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Q1: Wen and Tu published an article about ethanol, 2-butanone, and 2,2,4-trimethylpentane at 101.3kPa in 2007. Find that paper and give a full citation. We

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Q1: Wen and Tu published an article about ethanol, 2-butanone, and 2,2,4-trimethylpentane at 101.3kPa in 2007. Find that paper and give a full citation. We will be using data from different parts of this paper. Stage 2: Q2: Extract the experimental data from Table 2 and get that into Excel. This will be the base data we use for this entire homework. Answer the following questions as you do this part of the individual HW using this data: a) Is there an azeotrope in this binary experimental data. If so, what composition, temperature \& pressure does it occur at? b) The vapor pressure equations are of an unusual form in the paper. Test them out and see if they give results that make sense. You can use their data to do this by considering the end points of concentration. Do their vapor pressure equations work? c) Compute the g's of both substances using modified Raoult's law, their x and y data, and their vapor pressure equations. Did they compute those correctly? If not, what would you have done differently? Activity Coefficient Models: Q3: a) Do a plot to obtain the Two Parameter Margules equation constants and report those values, including listing units. b) Do a different plot to obtain the van Laar equation constants and report those values. Hint: Linearization has seemed to work well for us to be able to get slope and intercepts that are related to the constants. Stage 3: Two Parameter Margules Equation Testing Q4: i) Use the constants you found in Stage 2 part e to predict the Txy diagram at the same pressure of the experiment. Use the objective function to determine if the fit is good. ii) Improve the fit by minimizing the objective function and changing the constants and report the constants and objective function value Van Laar Equation Testing Q5: i) Use the constants you found in Stage 2 part f to predict the Txy diagram again at the same pressure. Use an objective function to determine if the fit is good

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