Experimental and computational fluid dynamic study of reacting gas jet in liquid: Flow pattern and heat transfer

Dahikar, Sachin K.; Joshi, Jyeshtharaj B.; Shah, Manish S.; Kalsi, Avtar S.; RamaPrasad, Chaganti S.; Shukla, Daya S.

doi:10.1016/j.ces.2009.09.035

Cited by 19 publications

(5 citation statements)

References 34 publications

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“…A species transport model was applied to simulate the mixing process of the two miscible high-viscosity fluids in the dynamic mixer. The conservation equation of species i is where D m is the mass diffusion coefficient, and f i is the local mass fraction of the species i . In the system, an equation in this form will be solved for n – 1 species with n the total number of fluid species.…”

Section: Simulationsmentioning

confidence: 99%

Refractive Index-Matched PIV Experiments and CFD Simulations of Mixing in a Complex Dynamic Geometry

Huang

Chen

Wang

et al. 2020

Ind. Eng. Chem. Res.

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The flow fields under laminar conditions in two typical regions of a cavity transfer dynamic mixer consisting of an inner rotor and outer stator were visualized by refractive index (RI) matched particle image velocimetry (PIV) experiments. The RI of the working liquids and the transparent solid parts of rotor and stator were matched to allow for unobstructed optical access. The flow fields were predicted by using computational fluid dynamics (CFD) simulations including models for species transport. Various flow patterns in the dynamic mixer are discussed. The simulated flow fields in the two investigated regions agree well with the experimental data. The effect of gap width between rotor and stator (σ) on the scalar mixing was evaluated, and smaller σ will achieve better mixing because of the enhanced shearing and higher energy consumption.

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Section: Simulationsmentioning

confidence: 99%

Refractive Index-Matched PIV Experiments and CFD Simulations of Mixing in a Complex Dynamic Geometry

Huang

Chen

Wang

et al. 2020

Ind. Eng. Chem. Res.

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“…A species transport model was employed for simulating the mixing process of the two miscible fluids in the lid-driven cavity. The conservation of species i can be given as follows [35]:…”

Section: Plif Measurement Techniquementioning

confidence: 99%

Mixing process of two miscible fluids in a lid-driven cavity

Huang

Wang

et al. 2019

Chemical Engineering Journal

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A laminar lid-driven cavity flow was constructed to represent the fundamental characteristics of an industrial dynamic mixer. The flow patterns and mixing process in the cavity were measured by using particle image velocimetry (PIV) and planar laser-induced fluorescence (PLIF) experiments respectively. The refractive indices of the two miscible liquids involved were carefully matched to allow for unhindered optical access. The mixing process was predicted by using computational fluid dynamics (CFD) including models for species transport. The simulated flow and mixing results are in good agreement with the experimental data. The effects of density difference and viscosity of the two miscible fluids on the mixing process were evaluated. Minor variations in the densities of the fluids have significant influence on the mixing process in terms of the coefficient of variation as a function of time. The dimensionless group Ar Re (Archimedes number over Reynolds number) is proposed to characterize the mixing process in the cavity.

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“…Gas–liquid jet flow, one of the most common multiphase flow phenomena, 1,2 has gained considerable attention in recent years owing to its widespread applications in chemical and physical processes such as fuel combustion, 3 jet pumps, 4 air-blast atomization, 5 blow spinning, 6 and coal–water slurry gasification. 7 Gas–liquid jet flow can be formed by injection of a high-speed gas into a low-speed liquid, in which the liquid is exposed to strong tensile and shear stress due to the momentum exchange from the surrounding high-speed gas flow.…”

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confidence: 99%

“…Over the past decades, physical effects introduced by gas–liquid jet flow have been extensively investigated, including the fluid morphology, 2 mass- and heat-transfer characteristics, 11,13,14 flow patterns, 1 mixing performance, 15 and hydrodynamic behavior. 16,17 However, its possible chemical consequences have not yet drawn enough attention.…”

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confidence: 99%