Volute characteristics of centrifugal fan based on dynamic moment correction method

This work targets the development of the multidisciplinary design for centrifugal fans, based on the calculation of the fan performance following changes in the fan structure and manufacture. A parametric method that starts from the blade number and manufacturing parameters is first developed to control the shape of fan assembly and its fluid domain. The parametric code, and the aerodynamic and structure analysing codes are then integrated, from the solution of which algorithms are developed to calculate the fan indexes including the flow rate, pressure rise, fan efficiency, fan strength, and the motor power. Validation of the proposed method is performed by the comparison with an experimental test. An orthogonal sampling opens out relevant changes of the fan working performance with respect to the blade number and manufacturing parameters. Results suggest ranges for the blade number and manufacturing parameters that have a sound performance and structure safety when converting the motor power to airflow.

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“…where m is the impeller mass, g equals 9.8 m/s 2 , and T is the actual motor torque satisfying equation (15).…”

Section: Aerodynamic and Structure Modelsmentioning

confidence: 99%

“…Kim et al 14 carried out large eddy simulations based on the explicit algebraic subgrid-scale stress model. Zhou and Li 15 improved the centrifugal fan volute with respect to the flow and the noise. Since centrifugal fans are embedded inside machines, many works have focused on the fluid performance rather than the noise.…”

Section: Introductionmentioning

confidence: 99%

Multidisciplinary assessment of blade number and manufacturing parameters for the performance of centrifugal fans

Liu

Sun

2020

Proceedings of the Institution of Mechanical Engineers, Part A:

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“…Te above research mainly focuses on impeller parameter optimization; besides, the volute is also researched by some scholars, for example, Benchikh Le Hocine et al [11] optimized the impeller and volute of the centrifugal fan, and the latin hypercube sampling and agent model are used to improve the hub shape; the efciency is increased by 8.46%. Zhou et al [12] improved the volute shape by improving the profle of the volute of the centrifugal fan, and the noise of the improved fan is less. Dorogokupets and Frantskevich [13] used CFX software to optimize the fow channel of centrifugal fans to improve noise performance.…”

Section: Introductionmentioning

confidence: 99%

“…Te optimization method of volute provides an efective reference for improving the performance of the centrifugal fan. Zhou and Li [12] modifed the type-line shape of the volute by introducing a dynamic moment correction coefcient to optimize the centrifugal fan. Wang et al [18] used the grouping design model to design the impeller, volute, and volute tongue of the multiwing centrifugal fan.…”

Section: Introductionmentioning

confidence: 99%

Volute Optimization Based on Self-Adaption Kriging Surrogate Model

Meng

Zhang

Wang

2022

International Journal of Chemical Engineering

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Optimizing the volute performance can effectively improve the efficiency of a centrifugal fan by changing the volute geometric parameter, so the self-adaption Kriging surrogate model is used to optimize the volute geometric parameter. Firstly, volute radius Rd, the radius of tongue r, and outlet angle of the volute θ are selected as the optimization parameters of the volute, and latin hypercube sampling is used to configure the initial sample points, the corresponding three-dimensional aerodynamic model under each sample point configuration is constructed. CFD software is used to simulate the aerodynamic efficiency and total pressure of the centrifugal fan under each initial sample point configuration. Secondly, the Kriging surrogate model of initial sample point configuration parameters, aerodynamic efficiency, and total pressure of volute is constructed, and sample points are added by expectation improvement (EI) method to improve the fitting accuracy of Kriging surrogate model. Finally, the high-precision Kriging surrogate model is used as the fitness function of NSGA-II algorithm to find the Pareto optimal solution under multiobjective optimization, and the optimization target are aero dynamical efficiency and total pressure. The rationality of the above method is verified by optimizing the 9–19.4A type centrifugal fan volute. The efficiency of the optimized fan under working conditions is increased by 1%, and the total pressure under working conditions is not reduced. The optimized volute can effectively improve the overall performance of the centrifugal fan. This study is helpful to promote the application of numerical optimization design method in the volute of centrifugal fan. It provides reference for the optimization design of high-performance centrifugal fan.

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“…In the conventional design, the blade profile of the multi-blade centrifugal fan is polynomial (and usually single) in the middle arc. The air performance of single arc blades is generally poor [15]. However, optimizing the design of the multi-segment curve of the blade profile may improve aerodynamic performance, the efficiency and acoustic characteristic of the fan.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Multi-Blade Centrifugal Fan Blade Design for Ventilation and Air-Conditioning System Based on Disturbance CST Function

Zhou

Zhang

Zhang³

et al. 2021

Applied Sciences

Self Cite

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The multi-blade centrifugal fan is commonly used in modern building ventilation and air-conditioning system. However, it does not readily satisfy the increasing demand for energy saving, high efficiency or noise reduction. Its performance is inherently limited by the geometrical structure of single circular arc blades. Q35-type multi-blade centrifugal fan studied as an example by combining the disturbance CST function to parameterize the blades. The optimization parameter change range is confirmed, and test samples are extracted before establishing an RBF proxy model. The NSGA-II algorithm is incorporated, and multi-objective optimization is performed with flow rate and total pressure efficiency as optimization goals. The results show that the fan performance is effectively improved. At the design working point, the air volume of the multi-blade centrifugal fan increases by 1.4 m³/min; at the same time, the total pressure efficiency increases by 3.1%, and the noise is reduced by 1.12 dB, applying the proposed design. The obtained higher fan efficiency can effectively improve performance of the whole ventilation and air-conditioning system. This novel optimization method also has relatively few parameters, which makes it potentially valuable for designing multi-wing centrifugal and other types of fans, providing a new idea for energy saving and emission reduction design of fan.

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Volute characteristics of centrifugal fan based on dynamic moment correction method

Cited by 6 publications

References 12 publications

Multidisciplinary assessment of blade number and manufacturing parameters for the performance of centrifugal fans

Multidisciplinary assessment of blade number and manufacturing parameters for the performance of centrifugal fans

Volute Optimization Based on Self-Adaption Kriging Surrogate Model

Optimization of Multi-Blade Centrifugal Fan Blade Design for Ventilation and Air-Conditioning System Based on Disturbance CST Function

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