Influence of Double Entry Volute on Incidence Angle Variation Under Steady Flow: Numerical Investigation

Gurunathan, Balamurugan A.; Khairuddin, Uswah; Shah, Nazrun Nabill Azlan; Martinez-Botas, Ricardo

doi:10.37934/cfdl.12.10.7589

Cited by 7 publications

(10 citation statements)

References 16 publications

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“…A computational domain of simplified intake manifold with two types of intake manifold are drawn using SolidWorks 2018. The software is used to build a solver, which is made up of mathematical algorithms that simulate and analyse airflow [14]. To compute fluid flow parameters, the inlet end's front surface is set to normal speed in the inlet boundary, while the face outlet of each manifold is set to pressure outlet boundary and others to the wall boundary.…”

Section: Computational Fluid Dynamics (Cfd)mentioning

confidence: 99%

Flow Analysis of Intake Manifold Using Computational Fluid Dynamics

Saiful Azam,

Zainal Abidin,

Ishak

et al. 2023

IJIE

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The main element of the air intake system is an intake manifold. These are the main components which control the flow value that will be used in the combustion chamber. Thisstudyaimsto analyse the velocity of flow distribution in all runners and to compare the design of intake manifold in previous study. Simulations are performed on two types of intake manifold design which are Design 1, the inlet end is located next to the regulator chamber whilst for Design 2, the inlet end is inthe middle of regulator chamber. Intake manifold parameters such as velocity distribution, unevenness and pressure losses along the runner are used to determine the better design for better performance. From the results, the velocity,and the pressure of intake manifold of these twotypes of design are determined. Compared with previous study, the velocity difference is 0.05%. This showed that the simulation result obtained in this study is in accordance with previous study. Next, the percentage difference between Design 1 and previous design is approximately 4%. Furthermore, the pressure losses between Design 1 and Design 2 are 0.3% and Design 1 achieved the range of acceptable values between 2500Pa to 3000Pa. The results of the velocity distribution, the evenness of each runner and the value of pressure losses shows that Design 1 met all the criteria and exhibited the best design improvement as compared to the previous design with 2% improvement.

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Section: Computational Fluid Dynamics (Cfd)mentioning

confidence: 99%

Flow Analysis of Intake Manifold Using Computational Fluid Dynamics

Saiful Azam,

Zainal Abidin,

Ishak

et al. 2023

IJIE

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“…The simulation is carried out in the CFX module of ANSYS® and performed for each point shown in Figure 4, where the mass flow rate is varied to find the head and thus be able to reconstruct the curve. As an alternative to mass flow rate, it is possible to use the velocity [66], although it is not usual for this type of turbomachinery.…”

Section: Step 3: Meshmentioning

confidence: 99%

Characterization of a Commercial Axial Flow PAT Through a Structured Methodology Step-by-Step

Vásquez

Graciano-Uribe

Torres

2022

CFDL

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A centrifugal pump as a turbine (PAT) is the inverse operation of a conventional pump, which takes advantage of the hydraulic energy of water to convert it into rotational mechanical energy and subsequently into electrical energy, through a generator. The CFD analysis allows predicting the fluid dynamic behavior and calculating the operating characteristic curve of the PAT, thus reducing costs in experimental setups. In the literature, the operation of the turbomachine in pump and turbine mode is evidenced. However, there is no methodology applied in commercial axial flow pumps that exposes a structured step-by-step to carry out the numerical and fluid dynamic analysis. In this study, a novel structured methodology is developed describing the numerical and CFD analysis of a commercial axial flow centrifugal pump, which allows validating the characteristic curve in pump mode and then obtaining the site conditions in turbine mode, for its application in small hydroelectric power plants. As a result, in pump mode, an error of less than 8% is obtained between the manufacturer's curve and the numerical curve. In turbine mode, the best performance is around 73%. The aim is to propose a replicable algorithm in future works that allows the proper analysis in commercial axial flow pumps.

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“…Prediction of the performance of turbomachinery is an important step in the design process for many applications [1][2][3]. For aviation industry, fuel economy is an important objective.…”

Section: Introductionmentioning

confidence: 99%

Computational Prediction of the Performance Map of a Transonic Axial Flow Compressor

Idres

Azmi

2022

CFDL

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Aviation fuel efficiency is an important target for aviation industry. Aircraft engine compression ratio is a key factor to improve fuel consumption. Compression ratio can be increased using transonic compressor. In this study, performance prediction of a transonic axial compressor at design and off-design operating conditions is investigated numerically using ANSYS-CFX software. The compressor is NASA Rotor 37. Firstly, the performance at design point is predicted, where mesh independence study is performed to determine suitable mesh size. Three-dimensional flow details for meridional plane, blade-to-blade plane and airfoil surface are explored. The design point study successfully captured flow features such as shock waves and flow separation regions. When compared with experimental data, the predicted compressor pressure ratio deviation error is less than 5%. 3D flow details show that shock wave strength increases from hub to tip. The shock wave moves backward as we move from hub to tip indicating that the flow separation covers lesser portion of the blade. Secondly, off-design performance is predicted for various rotational speeds. A simple procedure is utilized to predict surge and choke limits. The predicted compressor map is compared with experimental data and it shows overall root mean square error less than 5%. The success of the method developed in this research make it a viable method to be used in the design phase of transonic compressors to evaluate the effect of design modifications for both design and off-design operating conditions.

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Influence of Double Entry Volute on Incidence Angle Variation Under Steady Flow: Numerical Investigation

Cited by 7 publications

References 16 publications

Flow Analysis of Intake Manifold Using Computational Fluid Dynamics

Flow Analysis of Intake Manifold Using Computational Fluid Dynamics

Characterization of a Commercial Axial Flow PAT Through a Structured Methodology Step-by-Step

Computational Prediction of the Performance Map of a Transonic Axial Flow Compressor

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