APPLICATION OF SIMULATED ANNEALING ALGORITHM FOR THE MAGNETIC FILTRATION PROCESS

The 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.

Keywords:

Magnetic filtration simulated annealing, optimization.,

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[1] Svoboda, J. (2004), Magnetic techniques for the treatment of materials, Kluwer Acdemic Publishers, USA.
[2] Sandulyak A.V. (1988) Magnetic filtration cleaning liquids and gases Chemics ed. Moscow 136 p (in Russian).
[3] Sandulyak A.V. (1984) Purification of liquids in a magneticfield, Lvov: Higher School Publishing House at LvovUniversity, 167 p. (in Russian).
[4] Sandulyak A, Sandulyak A, Ershova V, Polismakova M, Sandulyak D (2017) Use of the magnetic test-filter for magnetic control of ferroimpurities of fuels, oils, and other liquids (phenomenological and physical models), Journal of Magnetism and Magnetic Materials, 426, 714–720.
[5] Sandulyak D.A., Snedkov A.B., Sandulyak A.A., Sandulyak A.V., Ablaeva A.E., Functional Properties of Granular and Quasi-granular Ferromagnetic Material (Filter-matrix) in Magnetophoresis Technology. Processing of the 4th International Conference on Materials Engineering for Advanced Technologies (ICMEAT), 2015, 663-665.
[6] Abbasov, T. (2007), Magnetic filtration with magnetized granular beds: Basic principles and filter performance, China Particuology, (5) 71–83.
[7] Yıldız Z., Abbasov T., Sarımeşeli, A. (2010) Effect of Some Process Parameters on the Separation of the Dispersed Ferrous Impurities Using Cycled Electromagnetic Filter, J Dispersion Science Technology, 31:8, 1072-1076.
[8] Gillet, G., Diot, F., Lenoir, M. (1999), Removal of heavy metal ions by superconducting magnetic separation, Separation Science and Technology, 34 (10), 2023-2037.
[9] Franzreb, M., Holl, W. H. (2000), Phosphate removal by high-gradient magnetic separation using permanent magnets, IEEE Transactions on Magnetics, 10, 923-926.
[10] Kirkpatrick S. (1983), Gelatt C. D.; Vecchi M. P. , Science, New Series, 220: 4598., 671-680.
[11] Elmas, Ç. (2007), Artificial Intelligence Applications, Seckin Publishers, Ankara.
[12] Karaboğa D., (2004), Yapay Zeka Optimizasyon Algoritmaları, Atlas Yayıncılık, İstanbul.
[13] Uçaner M. E., Özdemir O. N., (2002), Chlorination Optimization in Drinking Water Networks with Genetic Algorithms, Gazi Univ. Eng. Fac. J., 17:4, 157-170.
[14] Güden H., Vakvak B., Özkan B. E., Altınparmak F., Dengiz B., (2005), Simulation Optimization with General Purpose Search Algorithms, Journal of Industrial Engineering, 16:1, 2-15.
[15] Yiğit V., Türkbey O., (2003), Approach to Facility Layout Problems with Heuristic Methods, Gazi Univ. Eng. Arc. Fac. J, 18:4, 45-56.

Sigma Mühendislik ve Fen Bilimleri Dergisi-Cover

ISSN: 1304-7191
Yayın Aralığı: Yılda 4 Sayı
Yayıncı: Yıldız Teknik Üniversitesi

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