Font Size: a A A

Study On Mistocene Multidimensional Approximation Of Slag - Metallographic Equilibrium In Vanadium Extraction From Hot Metal

Posted on:2015-01-28Degree:MasterType:Thesis
Country:ChinaCandidate:Y Y LiFull Text:PDF
GTID:2271330431976543Subject:Iron and steel metallurgy
Abstract/Summary:PDF Full Text Request
The physical and chemical properties of metallurgical melt can be of guiding significance to both design of metallurgy process and production practice. In this paper, Molecular Interaction Volume Model(MIVM) and Pseudo-Multicomponent Approach method was applied to predict the phase equilibria between vanadium slag and liquid iron in the process of matter converting. Enrich the thermodynamics data of V-Ti resources metallurgical process, provide a theoretical basis for production practice.Component activities of CaO-SiO2and FeO-SiO2systems with abundant experimental data have been calculated by the phase diagram using Kuo-chih Chou formula, the results show that the calculated values are in agreement with experimental data. Then use the method to calculate the activities of Al2O3-MgO, Al2O3-FeO, FeO-V2O3,and V2O3-SiO2, which systems are lack of thermodynamic data. Preparing the data for predicting the thermodynamic properties of multicomponent slag system by MIVM.Based on the structural characteristics of FexC cluster formation in carbon-bearing liquid iron-based alloys, the Pseudo-Multicomponent Approach method of MIVM and Wagner Formula was applied to predict the Mn component activity of Fe-C-Mn system and C, Si component activities of Fe-C-Si system. And compared with the experimental data, the average relative errors are4.4%,17%, and13%;58%(omitting the second-order terms),9.0%, and27%, respectively. The C, and Si component activities of Fe-C-V system are predicted by two thermodynamics models, and the average relative errors between eachother are3.9%and24%. The results show that using the Pseudo-Multicomponent Approach method of MIVM to predict the component activity of carbon-bearing liquid iron-based alloys is good.Based on the actual data in production, MIVM is used to predict the C, and V component activities and conversion temperatures of selective oxidation of C and V in Fe-C-V-Si system, and compared with the experimental data, the average relative error are24%,7.6%and0.9%, respectively. After that, using the model to estimate the conversion temperatures based on the chemical compositions of vanadium- bearing hot metal in PZH Steel, the estimation is in reasonable agreement with production experience. Finally, construct the relation with concentration and temperature by multiple linear regression method:TV-C=-37.55wC[%]+67394.55wV[%]-182.64wSi[%]-160355.40wTi[%]-0.157+1963.91The component activities are predicted by pseudo-multicomponent approach method of MIVM in9multicomponent oxide systems, the average relative error and average standard deviation are11%and±0.0405respectively, comparing with the results of the experiment. It shows that the calculated values are in good accordance with experimental data. MIVM could be applied for predicting the thermodynamic properties of vanadium-bearing slag system FeO-SiO2-V2O3, and compared with the calculated results of coexistence theory model. The activities of FeO are in good agreement, the average relative error is3.9%; but the other two components are a certain deviation. In analysis, pointed out that the thermodynamic properties predicted by MIVM have a close relationship with binary system, the accuracy of binary phase diagram determines the accuracy of the results. In discussion of the rules of phase equilibrium, the concentration range of remaining vanadium in melted iron calculated by two model are1.83×10-5~3.77×10-5, and3.34×10-6~1.29×10-5; the distribution constant range of vanadium between slag and liquid iron are1.16X1O4~2.38×1O4, and1.22×104~2.77X104, respectively. The oxidation reaction of vanadium is thoroughly...
Keywords/Search Tags:activity, thermodynamic model, vanadium-bearing hot metal, vanadium-bearing slag system, phase equilibria
PDF Full Text Request
Related items