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Activity Number:
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313
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Type:
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Contributed
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Date/Time:
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Tuesday, August 4, 2009 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Physical and Engineering Sciences
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| Abstract - #304037 |
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Title:
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Modeling Approaches Applied to Pulse Jet Mixing Data - Part 1
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Author(s):
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Greg Piepel*+ and Brett Amidan and Alejandro Heredia Langner and Perry Meyer and Beric Wells and James Fort and Judith Bamberger and William Kuhn
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Companies:
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Pacific Northwest National Laboratory and Pacific Northwest National Laboratory and Pacific Northwest National Laboratory and Pacific Northwest National Laboratory and Pacific Northwest National Laboratory and Pacific Northwest National Laboratory and Pacific Northwest National Laboratory and Pacific Northwest National Laboratory
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Address:
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P.O. Box 999, Richland, WA, 99352,
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Keywords:
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Physical models ; Nondimensional variables ; Spurious correlation ; Semi-empirical models ; Multiple regression
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Abstract:
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Pulse jet mixing tests were conducted to support the design of mixing systems for the Hanford Waste Treatment and Immobilization Plant. Tests were conducted at three geometric scales using multiple noncohesive simulants and levels of possibly influential factors. Additional background information is presented. Three approaches were used to develop models for predicting two response variables (critical-suspension velocity and cloud height). A physical approach based on hydrodynamic behavior was used, but this approach can yield models with spurious correlation. Two semi-empirical (SE) models were developed by generalizing the form of the physical model using dimensional and/or nondimensional (ND) variables. Part 2 presents the results of fitting and comparing the physical and two SE models for each response. It also discusses why the SE models based on ND variables are recommended.
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