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Year 2021, Volume: 7 Issue: 4, 951 - 969, 01.05.2021
https://doi.org/10.18186/thermal.930932

Abstract

References

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CFD MODELING OF SLURRY PIPELINE AT DIFFERENT PRANDTL NUMBERS

Year 2021, Volume: 7 Issue: 4, 951 - 969, 01.05.2021
https://doi.org/10.18186/thermal.930932

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.

References

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There are 78 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Articles
Authors

Om Parkash This is me 0000-0001-7080-570X

Arvind Kumar This is me 0000-0003-0495-199X

Basant Sikarwar This is me 0000-0001-8532-7528

Publication Date May 1, 2021
Submission Date April 28, 2019
Published in Issue Year 2021 Volume: 7 Issue: 4

Cite

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

IMPORTANT NOTE: JOURNAL SUBMISSION LINK http://eds.yildiz.edu.tr/journal-of-thermal-engineering