CFD modeling for slurry flow through a horizontal pipe bend at different Prandtl number.

The present work shows the slurry flow characteristics of bottom ash particulates having density 2219 kg/m3 at different Prandtl number through horizontal pipe bend. The simulation is carried out by adopting Eulerian two-phase model in conjunction with RNG k-ε turbulence model using 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 are used to carry the bottom ash concentration ranging from 40 to 60% (by weight) at mean flow-velocity ranging from 1 to 5 ms−1. The obtained computational results for pressure drop are validated with the published data in the literature and found in good agreement. The findings show that the pressure drop rises with escalation in flow velocity and Prandtl number for chosen efflux concentration range. The bottom ash particulates flowing at higher Prandtl fluid experiences less pressure drop through bend cross section in comparison to bottom ash particulates flowing at low Prandtl fluid. Finally, the contours of granular pressure, granular temperature and wall shear stress are predicted and discussed in details through the bend cross section to understand the complex slurry flow for chosen Prandtl numbers. Granular pressure P ∗ distribution for 300-μm particle at V m = 5 ms−1 and efflux concentration: C w = 50%. [Display omitted] • 3D CFD modeling of slurry flow via horizontal pipe bend is investigated. • Effect of different Prandtl number on slurry flow through pipe bend is studied. • Effect of particle size and flow velocity on slurry pressure drop is presented. • At lower Prandtl number, maximum granular pressure and temperature is found. • Larger particle is found to have higher wall shear stress. [ABSTRACT FROM AUTHOR]