Full
Outline
Aiming at the problem that traditional discrete particle swarm optimization algorithm is prone to getting stuck in local optima and unable to obtain the global optimal value in the aerodynamic optimization design process of centrifugal compressors，an improved discrete particle swarm algorithm is proposed by introducing chaos operators，redefining learning factors and inertia weights，and combining control parameter descent strategy，as well as optimizing position probability iteration formula and other methods.Based on expanding the optimization range，the algorithm effectively balanced the global search ability and the local search ability，solving the problem of getting stuck in local extremums.The algorithm was adopted to conduct optimization design research on a certain centrifugal compressor.The results show that compared with the traditional particle swarm optimization algorithm，the improved algorithm can achieve a better aerodynamic design and effectively control the flow field separation at the impeller outlet.Under the premise of little change in pressure ratio，the isentropic efficiency increased from 85.7% to 88.7%.The research results can provide reference for the aerodynamic optimization of centrifugal compressors，and can also be applied to the aerodynamic optimization design of axial compressors and radial and axial turbines.
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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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