In production of magnesium by vacuum silicothermic reduction of calcined dolomite, Pidgeon process, experimental parameters such as temperature, time, density of briquettes and the ratio of stoichiometric requirement of silicon can be employed to control reduction efficiency and silicon efficiency. To model the effects of these parameters on reduction process, a basic statistical approach was utilized. Experimental data are inputs to the model. What about response of The model was compared with actual reduction data, in which temperature, time, density of briquettes and the ratio of stoichiometric requirement for reduction, were varied. A statistical "design of experiments" approach was undertaken in process experimentation and the optimium conditions of Pidgeon process were determined
khayati,G R , Ataie,A , Heshmati Manesh,S and shaibani,S . (2010). Optimizing Vacuum Silicothermic Reduction of Calcined Dolomite. (e27188). Journal Of Metallurgical and Materials Engineering, 21(1), e27188 doi: 10.22067/ma.v21i1.2422
MLA
khayati,G R , , Ataie,A , , Heshmati Manesh,S , and shaibani,S . "Optimizing Vacuum Silicothermic Reduction of Calcined Dolomite" .e27188 , Journal Of Metallurgical and Materials Engineering, 21, 1, 2010, e27188. doi: 10.22067/ma.v21i1.2422
HARVARD
khayati G R, Ataie A, Heshmati Manesh S, shaibani S. (2010). 'Optimizing Vacuum Silicothermic Reduction of Calcined Dolomite', Journal Of Metallurgical and Materials Engineering, 21(1), e27188. doi: 10.22067/ma.v21i1.2422
CHICAGO
G R khayati, A Ataie, S Heshmati Manesh and S shaibani, "Optimizing Vacuum Silicothermic Reduction of Calcined Dolomite," Journal Of Metallurgical and Materials Engineering, 21 1 (2010): e27188, doi: 10.22067/ma.v21i1.2422
VANCOUVER
khayati G R, Ataie A, Heshmati Manesh S, shaibani S. Optimizing Vacuum Silicothermic Reduction of Calcined Dolomite. Journal Of Metallurgical and Materials Engineering. 2010;21(1):e27188 (In Persian). doi: 10.22067/ma.v21i1.2422
