Simulation of the Data from Greif

Greif performed measurements on an experimental cyclone at various solids loadings and distributions and vortex tube immersion depths and diameters. Considerable attention was devoted to improving the limiting load at low to moderate levels of sohds loadings. For illustration purposes, one data set was selected for simulation herein. Its geometry and dimension are shown in Fig. 6.A.7. Physical property and flow data at test conditions follow. 

The Muschelknautz method provided the following results. As for the preceding example, the slope of the grade-efficiency curve was set equal to 5.0. 

The model s prediction of the classification portion of the cyclone s grade-efficiency curve (i.e., that excluding the solids loading effect) is shown in Fig. 6.A.8. Here, efficiencies are plotted as a function of the dimensionless particle ratio x/x o, where x is the particle diameter and X50 the cyclone s computed cut size. The model is seen to predict measurements reasonably well although the slope of the predicted s-shaped grade-efficiency curve (m = 5) is greater than that of the experimental data. 

Applying the model to the measured total separation curve, which includes the mass loading contribution, one obtains the results shown in Fig. 6.A.9. Here also, the model does a reasonably good job of predicting measured per- 

In summary, as we review the Muschelknautz model predictions presented in Sections 6.A.1 through 6.A.3, we observe that the model is capable of predicting actual performance reasonably well. This is especially encouraging 

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