cycling processes affected the cleaning efficiency. Recycling the suspension to the filter body allowed the cleaning process to be made in a smaller filter size with a high quality factor.Öğe Effect of Surfactants on the Particle Capture Mechanism in an Electromagnetic Filter(Taylor & Francis Inc, 2011) Abbasov, Teymuraz; Yildiz, Zehra; Sarimeseli, AyseIn this article, effects of the parameters of the filtration process and surfactants on the effectiveness of the separation of particles have been investigated. Water samples containing corrosion particles (rust) of low concentrations were mixed with a typical domestic type of detergent passed through an electromagnetic filter. It was found that the capturing capacity of the particles in the filter increased as the external magnetic field, filter length and the detergent concentration of the suspension increase, but the increase in diameter of the filter elements gave an opposite effect. Furthermore, it was recorded that the pH value of the suspension changes the efficiency of magnetic filter.Öğe Effect of the Magnetization Properties of the Granular Beds and the Operating Parameters on the Removal Ferrous Particles From the Waters by Using Magnetic Filter(Taylor & Francis Inc, 2013) Yildiz, Zehra; Abbasov, Teymuraz; Sarimeseli, AyseIn this article, magnetizing properties of different packed beds constructed from magnetic balls, pieces of rods, and chips were investigated in order to determine their effect on the magnetic filters' performance. Magnetizing curves obtained from the results show that the magnetization of packed beds constructed from magnetic balls is stronger than of those constructed from pieces of rods and/or chips. Effects of the external magnetic field intensity, filter length, and recycle number on the effectiveness of magnetic filtration of both solutions were also investigated. We found that corrosion particle capturing capacity of the filter from water medium in the filter increases by amplifying external magnetic field intensity, raising filter length, and recycle number until the filter is overloaded.Öğe Estimation of Magnetization Properties of the Ferromagnetic Poly-Granular Beds(Taylor & Francis Inc, 2010) Karadag, Teoman; Yildiz, Zehra; Sarimeseli, Ayse; Abbasov, TeymurazIn this article, magnetizing properties of the packed beds that are constructed from the mixture of the ferromagnetic spheres of various sizes, pieces of wires and chips are investigated both experimentally and theoretically in order to determine the effect of the volumetric packing factor on the magnetizing properties of the bed. The average magnetizing curve has been determined by maintaining the external homogeneous magnetic field (H) higher than 150kA/m.Öğe EVALUATION OF ELECTROMAGNETIC FILTRATION EFFICIENCY USING LEAST SQUARES SUPPORT VECTOR MODEL(Oficyna Wydawnicza Politechniki Wroclawskiej, 2015) Yuceer, Mehmet; Yildiz, Zehra; Abbasov, TeymurazThe present study aims to apply a least squares support vector model (LS-SVM) for predicting cleaning efficiency of an electromagnetic filtration process, also called quality factor, in order to remove corrosion particles (rust) of low concentrations from water media. For this purpose, three statistical parameters: correlation coefficient, root mean squared error and mean absolute percentage error were calculated for evaluating the performance of the LS-SVM model. It was found that the developed LS-SVM can be used to predict the effectiveness of electromagnetic filtration process.Öğe Performance Prediction of the Magnetic Packed Bed Using Response Surface Methodology(Taylor & Francis Inc, 2013) Yildiz, Zehra; Yuceer, Mehmet; Abbasov, TeymurazThe present study aims to response surface methodology (RSM) for predicting magnetizing properties of the matrix's elements of the magnetic filter that are constructed from the bi-mixture of the magnetic balls of various sizes, employed in the cleaning of the disperse mixture of water, and corrosion particles (rust) of low concentrations. Based on a three-level central composite design (CCRD) involving the variables H external magnetic field strength (139.55-314.45 kA/m) x 1 , L filter length (0.01-0.10) x 2 and E porosity fraction factor (0.44-0.54) x 3 , a RSM for B-H relation of the matrix of the magnetic filter. In this study, a CCRD was created with 20 runs, 8 cube points, 4 center points per cube, 6 axial points, 2 center points per axial, and =1.68. Data obtained from RSM on B-H relation of the matrix of the magnetic filter were subjected to the analysis of variance and analyzed using a second-order polynomial equation, which resulted in the optimized process conditions of 407 kA/m as external magnetic field strength, filter length of 0.02m and the porosity fraction factor of 0.67. Maximum magnetic intensity (B=0.85 Tesla [T]) was obtained at the optimized conditions in the matrix of the magnetic filter.