Critical Flow Velocity in Slurry Transporting Horizontal Pipelines

Kökpinar, Mehmet Ali; Göğüş, Mustafa

doi:10.1061/(asce)0733-9429(2001)127:9(763)

Cited by 55 publications

(39 citation statements)

References 9 publications

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“…The model of Gillies (1993) tries to quantify the Durand and Condolios (1952) data points (the incorrect ones) but does not show any dependency on the pipe diameter for the F L Froude number. The increase of the F L value with the pipe diameter of the Hepy et al (2008), Gogus and Kokpinar (1993) and Kokpinar and Gogus (2001) With a strong relation with the particle diameter and a weak relation for the pipe diameter, the pipe diameter will follow the particle diameter. Another reason may be the fact that they used pipe diameters up to 0.1524 m (6 inch) and the smaller the pipe diameter the more probable the occurrence of a sliding bed and other limiting conditions, due to the larger hydraulic gradient helping the bed to start sliding.…”

Section: Experimental Datamentioning

confidence: 92%

“…The relative submerged density R sd : The relation between the LDV and the relative submerged density is not very clear, however the data shown by Kokpinar and Gogus (2001) and the conclusions of Lahiri (2009) show that the F L value decreases with increasing solids density and thus relative submerged density R sd to a power of -0.2 to -0.4.…”

Section: Conclusion Literaturementioning

confidence: 97%

“…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. However these models show an increasing F L value with the pipe diameter, which contradicts the numerous experimental data, showing a slight decrease.…”

Section: Experimental Datamentioning

confidence: 99%

“…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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Section: Experimental Datamentioning

confidence: 92%

Section: Conclusion Literaturementioning

confidence: 97%

Section: Experimental Datamentioning

confidence: 99%

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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“…The database contains 772 experimental data points collected from 12 different papers (Ambrose, 1952;Arevalo, 2010;Craven, 1952;Delavan, 2012;Goedde, 1978;Graf et al, 1970;Hayden and Stelson, 1978;Hill, 2011;Kenchington, 1976;Kokpinar and Gogus, 2001;Oroskar, 1979;Wicks, 1971). The experimental setup and procedure used by each investigator can be found in Shin (2013).…”

Section: Experimental Databasementioning

confidence: 99%

Data clustering for model-prediction discrepancy reduction – A case study of solids transport in oil/gas pipelines

Shin

Subramani

2015

Computers & Chemical Engineering

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Solids transport models comparison and fine‐tuning for horizontal, low concentration flow in single‐phase carrier fluid

et al. 2013

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We determined and fine‐tuned the solids transport models appropriate for predicting the single‐phase carrier fluid velocity to transport solid particles in conduits for horizontal, low concentration flow. A database with 538 experimental data points was compiled. A literature review was performed to determine the data ranges, forces, and mechanisms used to develop 44 models, and their velocity predictions were compared against the database using statistics. Using the dimensionless forms of the models and the data, the model parameters were adjusted to improve their accuracy and identify the dominant forces. At low concentrations: for liquid/solid flow from a bed of solids and gas/solid flow from the bottom of pipelines, the particle weight, and inertial and viscous forces dominate; for gas/solid flow from a bed of solids, the particle weight, and inertial, viscous, and adhesive forces play a role; and gaps exist in the data for large‐diameter pipes and high‐density gases. © 2013 American Institute of Chemical Engineers AIChE J, 60: 76–122, 2014

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Critical Flow Velocity in Slurry Transporting Horizontal Pipelines

Cited by 55 publications

References 9 publications

The Limit Deposit Velocity model, a new approach

The Limit Deposit Velocity model, a new approach

Data clustering for model-prediction discrepancy reduction – A case study of solids transport in oil/gas pipelines

Solids transport models comparison and fine‐tuning for horizontal, low concentration flow in single‐phase carrier fluid

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