Experimental and CFD study on the effect of jet position on reactant dispersion performance

Parvareh, Arsalan; Rahimi, Masoud; Yarmohammadi, M.; Alsairafi, Ammar Abdulaziz

doi:10.1016/j.icheatmasstransfer.2009.08.007

Cited by 7 publications

(10 citation statements)

References 23 publications

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“…5 The plunging jet can be used for the mixing of different liquids, which can be achieved by using other mixer processes such as the jet mixer and the mechanical or static mixer. 6 The jet mixer has several advantages over the mechanical mixer because it has a low sealing problem, 7 low energy consumption, 1 cheaper installation, 8 and a lower mixing time. 9 For the mixing of the liquid−liquid phase, the jet system has a higher liquid mixing and mass-transfer operation.…”

Section: Introductionmentioning

confidence: 99%

Mixing Characteristics of a Liquid–Liquid Dispersion in a Jet-Driven Mixing Column: Developed for the Separation of Organic Pollutants

Sangtam

Prakash

Majumder

2021

Ind. Eng. Chem. Res.

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The present work focuses on studying the degree of liquid–liquid axial dispersion in a jet-driven mixing column. The online conductivity measurement was performed to study the residence time distribution. The effects of the jet velocity and dispersed phase volume on mixing characteristics were studied. The axial dispersion coefficient range was found to be 25.6 to 106 cm2/s. A general correlation is developed to predict the axial dispersion coefficient based on various operating variables. A mechanistic model is proposed to interpret dispersion due to the turbulence and phase circulation inside the jet-driven mixing column. Based on the velocity distribution model, the velocity characteristic factor and the dispersion factor of drop motion were also enunciated. The present study may be helpful for further understanding a two-phase system in industrial applications, especially in liquid–liquid extraction.

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Section: Introductionmentioning

confidence: 99%

Mixing Characteristics of a Liquid–Liquid Dispersion in a Jet-Driven Mixing Column: Developed for the Separation of Organic Pollutants

Sangtam

Prakash

Majumder

2021

Ind. Eng. Chem. Res.

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“…Patwardhan and Thatte 15 investigated the effects of jet velocity, nozzle clearance, liquid depth, and tank size on mixing time with the help of CFD modeling. Some efforts on computational fluid dynamics and experimental studies of mixing in fluid-jet-agitated tanks have been made [16][17][18][19][20][21] .…”

Section: Introductionmentioning

confidence: 99%

Recurrence Quantity Analysis of the Instantaneous Pressure Fluctuation Signals in the Novel Tank with Multi-Horizontal Submerged Jets

Meng

Song

et al. 2016

Chem.Biochem.Eng.Q.

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The circulating jet tank (CJT) has been an alternative piece of equipment for mixing instead of the bottom-stirring tank, which is widely used in industrial applications. The recurrence plots (RPs) and recurrence quantification analysis (RQA) of pressure fluctuation signals (PFS) in the novel CJT were employed to reflect the chaotic extent of jet mixing. The recurrence rate, determinism and averaged diagonal line length of PFS were evaluated at different Reynolds numbers, radial positions and axial positions. The profiles of recurrence rate, determinism and averaged diagonal line length had similar tendency with the increasing Re, which showed that the determinism of PFS increased and the randomness of the chaotic system became small. With the increase in z/H, the recurrence characteristics of PFS at θ m = π/6 gradually increased, which were smaller than that of other θ m . The results of this study provide a deep understanding of the hydrodynamics in the CJT, and thus lay a foundation for further design optimization.

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“…Because completely mixed flow has minimal potential loss of disinfectant, it is preferred for service reservoirs (Grayman et al, 2004). Consequently, mixing by jet is widely used in service reservoirs to achieve fluid homogenization because of its low cost (Parvarieh et al, 2009; Berg et al, 2006; Pantokratoras et al, 1998). However, the size of an actual service reservoir is typically large, which makes it difficult to achieve completely mixed flow with the limited inflow energy.…”

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confidence: 99%

“…With the advancement of computational science and resources, computational fluid dynamics (CFD) has become a feasible and reliable method to complement the flow and tracer tests. By means of CFD, several investigators (Andersson et al, 2013; Dufresne et al, 2011; Parvarieh et al, 2009; Tamayol et al, 2008; Marek et al, 2007; Baawain et al, 2006; Berg et al, 2006; Templeton et al, 2006; Rahimi & Parvareh, 2005; Patwardhan, 2002; Ta & Brignal, 1998) have investigated the mixing in tanks. Compared with the experimental results, CFD modeling predicted overall mixing time very well (Marek et al, 2007; Patwardhan, 2002).…”

mentioning

confidence: 99%

Shape effect on mixing and age distributions in service reservoirs

et al. 2014

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Service reservoirs operate better with completed mixed flow to ensure uniform distributed disinfectant. In this article, the shape effect on mixing and age distributions of a service reservoir was investigated computationally by analyzing three service reservoirs that have commonly designed shapes (rectangle, square, and circle). With the use of the computational fluid dynamics (CFD) method coupled with dynamic meshes, realistic dynamic flow in the service reservoir was simulated with affordable computational cost. The water age distributions were predicted in detail by solving the age equation. Among the three investigated service reservoirs, the rectangular service reservoir had the smallest region of aged water in size and lowest volume‐averaged age values. This is reasonable because the outlet is located opposite to the inlet in this study, and the fluid mixes better along the jet trajectory by virtue of jet‐spreading and turbulent eddies. Therefore, a rectangular service reservoir is the best design among the three tanks investigated. The effects of thermal stratification, inlet–outlet layout, turnover, and height‐over‐diameter (H/D) ratio on mixing and age distributions are not fully covered in this work. The current approach, however, can still be employed to incorporate and evaluate each or combined mentioned effect(s) to arrive at the optimal reservoir design.

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Experimental and CFD study on the effect of jet position on reactant dispersion performance

Cited by 7 publications

References 23 publications

Mixing Characteristics of a Liquid–Liquid Dispersion in a Jet-Driven Mixing Column: Developed for the Separation of Organic Pollutants

Mixing Characteristics of a Liquid–Liquid Dispersion in a Jet-Driven Mixing Column: Developed for the Separation of Organic Pollutants

Recurrence Quantity Analysis of the Instantaneous Pressure Fluctuation Signals in the Novel Tank with Multi-Horizontal Submerged Jets

Shape effect on mixing and age distributions in service reservoirs

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