Particulate Science and Technology, Vol.31, No.2, 181-185, 2013
Performance Prediction of the Magnetic Packed Bed Using Response Surface Methodology
The 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.