A Review on Computational Fluid Dynamics Applications in the Design and Optimization of Crossflow Hydro Turbines

Mrope, Hamisi Ally; Jande, Yusufu Abeid Chande; Kivevele, Thomas

doi:10.1155/2021/5570848

Cited by 10 publications

(3 citation statements)

References 33 publications

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“…4 With the development of computer technology, computational fluid dynamics (CFD) methods have emerged as a popular alternative for simulating the flow, mixing, and reaction processes in stirred tanks. 5 The CFD method was also used to study how the design parameters of the impeller affect the gas distribution and aeration characteristics in a multiphase stirred vessel. 6,7 The intricate internal flows in the rotodynamic water pump impellers can be predicted well using computational fluid dynamics.…”

Section: Introductionmentioning

confidence: 99%

Optimization of a Gas–Liquid Dual-Impeller Stirred Tank Based on Deep Learning with a Small Data Set from CFD Simulation

Kang,

Feng,

Wang

2023

Ind. Eng. Chem. Res.

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An optimization strategy based on deep learning was developed for dual-impeller design in a gas−liquid stirred tank. The optimization objective was to maximize the gas−liquid specific interfacial area and minimize power consumption. A small raw data set was obtained with time-consuming computational fluid dynamics (CFD) simulation for different dual-impeller designs. The noise injection method was employed as a data augmentation technique to generate the virtual data. Based on the augmented data set, feedforward neural network (FNN) was used to model the relationship between the six geometric variables of impellers and two objective functions, while Bayesian optimization was applied to tune the hyperparameters of FNN. A two-stage deep learning approach was introduced to enhance the prediction of power consumption based on the correlation between the specific interfacial area and power consumption. The deep learning model was used to calculate the entire solution space and, thereby, capture the Pareto optimal solutions. The proposed method validated by a data set of CFD simulations could achieve high prediction accuracy and robustness.

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Section: Introductionmentioning

confidence: 99%

Optimization of a Gas–Liquid Dual-Impeller Stirred Tank Based on Deep Learning with a Small Data Set from CFD Simulation

Kang,

Feng,

Wang

2023

Ind. Eng. Chem. Res.

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“…The method for evaluating how correctly the CFD model represents the actual environment from the perspective of the anticipated application is essential for its effectiveness. To give confidence in the expected results, CFD solutions must take into account the corresponding error ranges as well as uncertainties ensuing from the findings [3]. CFD is hugely beneficial for hydraulic engineering simply because it is typically more adaptable than a physical model in modifying the physical form and/or hydraulic conditions, enabling the testing of numerous configurations for comparison.…”

Section: Introductionmentioning

confidence: 99%

Free-Surface Vortices Mitigation using Anti-Vortex Plates in Dam Intakes through CFD

Manogaran

Zainol

Wahab

et al. 2023

CFDL

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By recording parameters such as velocity and volume fraction by contour plots or plane, a CFD model enables to analyse flow patterns in the model, such as free-surface vortices A free-surface vortex, a common problem may indeed be observed in a variety of submerged water intakes, notably shallow basins and low head intakes. These FSVs are likely to form an air-core vortex, eventually entrapping detritus and air pockets in the water intake system and causing further vibration and damage to the downstream turbine. When paired with a high velocity, the formation of vortices in the system been known to produce hydraulic transients, which cause unwanted operation or pressure changes. The model of the 1:100 scale dam reservoir was generated, computationally meshed, and modelled in FLUENT under ANSYS 2019 R3 at two different water levels to observe the FSV formations. To mitigate those FSV formations, anti-vortex plates with two distinct plates—square and wedge—were used. From the findings square plates outperform wedge plates because square it lowers the speed of a fast-flowing fluid and reduces it into a laminar flow rather of a turbulent flow, which benefits vortex class deterioration. Data from the simulation and experimental shows a strong agreement in terms of velocity at outlet 1 from both water levels with relative errors of 3.0% and 14.1% respectively

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“…The method used is Computational Fluid Dynamics (CFD) with an analysis of pressure and the material transport flow rate of Crude Oil. The advantage of CFD simulation is the speed of time to obtain research data (Hu et al, 2022;Mrope et al, 2021;Szpicer et al, 2023). In the oil industry, the number of blades on the impeller commonly used in centrifugal pumps ranges from 12 to 16.…”

Section: Introductionmentioning

confidence: 99%

Optimization of impeller blade number in centrifugal pump for crude oil using Solidworks Flow Simulation

Aldio,

Waskito,

Purwantono

et al. 2023

jerel

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Every type of fluid to be transferred has specific characteristics such as viscosity, density, friction, and others, thus requiring the selection of the appropriate pump type. One of the factors influencing the performance of a centrifugal pump is the number of blades used. This research aims to explore the influence of the number of blades on a centrifugal pump used as a fluid transfer device for crude oil. The study was conducted using the Computational Fluid Dynamics (CFD) method. The analyzed variations of the number of blades included three options, namely centrifugal pumps with 12, 14, and 16 blades. Based on the simulation results conducted using Solidworks Research License 2021-2022 software, it was found that the centrifugal pump with 12 blades exhibited the most optimal performance. The simulation results show uniform flow and pressure around the mid-span plane of the 12-blade impeller. In the case of the 12-blade impeller, the flow thrown by the centrifugal force is concentrated in the middle of the channel towards the outlet, resulting in higher pressure and volume flow rates.

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A Review on Computational Fluid Dynamics Applications in the Design and Optimization of Crossflow Hydro Turbines

Cited by 10 publications

References 33 publications

Optimization of a Gas–Liquid Dual-Impeller Stirred Tank Based on Deep Learning with a Small Data Set from CFD Simulation

Optimization of a Gas–Liquid Dual-Impeller Stirred Tank Based on Deep Learning with a Small Data Set from CFD Simulation

Free-Surface Vortices Mitigation using Anti-Vortex Plates in Dam Intakes through CFD

Optimization of impeller blade number in centrifugal pump for crude oil using Solidworks Flow Simulation

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