Aerodynamic optimization method of radial turbine based on data dimensionality reduction and multiple two-dimensional flow surfaces
A data dimensionality reduction, turbo-pneumatic technology, applied in special data processing applications, engine components, machines/engines, etc., can solve the problems of insufficient number of samples, many design variables, slow optimization process, etc., to reduce computing resources, reduce Calculation time, effect of significant engineering significance
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[0033] The present invention will be further described below in conjunction with accompanying drawing.
[0034] refer to figure 1 , the present invention is based on data dimension reduction and multiple two-dimensional flow surface radial flow turbine aerodynamic optimization method, comprising the following steps:
[0035]1. Determine the design variables required for the optimization of the stator blade shape, perform data dimension reduction on the design variables, complete parametric modeling, and finally form a one-dimensional design variable matrix x s =(x 1 ,x 2 ,...,x s ).
[0036] Take the diffuser blade shape of a centrifugal compressor as an example, such as figure 2 , since the vane is usually a straight blade, the dimensionality reduction of the vane only needs to select a section of the vane arbitrarily, and the axial coordinate Z remains unchanged at this time. At this point the leading edge segment (10% chord length) is 0-y 1 , leaf body section (80% ...
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