High-dimensional optimization and selection method of impeller for multi-layer perceptual structure
A multi-layer perception and impeller technology, applied in the field of big data learning model, can solve the problem that the impeller of rotating machinery cannot obtain the optimal solution accurately and efficiently, so as to shorten the design cycle and ensure the design accuracy
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[0089] In this example, the optimally designed original rotating machine is a low specific speed centrifugal pump with a single-stage cantilever structure. The impeller of the pump has 5 blades, and the design speed is n =1450rpm. Key performance parameters include design flow Q d =100m3 / h, lift H d =50m, specific speed N S =46.9. NPSH ( NPSH) The rated value is recorded as the rated NPSH ( NPSH r), in this example NPSH r is 3m. figure 2 and Table 1 give the geometry of the LSSCP and the main profile parameters of the impeller, respectively. The calculation domain adopts a non-simplified model considering the flow field between the volute and the impeller gap to improve the calculation accuracy.
[0090] Table 1 Main profile parameters of the impeller
[0091] Model Line Parameters value impeller inlet diameter D 1 (mm)
[0092] The range of the main profile parameters is determined according to the fluid characteristics, design specific...
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