Calculate the evolution in the wt% of the chemical species in the BOF charge, assuming that the injected oxygen only reacts with C. You may assume that the oxygen content of the pig iron remains constant. Set the oxygen absorption coefficient to 1 (100% utilization).

Use the data from Data Set 1. Assume that the bath remains at a constant temperature - i.e., the heat balance is not considered. Assume that the bath is at the initial pig-iron temperature (1300 ) and that the scrap metal is also charged at the pig-iron temperature. 

Output the Total Mass (kg) of the Bath, the Mass of the Scrap (kg), the temperature of the Bath (), the mass of Fe (kg), wt% Fe, the mass of C (kg), wt% C, the mass of Si (kg), wt% Si, the mass of Mn (kg) and wt% Mn as a function of time in you Excel Worksheet. Plot the variation in wt%C, wt%Si, wt%, Mn and Temperature (C) as a function of blow time. Use a time integration step size of 0.25 mins (15s). Additionally, output the time to reach 0.2wt%C and the total volume of O₂ reacted in Nm³ and compare it to the Empirical AMD data by calculating a % Error for each. 

 

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The following is the thermodynamic data that you will need. [C] 1wt%, Fe +[0] 1wt%, Fe CO(g) [1] [Si] 1wt%, Fe +2C01wt%. FeSiO2 (g) + [2C]1wt%, Fe DG 1=-22363.86-39.63 * T_K DG_4=-511703.2 + 289.9 * T_K Using the data provided for Empirical Data Set 1, develop a mass species balance model using Visual Basic that accounts for the oxidation of C and Si (you may ignore the oxidation of Fe and Mn). Be sure to state all of your assumptions for each of your sub-models in your Excel worksheet clearly The mass species balance should be able to predict the evolution of wt%C, wt%Si, wt%Fe and wt%Mn and temperature in the Bath as a function of time given an initial estimate of the hot metal temperature, the mass of hot metal, the composition of the hot metal, the mass of scrap and the composition of the scrap. The initial composition of the hot metal with respect to C is based on it being at saturation and is a function of the temperature and composition as described in the empirical equation given below. 1.28 + 0.00142 T(F) + 0.21 (wt%Mn) - 0.301(wt%Si) wt%C = The following is the thermodynamic data that you will need. [C] 1wt%, Fe +[0] 1wt%, Fe CO(g) [1] [Si] 1wt%, Fe +2C01wt%. FeSiO2 (g) + [2C]1wt%, Fe DG 1=-22363.86-39.63 * T_K DG_4=-511703.2 + 289.9 * T_K Using the data provided for Empirical Data Set 1, develop a mass species balance model using Visual Basic that accounts for the oxidation of C and Si (you may ignore the oxidation of Fe and Mn). Be sure to state all of your assumptions for each of your sub-models in your Excel worksheet clearly The mass species balance should be able to predict the evolution of wt%C, wt%Si, wt%Fe and wt%Mn and temperature in the Bath as a function of time given an initial estimate of the hot metal temperature, the mass of hot metal, the composition of the hot metal, the mass of scrap and the composition of the scrap. The initial composition of the hot metal with respect to C is based on it being at saturation and is a function of the temperature and composition as described in the empirical equation given below. 1.28 + 0.00142 T(F) + 0.21 (wt%Mn) - 0.301(wt%Si) wt%C =