Abstract
In this study, the blade shape of the squirrel-cage fan system inside the range hood was optimized using the surrogate model to improve the maximum volume flow rate. The influence of computational fluid dynamics (CFD) noise was concerned. The regression Kriging model (RKM) was used as a surrogate model to reflect the relationship between the design parameters of the blade and the volume flow rate. The parallel filling criterion after re-interpolation was used to improve the optimization efficiency further and ensure global optimization. Through experimental verification, we found that the relative error between the volume flow rate of the optimal sample of RKM and the experiment was only 0.4%. Compared with the prototype, the maximum volume flow rate of the optimal sample of RKM was increased by 2.9%, and the efficiency under the corresponding working conditions was increased by 2%. RKM was used to predict the velocity field of the volute and impeller exit section to explore the feasibility of the RKM in the flow field prediction. Research shows that the RKM cannot accurately predict the velocity of each grid on the cross-section. Still, it can accurately predict the changing trend of the velocity.
Highlights
The range hood is almost a necessary product in the kitchen to reduce the harm of lampblack to human beings
Aerodynamic analysis and optimization methods based on highly reliable computational fluid dynamics (CFD) are often used to improve the volume flow and efficiency
Conditions, the volume flow rate of the optimal sample of regression Kriging model (RKM) and the optimal sample of CFD were increased by 2.9% and 3%, respectively, and the efficiency increased by 1.8% and
Summary
The range hood is almost a necessary product in the kitchen to reduce the harm of lampblack to human beings. The squirrel-cage fan system mainly undertakes the internal ventilation function. The typical characteristics of a squirrel-cage fan are a large blade exit angle (strong forward blade), many blades (up to 60 pieces), and a short blade path. Aerodynamic analysis and optimization methods based on highly reliable computational fluid dynamics (CFD) are often used to improve the volume flow and efficiency. Due to the complexity of the structural design of the range hood, a large number of grid and computing resources are needed to obtain the reliable three-dimensional flow inside the squirrel-cage fan system. Under the background of exploiting the range hood’s potential improvement, the way in which to solve the contradiction between the CFD-based method to obtain the optimal design parameters and computing resources is one of the most critical problems
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