Modeling and optimization of Multi-Gravity Separator to produce celestite concentrate

Abstract In this study, a three-level Box–Behnken factorial design combined with response surface methodology (RSM) for modeling and optimizing of some operations parameter of Multi-Gravity Separator (MGS) to produce a celestite concentrate was developed. The three significant operational parameters of MGS, which are drum speed, tilt angle and shake amplitude, were varied and the results evaluated with the Box–Behnken factorial design. Second-order response functions were produced for the celestite grade and recovery of the concentrate. Taking advantage of the quadratic programming, a drum speed of 150 rpm, tilt angle of 6° and shake amplitude of 20 mm have been determined as optimum levels to achieve the maximum SrSO 4 concentrate grade of 96.91%, whereas the maximum level of grade was 95.69% in the tests conducted or predicted. In the same way, a drum speed of 250 rpm, tilt angle of 2° and shake amplitude of 10 mm has been determined as optimum levels to achieve the maximum recovery of 98.35%, whereas it was 95.83% in the tests conducted or predicted.

[1]  Y. Chang,et al.  Effect of some operational extrusion parameters on the constituents of orange pulp , 2005 .

[2]  M. Atalay,et al.  Beneficiation of bastnaesite by a multi-gravity separator , 2000 .

[3]  V. Gunaraj,et al.  Application of response surface methodology for predicting weld bead quality in submerged arc welding of pipes , 1999 .

[4]  M. Korn,et al.  Preliminary evaluation of the cadmium concentration in seawater of the Salvador City, Brazil , 2004 .

[5]  N. Aslan,et al.  Application of Box-Behnken design and response surface methodology for modeling of some Turkish coals , 2007 .

[6]  Peter Baláž,et al.  Direct mechanochemical conversion of celestite to SrCO3 , 2006 .

[7]  M. Abad,et al.  Extraction and quantification of antioxidants from low-density polyethylene by microwave energy and liquid chromatography , 2004 .

[8]  R. Santelli,et al.  Focussed microwave-assisted sample preparation: total phenol determination in petroleum refinery effluents by flow injection spectrophotometry , 2004 .

[9]  Timothy J. Napier-Munn,et al.  Application of central composite rotatable design to modelling the effect of some operating variables on the performance of the three-product cyclone , 2005 .

[10]  İbrahim Sönmez,et al.  Application of the Box-Wilson experimental design method for the spherical oil agglomeration of coal , 2006 .

[11]  Johanna Smeyers-Verbeke,et al.  Handbook of Chemometrics and Qualimetrics: Part A , 1997 .

[12]  F. Vrečer,et al.  Application of experimental design methodology in development and optimization of drug release method. , 2005, International journal of pharmaceutics.

[13]  A. Martı́nez-L,et al.  Study of celestite flotation efficiency using sodium dodecyl sulfonate collector: factorial experiment and statistical analysis of data , 2003 .

[14]  Z. Xiao,et al.  Experimental designs for precise parameter estimation for non-linear models , 2004 .

[15]  Dachamir Hotza,et al.  Using statistical techniques to model the flexural strength of dried triaxial ceramic bodies , 2004 .

[16]  Cristina M Quintella,et al.  Doehlert matrix: a chemometric tool for analytical chemistry-review. , 2004, Talanta.

[17]  Sergio Luis Costa Ferreira,et al.  Application of Box–Behnken design in the optimisation of an on-line pre-concentration system using knotted reactor for cadmium determination by flame atomic absorption spectrometry , 2005 .

[18]  Jae-Seob Kwak,et al.  Application of Taguchi and response surface methodologies for geometric error in surface grinding process , 2005 .