Pulse Jet Mixing Tests With Noncohesive Solids

Meyer, Philip D.; Bamberger, Judith Ann; Enderlin, Carl W.; Fort, James A.; Wells, Beric E.; Sundaram, S. K.; Scott, Paul A.; Minette, Michael J.; Smith, Gary L.; Burns, Carolyn A.; Greenwood, Margaret S.; Morgen, Gerald P.; Baer, Ellen BK; Snyder, Stephen; White, M.K.; Piepel, Gregory F.; Amidan, Brett G.; Heredia-Langner, Alejandro

doi:10.2172/1036077

Cited by 9 publications

(27 citation statements)

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“…Note that the solids volume fraction is a process parameter, not a waste property, and that  S is a relative solids volume fraction selected by Meyer et al (2009). Although the liquid density has an impact on the magnitude of the critical suspension velocity, the liquid density does not usually change significantly from one waste to another (compared to some other waste properties).…”

Section: 223mentioning

confidence: 99%

“…Onishi (2008) used the same scaled model data reported in Meyer et al (2009) to derive the following correlation of the cloud height. …”

Section: Example Cloud Height Calculation Modelsmentioning

confidence: 99%

“…With these assumptions, Meyer et al (2009) derived the following suspended solids concentration correlation at the tank bottom, C 0 :…”

Section: Examples Of Suspended Solids Concentration Calculation Modelsmentioning

confidence: 99%

“…For simulants used in PJM mixing analysis, Meyer et al (2009) applied the unhindered particle settling velocity calculation of Camenen (2007), provided in Section 2.0, to the Case 3 PSDD from . Application of the Camenen (2007) equation produced a cumulative volume-based probability of the unhindered settling velocity of the particulate comprising the PSDD.…”

Section: Psdd Comparisonmentioning

confidence: 99%

“…An approach following Meyer et al (2009) is used to provide a graphical means of volume-based probabilistic comparison of the PSDDs (as opposed to the size, density, and volume fraction-tabulated form presented above). All settling velocities are calculated for the PSDD particulate in water (1 g/mL, 1 cP).…”

Section: Psdd Comparisonmentioning

confidence: 99%

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Hanford Waste Physical and Rheological Properties: Data and Gaps

Wells¹,

Kurath²,

Mahoney³

et al. 2011

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103

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Executive SummaryThe Hanford Site in Washington State manages 177 underground storage tanks containing approximately 250,000 m 3 of waste generated during past defense reprocessing and waste management operations. These tanks contain a mixture of sludge, saltcake and supernatant liquids. The insoluble sludge fraction of the waste consists of metal oxides and hydroxides and contains the bulk of many radionuclides such as the transuranic components and 90 Sr. The saltcake, generated by extensive evaporation of aqueous solutions, consists primarily of dried sodium salts. The supernates consist of concentrated (5-15 M) aqueous solutions of sodium and potassium salts. The 177 storage tanks include 149 single-shell tanks (SSTs) and 28 double-shell tanks (DSTs).Ultimately the wastes need to be retrieved from the tanks for treatment and disposal. The SSTs contain minimal amounts of liquid wastes, and the Tank Operations Contractor is continuing a program of moving solid wastes from SSTs to interim storage in the DSTs. The Hanford DST system provides the staging location for waste feed delivery to the Department of Energy (DOE) Office of River Protection's (ORP) Hanford Tank Waste Treatment and Immobilization Plant (WTP). The WTP is being designed and constructed to pretreat and then vitrify a large portion of the wastes in Hanford's 177 underground waste storage tanks.The retrieval, transport, treatment and disposal operations involve the handling of a wide range of slurries. Solids in the slurry have a wide range of particle size, density and chemical characteristics. Depending on the solids concentration the slurries may exhibit a Newtonian or a non-Newtonian rheology.The extent of knowledge of the physical and rheological properties is a key component to the success of the design and implementation of the waste processing facilities. These properties are used in engineering calculations in facility designs. Knowledge of the waste properties is also necessary for the development and fabrication of simulants that are used in testing at various scales. The expense and hazards associated with obtaining and using actual wastes dictates that simulants be used at many stages in the testing and scale-up of process equipment. The results presented in this report should be useful for estimating process and equipment performance and provide a technical basis for development of simulants for testing.The purpose of this document is to provide an updated summary of the Hanford waste characterization data pertinent to safe storage, retrieval, transport and processing operations for both the tank farms and the WTP and thereby identify gaps in understanding and data. Important waste parameters for these operations are identified by examining examples of relevant mathematical models of selected phenomena including: The data sets in (UDS composition and particle density, UDS primary particle size and shape, UDS particle size distributions [PSDs], and estimated particle size and density distributions [PSDDs]) and Poloski et al. (2007) ...

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Section: 223mentioning

confidence: 99%

“…Onishi (2008) used the same scaled model data reported in Meyer et al (2009) to derive the following correlation of the cloud height. …”

Section: Example Cloud Height Calculation Modelsmentioning

confidence: 99%

“…With these assumptions, Meyer et al (2009) derived the following suspended solids concentration correlation at the tank bottom, C 0 :…”

Section: Examples Of Suspended Solids Concentration Calculation Modelsmentioning

confidence: 99%

Section: Psdd Comparisonmentioning

confidence: 99%

Section: Psdd Comparisonmentioning