Full
Outline
Addressing the issues inherent in traditional aerodynamic design methods for blades—such as reliance on designer experience, long development cycles, and difficulty in ensuring design precision—this study applies an optimal surrogate model optimization method to the impeller optimization of a centrifugal blower. By parameterizing the design of a small centrifugal blower and using the Advanced Latin Hypercube Sampling (ALHS) method to sample 36 parameters from the meridional profile, inlet and outlet blade angles, and blade surface twist angle, 200 sets of blower performance data were constructed through numerical simulations. Based on this data, the optimal surrogate model (MOP) was employed to identify the 9 parameters that most significantly impact blower performance. Subsequently, an evolutionary algorithm (EA) was utilized to iteratively compute the optimal values of these 9 parameters, with the objective of maximizing isentropic efficiency and constraining the inlet-outlet pressure difference. A comparative analysis of the flow fields before and after optimization was conducted. The results demonstrate that the optimized blower suppressed tip leakage flow, reducing the tip leakage flow rate by 10% compared to the original model. At the mid-span of the impeller (at 55% of the meridional streamline), the maximum fluid velocity along the blade height decreased from 101.66 m/s to 82.06 m/s after optimization, and the velocity variation ΔV reduced from 53.52 m/s to 40.74 m/s, indicating reduced flow losses. Additionally, the maximum pressure at the impeller outlet increased from 115.37 kPa to 116.19 kPa. The optimal surrogate model effectively filters out non-critical input parameters during the optimization process, thereby reducing optimization costs and time. The findings of this research provide a reference for the optimal design of centrifugal blowers.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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