Blades optimal design of squirrel cage fan based on Hicks-Henne function

2020 ◽  
pp. 095440622096972
Author(s):  
Huaxin Zhou ◽  
Shuiqing Zhou ◽  
Zengliang Gao ◽  
Haobing Dong ◽  
Ke Yang
Keyword(s):  
Total Pressure ◽  
Latin Hypercube Design ◽  
Nsga Ii ◽  
Agent Model ◽  
Parameterized Design ◽  
Squirrel Cage ◽  
Air Volume ◽  
Single Arc ◽  
Design Requirements ◽  
Working Point

The traditional single-arc blade used in the squirrel cage fan is simple in structure and cannot meet relevant parameterized design requirements. In order to improve the aerodynamic performance of single-arc blades of squirrel cage fans an improved Hicks-Henne function was used in this study to parameterize the blade expression in a Q35 single-suction squirrel cage fan. The AE criterion was used to optimize the Latin hypercube design, a Co-Kriging agent model was established with High and low confidence samples, and the NSGA-II algorithm was combined with the flow rate and total pressure efficiency as a multi-objective optimization goal. A set of optimal blade parameters was selected under the premise that the flow meets the design requirements. The optimized fan's total pressure and total pressure efficiency were improved at each working point. At the design working point, the fan's total pressure increased by about 23Pa, the effective air volume increased by 1.18m³/min, and the total pressure efficiency improved by 3.31%.

Multi-objective optimization of squirrel cage fan for range hood based on Kriging model

2021 ◽  
pp. 095440622199586
Author(s):  
Qianhao Xiao ◽  
Jun Wang ◽  
Boyan Jiang ◽  
Weigang Yang ◽  
Xiaopei Yang
Keyword(s):  
Flow Rate ◽  
Optimization Design ◽  
Volume Flow Rate ◽  
Kriging Model ◽  
Volume Flow ◽  
Design Parameters ◽  
Multi Objective Optimization ◽  
Nsga Ii ◽  
Multi Objective ◽  
Squirrel Cage

In view of the multi-objective optimization design of the squirrel cage fan for the range hood, a blade parameterization method based on the quadratic non-uniform B-spline (NUBS) determined by four control points was proposed to control the outlet angle, chord length and maximum camber of the blade. Morris-Mitchell criteria were used to obtain the optimal Latin hypercube sample based on the evolutionary operation, and different subsets of sample numbers were created to study the influence of sample numbers on the multi-objective optimization results. The Kriging model, which can accurately reflect the response relationship between design variables and optimization objectives, was established. The second-generation Non-dominated Sorting Genetic algorithm (NSGA-II) was used to optimize the volume flow rate at the best efficiency point (BEP) and the maximum volume flow rate point (MVP). The results show that the design parameters corresponding to the optimization results under different sample numbers are not the same, and the fluctuation range of the optimal design parameters is related to the influence of the design parameters on the optimization objectives. Compared with the prototype, the optimized impeller increases the radial velocity of the impeller outlet, reduces the flow loss in the volute, and increases the diffusion capacity, which improves the volume flow rate, and efficiency of the range hood system under multiple working conditions.

scholarly journals Effects of Single-arc Blade Profile Length on the Performance of a Forward Multiblade Fan

Processes ◽  
2019 ◽  
Vol 7 (9) ◽  
pp. 629 ◽  
Author(s):  
Yikun Wei ◽  
Cunlie Ying ◽  
Jun Xu ◽  
Wenbin Cao ◽  
Zhengdao Wang ◽  
...  
Keyword(s):  
Total Pressure ◽  
Static Pressure ◽  
Secondary Flows ◽  
Design Flow ◽  
Blade Profile ◽  
Baseline Model ◽  
Exit Surface ◽  
Outlet Angle ◽  
Single Arc ◽  
Inlet Angle

The effects of single-arc blade profile length on the performance of a forward multiblade fan are investigated in this paper by computational fluid dynamics and experimental measurement. The present work emphasizes that the use of a properly reduced blade inlet angle (β1A) and properly improved blade outlet angle (β2A) is to increase the length blade profile, which suggests a good physical understanding of internal complex flow characteristics and the aerodynamic performance of the fan. Numerical results indicate that the gradient of the absolute velocity among the blades in model-L (reducing the blade inlet angle and improving blade outlet angle) is clearly lower than that of the baseline model and model-S (improving the blade inlet angle and reducing blade outlet angle), where a number of secondary flows arise on the exit surface of baseline model and model-S. However, no secondary flow occurs in model-L, and the flow loss at the exit surface of the volute (scroll-shaped flow patterns) for model-L is obviously lower than that of the baseline model at the design point. The comparison of the test results further shows that to improve the blade profile length is to increase the static pressure and the efficiency of the static pressure, since the improved static pressure of the model-L rises as much as 22.5 Pa and 26.2%, and the improved static pressure efficiency of the model-L rises as much as 5 % at the design flow rates. It is further indicated that increasing the blade working area provides significant physical insight into increasing the static pressure, total pressure, the efficiency of the static pressure and the total pressure efficiency.

Optimization of Low-Noise and Large Air Volume Blower Based on Load Characteristic

2015 ◽  
Vol 656-657 ◽  
pp. 700-705
Author(s):  
Jian Dong Chen ◽  
Bei Bei Sun
Keyword(s):  
Flow Rate ◽  
Low Noise ◽  
Aerodynamic Noise ◽  
Strong Wind ◽  
Centrifugal Fan ◽  
Fan Noise ◽  
Load Characteristic ◽  
Air Volume ◽  
Actual Working ◽  
Working Point

The blower is a kind of garden machinery, which blows strong wind to clean up leaves by a centrifugal fan, but it causes a loud aerodynamic noise. To compromise the contradiction between large air flow rate and low fan noise, some optimizations are proposed to reduce fan noise without lowering its air volume. In this paper, a CFD numerical model to compute airflow field of blower is established, where the centrifugal fan is simulated by the MRF model, and theturbulent model is selected. By smoothing the transition section, improving the volute tongue and optimizing the shape and optimizing number of fan blade, the blower work performance is increased obviously. In order to find out the actual working point, both the fan and motor load characteristic curves are drawn out. The simulation results show that, at the actual working point, the speed of the centrifugal fan is reduced, while the flow rate of blower is raised up. The optimizations are applied to the blower, and the experiment of the improved blower shows the flow rate is increased 5%, and the noise is reduced 2dB.

scholarly journals Optimization of shunt capacitive RF MEMS switch by using NSGA-II algorithm and uti-liti algorithm

2019 ◽  
pp. 43-50
Keyword(s):  
Return Loss ◽  
Rf Mems ◽  
Actuation Voltage ◽  
Design System ◽  
Nsga Ii ◽  
Rf Mems Switch ◽  
Mems Switch ◽  
Axial Residual Stress ◽  
Switch Design ◽  
Design Requirements

The present paper aimed at designing, optimizing, and simulating the RF MEMS Switch which is stimulated electrostatically. The design of the switch is located on the CoplanarWaveguide (CPW) transmission line. The pull-in voltage of the switch was 2V and the axial residual stress of the proposed design was obtained at 23MPa. In order to design and optimize the geometric structure of the switch, the desired model was extracted based on the objective functions of the actuation voltage and the return loss up-state and also the isolation down-state using the mathematical programming. Moreover, the model was solved by the NSGA-II meta-heuristic algorithm in MATLAB software. In addition, the design requirements and the appropriate levels for designing the switch were obtained by presenting the Pareto front from the beam actuation voltage and also the return loss up-state and isolation down-state. Finally, the RF parameters of the switch were calculated as S11=-2.54dB and S21=-33.18dB at the working frequency of 40GHz by extracting the appropriate parameters of the switch design through simulating a switch designed by the COMSOL Multiphysics software 4.4a and the advanced design system (ADS).

scholarly journals An Intelligent Approach for Contact Pressure Optimization of PEM Fuel Cell Gas Diffusion Layers

2020 ◽  
Vol 10 (12) ◽  
pp. 4194
Author(s):  
Yongbo Qiu ◽  
Peng Wu ◽  
Tianwei Miao ◽  
Jinqiao Liang ◽  
Kui Jiao ◽  
...  
Keyword(s):  
Fuel Cells ◽  
Fuel Cell ◽  
Contact Pressure ◽  
Gas Diffusion ◽  
Proton Exchange ◽  
Optimization Approach ◽  
Fe Model ◽  
Latin Hypercube Design ◽  
Agent Model ◽  
Intelligent Approach

The compression of the gas diffusion layer (GDL) greatly affects the electrochemical performance of proton exchange membrane fuel cells (PEMFCs) by means of both the equivalent value and distribution of contact pressure, which depends on the packing manner of the fuel cell. This work develops an intelligent approach for improving the uniformity and equivalent magnitude of contact pressure on GDLs through optimizing the clamping forces and positions on end plates. A finite element (FE) model of a full-size single fuel cell is developed and correlated against a direct measurement of pressure between the GDL and a bipolar plate. Datasets generated by FE simulations based on the optimal Latin hypercube design are used as a driving force for the training of a radial basis function neural network, so-called the agent model. Once the agent model is validated, iterations for optimization of contact pressure on GDLs are carried out without using the complicated physical model anymore. Optimal design of clamping force and position combination is achieved in terms of better contact pressure, with the designed equivalent magnitude and more uniform distribution. Results indicate the proposed agent-based intelligent optimization approach is available for the packing design of fuel cells, stacks in particular, with significantly higher efficiency.

scholarly journals Energy Efficiency Optimization Design of a Forward-Swept Axial Flow Fan for Heat Pump

2021 ◽  
Vol 9 ◽  
Author(s):  
Ke Yang ◽  
Shuiqing Zhou ◽  
Yinjie Hu ◽  
Huaxin Zhou ◽  
Weiya Jin
Keyword(s):  
Heat Pump ◽  
Flow Rate ◽  
Total Pressure ◽  
Optimization Design ◽  
Axial Flow ◽  
Kriging Model ◽  
Axial Fan ◽  
Nsga Ii ◽  
Pump System ◽  
Heat Pump System

As one of the key components of the heat pump system, compared to that of a conventional axial fan, the blade tip area of a forward-swept axial fan is much larger than its blade root, which is the main noise source of the fan and also has an important influence on the fan efficiency. Enhancement of the aerodynamic performance and efficiency of a forward-swept axial fan was addressed by utilizing the Bezier function to parameterize the forward-swept curve on blade tops. In order to quickly select an agent model suitable for the project, an ES model was established by integration of the radial basis function model and the Kriging model. When NSGA-II was combined, multi-objective optimization was carried out with the flow rate and total pressure efficiency as optimization goals. Analysis of optimization results revealed that the optimized axial flow fan’s flow rate and total pressure efficiency were improved to some degree. At the design working point, the fan’s flow rate increased by 1.78 m³/min, while the total pressure efficiency increased by 3.0%. These results lay solid foundation for energy saving of the heat pump system.

Multi Objective Optimization of a Turbomachinery Blade Using NSGA-II

2007 ◽  
Author(s):  
Abdus Samad ◽  
Kwang-Yong Kim ◽  
Ki-Sang Lee
Keyword(s):  
Total Pressure ◽  
Three Dimensional ◽  
Axial Flow ◽  
Navier Stokes ◽  
Total Efficiency ◽  
Pareto Optimal ◽  
Multi Objective Optimization ◽  
Nsga Ii ◽  
Pareto Optimal Front ◽  
Multi Objective

This work presents numerical optimization for design of a blade stacking line of a low speed axial flow fan with a fast and elitist Non-Dominated Sorting of Genetic Algorithm (NSGA-II) of multi-objective optimization using three-dimensional Navier-Stokes analysis. Reynolds-averaged Navier-Stokes (RANS) equations with k-ε turbulence model are discretized with finite volume approximations and solved on unstructured grids. Regression analysis is performed to get second order polynomial response which is used to generate Pareto optimal front with help of NSGA-II and local search strategy with weighted sum approach to refine the result obtained by NSGA-II to get better Pareto optimal front. Four geometric variables related to spanwise distributions of sweep and lean of blade stacking line are chosen as design variables to find higher performed fan blade. The performance is measured in terms of the objectives; total efficiency, total pressure and torque. Hence the motive of the optimization is to enhance total efficiency and total pressure and to reduce torque.

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

2021 ◽  
Vol 11 (17) ◽  
pp. 7784
Author(s):  
Shuiqing Zhou ◽  
Ke Yang ◽  
Weitao Zhang ◽  
Kai Zhang ◽  
Chihu Wang ◽  
...  
Keyword(s):  
Energy Saving ◽  
Total Pressure ◽  
Air Conditioning ◽  
High Efficiency ◽  
Optimization Method ◽  
Centrifugal Fan ◽  
Nsga Ii ◽  
Air Conditioning System ◽  
Building Ventilation ◽  
Fan Blade

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.

Multi-objective optimization of dual-arc blades in a squirrel-cage fan using modified non-dominated sorting genetic algorithm

2020 ◽  
Vol 234 (8) ◽  
pp. 1053-1068
Author(s):  
Xiaopei Yang ◽  
Boyan Jiang ◽  
Jun Wang ◽  
Yougen Huang ◽  
Weigang Yang ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Pareto Front ◽  
Performance Indicator ◽  
Three Dimensional ◽  
Navier Stokes ◽  
Squirrel Cage ◽  
Blade Shape ◽  
Single Arc ◽  
Geometric Variables ◽  
Dynamic Crowding Distance

In this study, a dual-arc profile parameterized by four geometric variables was designed to replace the original single-arc profile of a squirrel-cage fan used in a range hood, in order to improve the efficiency of the entire machine and the fan pressure. A modified Non-dominated Sorting Genetic algorithm coupled with a three-dimensional Reynolds-averaged Navier–Stokes computation is applied to search the optimum blade shape. Moreover, a relatively coarse but proven reliable grid model is employed to accelerate the optimization process, and a dynamic crowding distance is applied to improve the broad diversity of the Pareto front. The optimization results show that the optimal dual-arc blades are formed by a leading arc with a relatively smaller curvature and a trailing arc with a larger curvature, and the shape of the leading arc dominates the aerodynamic performance of the dual-arc blade. The blade schemes at two end of the Pareto front have increased the fan pressure and efficiency at the optimization point by 5.3% and 1.5%, respectively, but also result in a decline in another performance indicator. The best compromised solution in the middle of the Pareto front has improved the pressure by 2.6% without reducing the efficiency in the numerical calculation. Compared with the single-arc blade with the same inlet and outlet angle, the dual-arc blade has a higher fan pressure, but at the same time, the efficiency is negatively affected. Finally, the new impeller with optimized dual-arc blades is manufactured and tested, and the experimental results show an increment exceeds 2% in pressure and an unexpected slightly improvement in fan efficiency.

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