Pressure Drop Prediction by Correlation

Interpolation of actual experimental data circumvents the system-atic correlation limitations, gives reliable and accurate pressure drop prediction, is difficult to computerize, and requires that suitable interpolation charts eire available. This section deals with predicting pressure drop by correlation. Section 8.2.9 describes interpolating experimental pressure drop data. 

Neither correlation nor interpolation can overcome the limitations inherent in pressure drop data (Sec. 8.2.5). It is therefore essential 

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Strigle (15) and Kister and Gill (60) compared predictions from the latest version of the Eckert correlation (Fig. 8.19a and 6) to thousands of random packing pressure drop measurements. The Eckert correlation was shown to give good predictions for most pressure drop data (15,60). It generally works well for the air-water system for flow parameters as low as 0.01 and as high as 1 (60). For nonaqueous aye-terns, it works weU for flow parameters of 0.03 to 0.3 (typicad of spheric distillation). 

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