Shape Optimization of Cutoff in a Multiblade Fan/Scroll System Using Response Surface Methodology

Han, In-Young; Maeng, Joo-Sung; Yoo, Dal-Hyun

doi:10.1080/713836148

Cited by 20 publications

(10 citation statements)

References 7 publications

(8 reference statements)

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“…Then, the response surface method with three-dimensional Navier-Stokes analysis had been applied well for the design of blade section of axial compressor rotor [7], low speed axial fans [8] and forward-curved blades centrifugal fans [9] respectively. Han S. Y. and Maeng J. S. [10] had studied the characteristics of the inactive zone, and optimized the shape of cutoff by using a two-dimensional RANS analysis and response surface method. Samad et al [11] had reported on the blade modification to optimize a centrifugal compressor using multiple surrogate models.…”

Section: Introductionmentioning

confidence: 99%

An integrated blade optimization approach based on parallel ANN and GA with hierarchical fair competition dynamic-niche

Zhang

Wang

et al. 2011

J Mech Sci Technol

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This work presented an available multi-point blade optimization procedure for better aerodynamic performances. Based on the proposed Parallel ANN and GA with hierarchical fair competition dynamic-niche (GA-HFCDN), an integrated approach for the blade optimization design was put forward by combining Bezier parameterization with FINE/TURBO solver. In the optimization design, parallel ANN was employed to build a more proper approximate model. GA-HFCDN was proposed to obtain the global optimization solution more efficiently for the blade design. Two research cases, including plane cascades blade optimization and the optimization and experimental study of a low specific speed centrifugal blower blade, were performed by using the above approach. The conclusions showed the rationality and validity of the optimization approach.

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Section: Introductionmentioning

confidence: 99%

An integrated blade optimization approach based on parallel ANN and GA with hierarchical fair competition dynamic-niche

Zhang

Wang

et al. 2011

J Mech Sci Technol

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“…Numerical CFD analysis enables 3D simulation of the flow inside the air purifier, including estimation of flow speed and noise distribution [1][2][3][4]. Additionally, there have been many studies [5][6][7][8] that used design of experiments (DOE), which maximizes the information gained through minimal testing by appropriately posting test points, as well as design optimization (DO), which aims to obtain an optimum solution by combining and approximating the estimated noise in each test point.…”

Section: Introductionmentioning

confidence: 99%

Optimization of sirocco fan blade to reduce noise of air purifier using a metamodel and evolutionary algorithm

et al. 2015

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“…Kim et al [10][11][12] applied well the response surface method and three-dimensional Navier-Stokes analysis to design blade section of axial compressor rotor, low speed axial fans, etc. Han and Maeng [13] studied the characteristics of the inactive zone, and optimized the shape of cut-off by using a two-dimensional RANS analysis and response surface method. Recently, artificial neural networks (ANN) and genetic algorithms (GA) have been employed for the optimization design of low pressure axial flow fans [14,15] and turbine blades [16,17] gradually.…”

Section: Introductionmentioning

confidence: 99%

Blade optimization design and performance investigations of an ultra-low specific speed centrifugal blower

Zhang

Wang

et al. 2010

Sci. China Technol. Sci.

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The ultra-low specific speed centrifugal blower is widely used in energy industries due to its features such as low flow rate, high pressure and low manufacturing cost. However, the width-to-diameter ratio of the above blower becomes relatively small to satisfy the needed operation condition and its performances are considerably degraded as a result of relatively high leakage, disc friction and passage friction loss consequently. The purpose of this paper is to improve its performance through the optimization design of the blade's profile properly. Based on artificial neural networks (ANN) and hierarchical fair competition genetic algorithms with dynamic niche (HFCDN-GAs), the optimization design approach is established. By conjoining Bezier parameterization and FINE/TURBO solver, the optimized blade is designed by adjusting the profile gradually. An industrial ultra-low specific speed centrifugal blower with parallel hub and shroud has been selected as a reference case for optimization design. The performance investigations of the centrifugal blowers with different types of blades are conducted. The conclusions of the performance improvement of the optimized blade provide positive evidences in the application of the optimization design of the above blower blade. ultra-low specific speed, centrifugal blower, blade optimization design, ANN, HFCDN-Gas, performances investigations Citation:Zhang B, Wang T, Gu C G, et al. Blade optimization design and performance investigations of an ultra-low specific speed centrifugal blower. Sci

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Shape Optimization of Cutoff in a Multiblade Fan/Scroll System Using Response Surface Methodology

Cited by 20 publications

References 7 publications

An integrated blade optimization approach based on parallel ANN and GA with hierarchical fair competition dynamic-niche

An integrated blade optimization approach based on parallel ANN and GA with hierarchical fair competition dynamic-niche

Optimization of sirocco fan blade to reduce noise of air purifier using a metamodel and evolutionary algorithm

Blade optimization design and performance investigations of an ultra-low specific speed centrifugal blower

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