A model of solids friction factor for fluidized dense phase pneumatic conveying

Behera, Niranjana; Agarwal, Vijay K.; Jones, Mark

doi:10.1016/j.powtec.2015.07.010

Cited by 19 publications

(11 citation statements)

References 5 publications

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“…(g) Behera et al [36] correlation Using Equations ( 4) and ( 5), the Behera et al [36] correlation can be written as 5.9 (DP fs + P o ) 2.35 (29) where k 47 = 364.4r 0.01 s , k 57 = g 1. 18…”

Section: Modified Equations Of Pressure Drop Using Different Correlat...mentioning

confidence: 99%

“…The trends of pressure drop variation widely vary among them are different. Using the Behera et al [36] correlation, the pressure drop decreases at a faster rate for the pipe diameters between 50 and 75 mm and then it decreases slowly between 75 and 200 mm. For the Jones and Williams [27] correlation, Weber [25] and Setia et al 1 [35] correlations, the pressure drop remains invariant with change in pipe diameter.…”

Section: Diameter Scale-up Analysismentioning

confidence: 99%

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Review and analysis of solids friction factor correlations in fluidized dense phase conveying

Shijo

Behera

2020

Tribology - Materials, Surfaces & Interfaces

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Few researchers have presented solids friction factor correlations for the fluidized dense phase conveying of fine particles or powders. Pressure drop for conveying can be predicted using these correlations. These correlations predict the pressure drop with minimum error margin for a definite pipeline configuration or for some specific types of conveying materials. Few researchers have applied their correlations for different pipeline configurations (of different pipeline lengths or diameters) or different conveying materials to predict the pressure drop. In this paper, different solids friction factor correlations for the fluidized dense phase conveying have been considered which are available in the literature and the behaviour of these correlations have been studied under length scale-up or diameter scale-up conditions. It has been observed that only few correlations exhibit natural pressure drop variation with change in pipeline length or pipeline diameter.

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Section: Modified Equations Of Pressure Drop Using Different Correlat...mentioning

confidence: 99%

Section: Diameter Scale-up Analysismentioning

confidence: 99%

Review and analysis of solids friction factor correlations in fluidized dense phase conveying

Shijo

Behera

2020

Tribology - Materials, Surfaces & Interfaces

Self Cite

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“…Thus, the required total pressure drop for conveying will result from gas-wall, gasparticle, particle-particle, and particle-wall friction. Simply, it is understood that the total pressure drop in such types of cases is the sum of pressure drop caused by gases and solids [2].…”

Section: Introductionmentioning

confidence: 99%

Hydrodynamic Studies during Gas‐Solid Conveying in a Vertically Upward Converging Riser Tube^‡

et al. 2022

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Experimental and theoretical investigations on hydrodynamics for gas‐solid particles flow were carried out in a vertical upward converging pneumatic conveying system. One‐dimensional mathematical modeling and simulation were done using the FORTRAN‐95 program. The influence of convergence geometry on the hydrodynamic parameters like particle velocity, gas‐particle slip velocity, pressure drop, and particle Reynolds number (Rep) along the riser were studied. Experiments were conducted using the dilute phase mode with three types of granular cereal seeds of different sizes. Some significant differences in all hydrodynamic parameter profiles along the riser were observed between converging and uniform risers. Enhancement of Rep in the converging riser implies a higher gas‐solid transfer coefficient.

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“…Setia et al (2016) and Setia et al (2017) included volumetric loading ratio and velocity ratio in the correlations which are also in terms of flow parameters only. Behera et al (2015) used particle density-to-gas density ratio in addition to solids loading ratio and gas Froude number. Hence, the correlation is a combination of both material property (i.e.…”

Section: Introductionmentioning

confidence: 99%

“…In the scaleup conditions (63-mm diameter pipeline and 221-m equivalent pipeline length), predicted pressure drop was within the acceptable error margin for only one data out of two experimental data. Behera et al (2015) modelled the solid friction factor in terms of solids loading ratio, inlet gas Froude number and particle density to gas density ratio using the experimental data of fly ash for the section of 2-m long of the 173-m long pipeline and 53-mm pipe diameter. Predicted pressure drop was within an error margin of 625% when compared to the experimental data for the setup of 173 long pipeline.…”

Section: Introductionmentioning

confidence: 99%

Modelling and analysis of flow of powders through long pipelines

Shijo

Behera

2020

WJE

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Purpose The purpose of this paper is to focus on predicting the pressure drop in fluidized dense phase pneumatic conveying of fine particles through pipelines by modelling the solids friction factor in terms of non-dimensional parameters using experimental data of definite pipeline configuration. Finally, the model is to be tested for a different pipeline configuration. Design/methodology/approach Solids friction factor has been expressed in terms of certain non-dimensional parameters such as density ratio, solids loading ratio and mean particle diameter to pipe diameter ratio, and a certain number of coefficients and exponents. Experimental data of five conveying materials (two types of fly ash, two types of alumina and one type of cement meal) for a pipeline configuration of diameter 53 mm and length 173 m and another conveying material EPS dust for two pipeline configurations (69-mm diameter, 168-m long; 105-mm diameter, 168-m long) have been used to calculate the unknown coefficients or exponents of the mathematical model for solids friction factor. Findings The developed model gives the best results in predicting the pressure drop for the pipelines that are less than 173-m long, but the model shows a large error for the pipelines more than 173-m long. Research limitations/implications Current research will be helpful for the researchers to model the process of pneumatic conveying through long distances. Practical implications The method will be helpful in conveying powder materials through long distances in cement or brick industry, alumina industry. Social implications Fly ash piles over at the nearby places of thermal power plants. Pneumatic conveying is the best method for transporting the fly ash from the location of power plants to the nearby brick industries or cement industries. Originality/value Solid friction factor has been presented in terms of four non-dimensional parameters and evaluated the accuracy in predicting the pressure drop for two different pipeline configurations.

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A model of solids friction factor for fluidized dense phase pneumatic conveying

Cited by 19 publications

References 5 publications

Review and analysis of solids friction factor correlations in fluidized dense phase conveying

Review and analysis of solids friction factor correlations in fluidized dense phase conveying

Hydrodynamic Studies during Gas‐Solid Conveying in a Vertically Upward Converging Riser Tube^‡

Modelling and analysis of flow of powders through long pipelines

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A model of solids friction factor for fluidized dense phase pneumatic conveying

Cited by 19 publications

References 5 publications

Review and analysis of solids friction factor correlations in fluidized dense phase conveying

Review and analysis of solids friction factor correlations in fluidized dense phase conveying

Hydrodynamic Studies during Gas‐Solid Conveying in a Vertically Upward Converging Riser Tube‡

Modelling and analysis of flow of powders through long pipelines

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Product

Resources

About

Hydrodynamic Studies during Gas‐Solid Conveying in a Vertically Upward Converging Riser Tube^‡