Regeneration data

As we saw in the last chapter, by discarding the noise eigenvectors, we are able to remove a portion of the noise from our data. We have called the data that results after the noise removal the regenerated data. When we perform principal component regression, there is not really a separate, explicit data regeneration step. By operating with the new coordinate system, we are automatically regenerating the data without the noise. 

TABLE III. Cu Exchange and Regeneration Data for As Received Eastgate, NV Eronite ... 

FIGURE 5.16 Fluidized bed reactor with incorporated catalyst regeneration. (Data from Chen, N.C., Process Reactor Design, AUyn and Bacon, Boston, 1983.)... 

The utility of the master curves presented in Chapters 4 and 5 is obvious in the sense that the individual curves for any grade of polymer at any temperature of interest can be merely readout and replotted by knowing the appropriate MFI value. However, the easier method is to use equations which fit the master curve and regenerate data by mere substitution of the MFI value. In order to do this, rheological models have been suggested in Chapter 6. 

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