Direct numerical simulation study of end effects and D/d ratio on mass transfer in packed beds

Bale, Shivkumar; Tiwari, Sudarshan; Sathe, Mayur J.; Berrouk, Abdallah S.; Nandakumar, K.; Joshi, Jyeshtharaj B.

doi:10.1016/j.ijheatmasstransfer.2018.07.100

Cited by 37 publications

(18 citation statements)

References 25 publications

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“…CFD has been used as a useful tool for hydrodynamic prediction, design, scale‐up, and optimization of several chemical engineering equipments. Some of the commonly used chemical engineering equipments, that have investigated using CFD so as to understand the underlying flow physics involved are: pipes and pipe bends, particulate flows, packed bed reactors, fluidized bed reactors, bubbly flows, and heat exchangers . CFD has gained a lot of importance in the previous three decades owing to the wide application and promising results, which it offers at a nominal cost.…”

Section: Introductionmentioning

confidence: 99%

Teaching turbulent flow through pipe fittings using computational fluid dynamics approach

Gajbhiye

Kulkarni

Tiwari

et al. 2020

Engineering Reports

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The largest network of fluid transportation in the world is through pipelines.During the transportation of fluids through pipes, several "fittings" are used in the piping system such as elbows, T-junctions, reducers, expanders, bends, couplings, valves, etc. The flow complexities in pipe fittings are accounted for the pressure drop in piping network design. The pressure drop is estimated using the loss coefficient or equivalent length method using standard charts. Computational fluid dynamics (CFD) is a reliable tool to estimate pressure drop and understand nonidealities in pipe fittings. The use of CFD in the advanced level course in transport phenomena/fluid flow for piping network design can help students to implement modern mathematical tools as well as evaluate standard protocols followed in the industries. In this article, an interactive teaching methodology has been implemented to investigate the hydrodynamics in various pipe fittings (elbow, bend, Tee, and reducer) by actually visualizing the flow. The three-dimensional flow visualization is used to demonstrate the nonidealities such as separation, swirling, dead zones, etc. The CFD simulations of pipe fittings provided a new learning experience to the students that would help them to predict the pressure drops in industrial piping network systems. The outcome from the students' survey showed that the proposed CFD methodology assisted them to gain a better understanding of conventional Chemical Engineering subjects of "Transport Phenomena" and "Fluid Dynamics" in an innovative way. K E Y W O R D Scomputational fluid dynamics, head loss coefficient, pipe fittings, turbulence models 1

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Section: Introductionmentioning

confidence: 99%

Teaching turbulent flow through pipe fittings using computational fluid dynamics approach

Gajbhiye

Kulkarni

Tiwari

et al. 2020

Engineering Reports

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“…In Table S1, we have systematically analyzed some of the past CFD studies carried out for combustion of biomass. ,,, The assumptions made in each of these simulations along with the solver details have been specified to have a gist of the current scenario of biomass combustion modeling using the CFD approach. From the foregoing discussion, it is clear that several points need attention before undertaking the exercise of improving efficiency: (i) For a variety of geometrical configurations, it is important to understand the flow and temperature distribution at all the location in the BCS.…”

Section: Historical Development Of Biomass Cook Stovesmentioning

confidence: 99%

“…ANSYS Design Modeler was used as a preprocessor to define the 3D geometry of the cook stove model. For generating the random spherical packing coordinates, the DEM randomization algorithm explained in great detail in our earlier works was used. − The generated 3D geometry was imported from ANSYS Design Modeler and meshed into small control volumes employing the cut cell meshing method for obtaining grids of high orthogonal quality with a minimum skewness. The meshed geometries for the critical locations in the model are shown in Figure .…”

Section: Mathematical Modelsmentioning

confidence: 99%

Computational Fluid Dynamics Study of Biomass Cook Stove—Part 1: Hydrodynamics and Homogeneous Combustion

Husain

Tiwari

Pandit

et al. 2019

Ind. Eng. Chem. Res.

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In this work, a computational fluid dynamics (CFD)-assisted optimization study has been carried out, implementing geometric design modifications in a biomass cook stove (BCS) to achieve uniform air–fuel distribution. The work has been divided into two parts. The first part deals with the numerical investigations of fluid phase hydrodynamics and air–fuel homogeneous phase combustion. Simulations have been performed for a wide range of air velocities to predict the roles of primary and secondary airflow in improving the spatial airflow uniformity inside the BCS. The homogeneous combustion simulations show linear dependence of power and temperature on the air velocity and air-to-fuel ratio. The results indicate that the most optimized power output and temperature values are achieved when the grate is placed at a height of 25 mm, and the orifice plate with 15 holes of 10 mm each is located at a height of 105 mm from the bottom of the cook stove.

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“…It is of great interest to numerically model multiphase reactors for gaining better insights. [19][20][21] Numerical models help decipher the hydrodynamic behaviour of the reactor and get a detailed description of the underlying physics of the different phases involved; this further aids in establishing better equipment design, scale-up procedures, and operability. [22,23] Computational fluid dynamics (CFD) is a numerical model that utilizes the Navier-Stokes equations to simulate the fluid flow in different multiphase reactors.…”

Section: Introductionmentioning

confidence: 99%

Computational fluid dynamic simulations of regular bubble patterns in pulsed fluidized beds using a two‐fluid model

et al. 2021

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This simulation study explores the two-fluid model's (TFM) capability to reproduce the alternating bubble patterns in a sinusoidal pulsed fluidized bed (PFB). Simulations were performed with frictional limits ranging between 0.58-0.62 with the inlet gas frequency being varied in the range of 3-6 Hz. The preliminary investigations showed that the Johnson and Jackson frictional model with a frictional limit of 0.61 yields a regular bubble pattern. The inference of this regular bubble pattern was based on the discrete Fourier analysis of the temporal pressure signals obtained at different spatial locations inside the PFB. Although the one-dimensional temporal pressure signals character-Zhizhong Ding and Shashank S. Tiwari have contributed equally.

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Direct numerical simulation study of end effects and D/d ratio on mass transfer in packed beds

Cited by 37 publications

References 25 publications

Teaching turbulent flow through pipe fittings using computational fluid dynamics approach

Teaching turbulent flow through pipe fittings using computational fluid dynamics approach

Computational Fluid Dynamics Study of Biomass Cook Stove—Part 1: Hydrodynamics and Homogeneous Combustion

Computational fluid dynamic simulations of regular bubble patterns in pulsed fluidized beds using a two‐fluid model

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