Research Article

CFD MODELING OF SLURRY PIPELINE AT DIFFERENT PRANDTL NUMBERS

Volume: 7 Number: 4 May 1, 2021
  • Om Parkash *
  • Arvind Kumar
  • Basant Sikarwar
EN

CFD MODELING OF SLURRY PIPELINE AT DIFFERENT PRANDTL NUMBERS

Abstract

The present work shows the slurry flow characteristics of glass beads having density 2470 kg/m3 at different Prandtl number through a horizontal pipeline. The simulation is conducted by Eulerian two-phase model using RNG k-ε turbulence closure in available commercial software ANSYS FLUENT. The transportation of solid particulates has the settling behaviour in the slurry pipeline and that leads to the sedimentation and blockage of the pipeline resulting more power and pressure drop in the pipeline. Therefore, it is important to know the transport capability of the solid particulates at different Prandtl fluids to minimise the pressure loss. The fluid properties at four Prandtl numbers i.e. 1.34, 2.14, 3.42 and 5.83 is used to carry the solid concentration ranges from 30-50 % (by volume) at mean flow-velocity ranging from 3 to 5 ms-1 . The obtained computational results are validated with the published data in the literature. The results show that the pressure-drop rises with escalation in flow velocity and solid concentration at all Prandtl number. It is found that the suspension stability enhancement is considerable for lower range of Prandtl number and decreases for higher range of Prandtl number. Finally, glass beads concentration contours, velocity contours, concentration profile, velocity profiles and pressure drop are predicted to understand the slurry flow for chosen Prandtl numbers.

Keywords

References

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Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Publication Date

May 1, 2021

Submission Date

April 28, 2019

Acceptance Date

July 26, 2019

Published in Issue

Year 2021 Volume: 7 Number: 4

APA
Parkash, O., Kumar, A., & Sikarwar, B. (2021). CFD MODELING OF SLURRY PIPELINE AT DIFFERENT PRANDTL NUMBERS. Journal of Thermal Engineering, 7(4), 951-969. https://doi.org/10.18186/thermal.930932
AMA
1.Parkash O, Kumar A, Sikarwar B. CFD MODELING OF SLURRY PIPELINE AT DIFFERENT PRANDTL NUMBERS. Journal of Thermal Engineering. 2021;7(4):951-969. doi:10.18186/thermal.930932
Chicago
Parkash, Om, Arvind Kumar, and Basant Sikarwar. 2021. “CFD MODELING OF SLURRY PIPELINE AT DIFFERENT PRANDTL NUMBERS”. Journal of Thermal Engineering 7 (4): 951-69. https://doi.org/10.18186/thermal.930932.
EndNote
Parkash O, Kumar A, Sikarwar B (May 1, 2021) CFD MODELING OF SLURRY PIPELINE AT DIFFERENT PRANDTL NUMBERS. Journal of Thermal Engineering 7 4 951–969.
IEEE
[1]O. Parkash, A. Kumar, and B. Sikarwar, “CFD MODELING OF SLURRY PIPELINE AT DIFFERENT PRANDTL NUMBERS”, Journal of Thermal Engineering, vol. 7, no. 4, pp. 951–969, May 2021, doi: 10.18186/thermal.930932.
ISNAD
Parkash, Om - Kumar, Arvind - Sikarwar, Basant. “CFD MODELING OF SLURRY PIPELINE AT DIFFERENT PRANDTL NUMBERS”. Journal of Thermal Engineering 7/4 (May 1, 2021): 951-969. https://doi.org/10.18186/thermal.930932.
JAMA
1.Parkash O, Kumar A, Sikarwar B. CFD MODELING OF SLURRY PIPELINE AT DIFFERENT PRANDTL NUMBERS. Journal of Thermal Engineering. 2021;7:951–969.
MLA
Parkash, Om, et al. “CFD MODELING OF SLURRY PIPELINE AT DIFFERENT PRANDTL NUMBERS”. Journal of Thermal Engineering, vol. 7, no. 4, May 2021, pp. 951-69, doi:10.18186/thermal.930932.
Vancouver
1.Om Parkash, Arvind Kumar, Basant Sikarwar. CFD MODELING OF SLURRY PIPELINE AT DIFFERENT PRANDTL NUMBERS. Journal of Thermal Engineering. 2021 May 1;7(4):951-69. doi:10.18186/thermal.930932

Cited By

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