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Predicting Droplet Size Distribution

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Course Credit: 0.15 CEU, 1.5 PDH

This presentation will discuss a modified two-parameter methodology in which the minimum droplet size that can be created from available energy along with the maximum droplet size that can survive in the flow are used to characterize the droplet size distribution. Evaluations of this methodology over a range of dispersion suggest that the approach can be universally applied to dispersion of liquid in gas, liquid in liquid, and gas in liquid.Increasing costs associated with separators – often in difficult, remote applications – drives the desire to improve separator selection and avoid over-sizing the device by improving confidence in separator performance predictions. Presented by Gene E. Kouba.

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 1 chapter

Course Chapters

  • 1Predicting Droplet Size Distribution - Chapter 1
    Media Type: Video

Credits

Earn credits by completing this course0.15 CEU credit1.5 PDH credits

Speakers

Gene Kouba