Catalytic Hydrogenation of Furan, 24 Factorial Design

The experiments were run with a view to determining how four experimental variables influence the yield in the catalytic hydrogenation of furan over a palladium catalyst. The variables were x2, the amount of palladium catalyst x2, the hydrogen pressure x3, the reaction temperature and x4, the stirring rate. The factorial design, 24, shown in Table 2 was used to fit a second-order intraction model to the yields obtained  

The model contains eleven parameters (constant term, four linear coefficients, six cross-product coefficients) and the design contains 16 experimental runs. With the assumption that interaction effects involving three or more factors have negligible influence on the yield, the residual sum of squares, RSS = I ef, would then give an estimate of the experimental error variance, s2 = RSS/(16 — 11), with five degrees of freedom, the estimate of s2 obtained in this way was used to compute 95% confidence limits of the estimated parameters. 

3 Significant Variables in a Wilgerodt-Kindler Reaction, Fractional Factorial 

The reaction of p-methyl acetophenone and morpholine with elemental sulfur in quinoline (solvent) was studied. [19] The objective was to determine which experimental variables have a significant influence on the yield. 

Five variables were considered x1 the amount of sulfur x2, the amount of morpholine x3, the reaction temperature x4, the particle size of sulfur, and x5, the stirring rate. 

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