Numerical and experimental investigation of the self-inducing turbine aeration capacity

Achouri, Ryma; Dhaouadi, Hatem; Mhiri, Hatem; Bournot, Philippe

doi:10.1016/j.enconman.2014.03.081

Cited by 4 publications

(3 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Simulation technology's ability to predict these computational parameters has significant implications for reactor and internal structure design. Achouri et al 60 performed numerical simulations to examine of impeller immersion depth and blade angle on the k L a of a self-inducing impeller in the reactor and compared the results to experimental data. Greater impeller depth and blade angle resulted in lower k L a values.…”

Section: Cfd Application Of Self-inducing Reactorsmentioning

confidence: 99%

See 1 more Smart Citation

Self-inducing Reactors for Bioengineering

Gan,

Liu,

Chen

et al. 2023

ACS Omega

View full text Add to dashboard Cite

Packed tower reactors, mechanically stirred reactors, airlift reactors, and gas-self-inducing reactors are frequently utilized among the various types of reactors. Self-inducing reactors exhibit notable advantages owing to their simple structure, effective gas–liquid intermixing, and low energy requirements, rendering them highly suitable for bioengineering endeavors. The purpose of this analysis is to shed light on the use of self-inducing reactors in bioengineering by examining the following five parameters: critical speed, suction rate, volumetric mass transfer coefficient, power characteristics, and gas hold-up. Through a comprehensive analysis of the advancements achieved in these domains, it is possible to determine the challenges and opportunities that lie ahead in the realm of bioengineering.

show abstract

Section: Cfd Application Of Self-inducing Reactorsmentioning

confidence: 99%

“…Achouri et al. 60 performed numerical simulations to examine the effect of impeller immersion depth and blade angle on the k L a of a self-inducing impeller in the reactor and compared the results to experimental data. Greater impeller depth and blade angle resulted in lower k L a values.…”

Section: Self-inducing Reactorsmentioning

confidence: 99%

Self-inducing Reactors for Bioengineering

Gan,

Liu,

Chen

et al. 2023

ACS Omega

View full text Add to dashboard Cite

show abstract

“…In addition, it was ensured that the Reynolds number of fluid flow between the impellers was reduced to 27 by slightly reducing the distance between the lower two impellers. Achouri et al [33] studied the flow field of self-inducing turbines by a two-phase CFD model with a volume of fluid model. A good agreement was obtained between the simulated results and the experimental data in this study.…”

Section: Introductionmentioning

confidence: 99%

The Whole Process CFD Numerical Simulation of Flow Field and Suspended Solids Distribution in a Full-Scale High-Rate Clarifier

Luo

et al. 2022

Sustainability

View full text Add to dashboard Cite

To further reduce the contents of phosphorus and suspended solids (SS) in the effluent, the high-rate clarifier is adopted by some wastewater treatment plants (WWTPs) to upgrade their processes. However, due to the complex phosphorus species and unclear hydraulic characteristics after the addition of the high-rate clarifier, the removal efficiencies of total phosphorus and the optimization strategies of SS removal remain unclear. The high-rate clarifiers are mainly composed of the mixing zone and the settling zone. Only the hydraulic characteristics of the mixing zone have been studied. It is necessary to focus on the hydrodynamics of the settling zone to understand the sedimentation process and pollutant removal mechanism in depth. Therefore, this study focused on the whole process of high-rate clarifier of the Wuhan Nantaizi Lake WWTP in China. The distributions of flow velocity and SS in the full-scale high-rate clarifier were simultaneously simulated by the solid-liquid two-phase whole process computational fluid dynamics (CFD) model which was established in this study. The simulated results of the developed CFD model were in good agreement with the experimental data obtained in the high-rate clarifier. The normalized standard error was less than 7.66%. The overall flow velocities in the settling tank were much smaller than that in the reaction tank. After the fluid passed through the diversion effect of the overflow wall and the under-through channel, the overall kinetic energy loss was relatively large. Meanwhile, the residence time of fluid in the settling tank was longer than that in the reaction tank. The sludge sedimentation happened at the edge of the settling tank due to the vertical angle between the plug-flow fluid and the outlet. The successful construction of the CFD model could lay the foundation for the next step of the high-rate clarifier optimization operation and research on pollutant removal.

show abstract

The optimization on distributions of flow field and suspended solids in a full-scale high-rate clarifier using computational fluid dynamics

Xiao

et al. 2020

Biochemical Engineering Journal

View full text Add to dashboard Cite

Numerical and experimental investigation of the self-inducing turbine aeration capacity

Cited by 4 publications

References 33 publications

Self-inducing Reactors for Bioengineering

Self-inducing Reactors for Bioengineering

The Whole Process CFD Numerical Simulation of Flow Field and Suspended Solids Distribution in a Full-Scale High-Rate Clarifier

The optimization on distributions of flow field and suspended solids in a full-scale high-rate clarifier using computational fluid dynamics

Contact Info

Product

Resources

About