Effect of blade type on a 3D FC centrifugal fan

Amjadimanesh, A.; Ajam, Hossein; Nezhad, Alireza Hossein

doi:10.5937/jsscm1401023a

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…-Application Geometric Model Development Phase: The generation of CAD models from point data is probably the most complex activity within RE because potent surface fitting algorithms are required to generate surfaces that accurately represent the three-dimensional information described within the point cloud data sets. [6] In this work, coordinate measuring machine (CMM) is used for the collection of point cloud data which is shown in Figure [1]…”

Section: Reverse Design Methodologymentioning

confidence: 99%

“…Experimental method is money and time consuming for this reason, The technique of numerical simulation of fluid flow CFD (Computational Fluid Dynamics), based on the resolution of the Navier-Stokes equations has more benefit, it is used to improve the overall performance of fans in the design phase and develop new products more quickly and with less uncertainty. A large number of researches in this field mainly related to numerical simulation of flow in turbomachinery (centrifugal fan) are as follows: A. Amjadimanesh, H. Ajam and A. Hossein Nezhad [1], simulated numerically a 3D forward curved centrifugal fan. various turbulent models were compared and they examined the influence of blade shapes including (flat blade, circular blade and NACA4412 airfoil blade) on the fan performance.to determine the most efficient one.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Retro Design of Impeller Blade of the Induced Draft Fan (Fn-280) Using a Coordinate Measuring Machine (Cmm)

AMOUR¹,

Menasri²,

BIDI³

et al. 2021

EURAS

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Centrifugal fans are widely encountered in engineering practices, they are essential in the cement production process. The three dimensional, complex and turbulent flow in a centrifugal fan makes the prediction of the performance of the centrifugal fan and the examination of the flow field very difficult. Computational techniques have made a great progress, because of time and cost that may be involved in experimental analysis of the flow, computational fluid dynamics (CFD) is intensively used in many industrial purposes. Nevertheless, the agreement between the numerical results and real data is a subject of many researches, because the numerical result is very sensitive to the numerical method being used, the boundary conditions applied, mesh generation and turbulence model selection. To consider the interaction between the main three parts of the fan namely the inlet, impeller, and scroll, it is necessary to carry out a three-dimensional Numerical simulation of the flow field for the whole centrifugal fan. The impeller is the important part of the centrifugal fan and the aerodynamic design of the impeller blades affects the flow passage, thus improving the aerodynamic design of the blades results in improvements of fan performance and reduction of flow separation. The selection of turbulence model depends on the flow separation that can occur, particularly in the blade passage, thus in order to get a good numerical investigation of the performance of the fan and predict the internal flow field in the impeller, a Coordinate measuring machine (CMM) machine is used as a reverse engineering tool to extract the original impeller blade design of the induced Draft fan (FN-280) by using Geomatics software for point cloud processing.

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Section: Reverse Design Methodologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Retro Design of Impeller Blade of the Induced Draft Fan (Fn-280) Using a Coordinate Measuring Machine (Cmm)

AMOUR¹,

Menasri²,

BIDI³

et al. 2021

EURAS

View full text Add to dashboard Cite

show abstract

“…So for practical applications, it is necessary to know how far the steady techniques are realistic. Many researchers used the MRF method for performance analysis of centrifugal pump [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%