Estimation of the critical velocity in pipeline flow of slurries

Turian, Raffi M.; Hsu, Feng-Lung; Ma, Tzu-Wang

doi:10.1016/0032-5910(87)80038-4

Cited by 96 publications

(104 citation statements)

References 13 publications

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“…Beside this model, Turian developed 2.34 many different models Yuan 1977, Turian et al 1987). Turian et al (1987) states that a theoretical model developed by Oroskar and Turian (1980) and empirical models by Turian et al (1987) have the best fit to the tested data. Oroskar and Turian (1980) reported that Equation (2.69) has a better overall fit with data than their theoretical model.…”

Section: 31mentioning

confidence: 99%

Hanford Waste Physical and Rheological Properties: Data and Gaps

Wells¹,

Kurath²,

Mahoney³

et al. 2011

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: 31mentioning

confidence: 99%

Hanford Waste Physical and Rheological Properties: Data and Gaps

Wells¹,

Kurath²,

Mahoney³

et al. 2011

103

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“…This simplification allows increased engineering flexibility for a slight decrease in correlation accuracy. For example, Turian et al (1987) presents a 37% absolute average percent deviation for the Durand and Condolios (1952) Gillies and Shook (1991) also presented a carrier-fluid concept where a criterion for a homogeneous carrier "vehicle" is established: material can be considered effectively homogeneous if it can pass through a 200-mesh sieve (i.e. 74 m opening).…”

Section: Critical Deposition Boundarymentioning

confidence: 99%

Deposition Velocities of Non-Newtonian Slurries in Pipelines: Complex Simulant Testing

Poloski¹,

Bonebrake²,

Casella³

et al. 2009

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“…However these models show an increasing F L value with the pipe diameter, which contradicts the numerous experimental data, showing a slight decrease. The models of Turian et al (1987) , Wasp et al (1970), Slatter (2004) andSouza Pinto et al (2014) show an increasing F L value with increasing particle diameter and a slight decrease with the pipe diameter. Jufin and Lopatin (1966) show an increase with the particle diameter and a slight decrease with the pipe diameter (power -1/6).…”

Section: Experimental Datamentioning

confidence: 94%

“…3 and Fig. 4 show the Limit Deposit Velocities of DHLLDV, Durand and Condolios (1952), Jufin and Lopatin (1966), Wasp et al (1970), Slatter (2004), Souza Pinto et al (2014), Hepy et al (2008), Gogus and Kokpinar (1993), Kokpinar and Gogus (2001), Berg (1998), Turian et al (1987) and Gillies (1993) for 2 pipe diameters. The curves of Hepy et al (2008), Gogus and Kokpinar (1993) and Kokpinar and Gogus (2001) show a maximum F L value for particles with a diameter near d = 0.5 mm.…”

Section: Experimental Datamentioning

confidence: 96%

“…Because there are numerous data and equations for the critical velocity (LSDV, LDV or MHGV), some equations based on physics, but most based on curve fitting, a selection is made of the equations and methods from literature. The literature analysed are from Wilson (1942), Durand and Condolios (1952), Newitt et al (1955), Jufin and Lopatin (1966), Zandi and Govatos (1967), Charles (1970), Graf et al (1970), Wilson and Judge (1976), Wasp et al (1977), Wilson and Judge (1977), Thomas (1979), Oroskar and Turian (1980), Parzonka et al (1981), Turian et al (1987), Davies (1987), Schiller and Herbich (1991), Gogus and Kokpinar (1993), Gillies (1993), Berg (1998), Kokpinar and Gogus (2001), Shook et al (2002), Wasp and Slatter (2004), Sanders et al (2004), Lahiri (2009), Poloski et al (2010) and Souza Pinto et al (2014.…”

Section: Introductionmentioning

confidence: 99%

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The Limit Deposit Velocity model, a new approach

Miedema

Ramsdell

2015

Journal of Hydrology and Hydromechanics

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Abstract:In slurry transport of settling slurries in Newtonian fluids, it is often stated that one should apply a line speed above a critical velocity, because blow this critical velocity there is the danger of plugging the line. There are many definitions and names for this critical velocity. It is referred to as the velocity where a bed starts sliding or the velocity above which there is no stationary bed or sliding bed. Others use the velocity where the hydraulic gradient is at a minimum, because of the minimum energy consumption. Most models from literature are one term one equation models, based on the idea that the critical velocity can be explained that way.Here the following definition is used: The critical velocity is the line speed below which there may be either a stationary bed or a sliding bed, depending on the particle diameter and the pipe diameter, but above which no bed (stationary or sliding) exists, the Limit Deposit Velocity (LDV). The way of determining the LDV depends on the particle size, where 5 regions are distinguished.These regions for sand and gravel are roughly; very small particles up to 0.014-0.040 mm (d < δ v ), small particles from δ v -0.2 mm, medium particles in a transition region from 0.2-2.00 mm, large particles > 2 mm and very large particles > 0.015·D p . The lower limit of the LDV is the transition between a sliding bed and heterogeneous transport. The new model is partly based on physics and correlates well with experiments from literature.

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Estimation of the critical velocity in pipeline flow of slurries

Cited by 96 publications

References 13 publications

Hanford Waste Physical and Rheological Properties: Data and Gaps

Hanford Waste Physical and Rheological Properties: Data and Gaps

Deposition Velocities of Non-Newtonian Slurries in Pipelines: Complex Simulant Testing

The Limit Deposit Velocity model, a new approach

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