Turbine cascade molded line parametric reconstruction method based on crowd search algorithm

A crowd search and parametric technology, applied in computational models, calculations, artificial life, etc., can solve problems such as difficulty in applying optimal blade design, and difficulty in parametric modeling of blade forming methods.

Pending Publication Date: 2020-12-22
NAVAL UNIV OF ENG PLA
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Problems solved by technology

The above-mentioned blade forming methods are difficult to achieve parametric modeling, and it is difficult to apply to the optimal design of blades

Method used

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  • Turbine cascade molded line parametric reconstruction method based on crowd search algorithm
  • Turbine cascade molded line parametric reconstruction method based on crowd search algorithm
  • Turbine cascade molded line parametric reconstruction method based on crowd search algorithm

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Embodiment Construction

[0058] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0059] A method for parameterized reconstruction of steam turbine cascade profiles based on a crowd search algorithm, comprising the following steps:

[0060] Step 1: The profile of the steam turbine blade includes four curves including leading edge arc curve DE, trailing edge arc curve GH, suction edge curve GD and pressure edge curve HE (see figure 1 ), describe the coordinate equations of the pressure edge curve H and the suction edge curve GD based on cubic Bezier curves, the leading edge arc curve DE and the trailing edge arc curve GH are expressed by the circular curve equation, and the four curves are given coordinate equation.

[0061] The pressure edge curve HE is controlled by polygonal vertices H, W 1 , W 2 , E constituted cubic Bezier curve description, its coordinate parameter equation is:

[0062]

[0063] Suction...

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Abstract

The invention discloses a turbine cascade molded line parametric reconstruction method based on a crowd search algorithm. The method comprises the following steps: dividing a turbine blade molded lineinto a leading edge arc curve, a trailing edge arc curve, a suction edge curve and a pressure edge curve, and giving coordinate equations of the four curves; solving a coordinate expression of a polygon control vertex for describing the pressure side curve and the suction side curve and front and rear edge tail edge circle center coordinate points according to the geometrical relationship; substituting the coordinate points into coordinate equations of the four curves to form a parameterized expression of the blade profile; and finding parameters of the cubic Bezier curve parameterized expression of the prototype blade through an SOA optimization algorithm, and further acquiring the cubic Bezier curve and arc curve parameterized expression of a prototype blade molded line. Parameterization expression of the blade molded line can be achieved according to basic geometrical parameters of the turbine blade, the parameterization expression can be fused with the SOA algorithm to achieve intelligent reconstruction of the turbine blade molded line, the convergence speed of the blade profile reconstruction method is high, and the convergence result is more stable.

Description

technical field [0001] The invention belongs to the technical field of steam turbine cascade profile design, and in particular relates to a method for parameterized reconstruction of steam turbine cascade profile lines based on a crowd search algorithm. Background technique [0002] Steam turbine blades are the core components of thermal power conversion, nuclear power and marine steam turbines. At present, steam turbines are often operated under extreme variable conditions, and their blades are subjected to local large steam force impacts, shedding flutter, backflow corrosion, and blast thermal deformation. etc. Some high-power single-cylinder steam turbine blades are subjected to the erosion of high-humidity steam, which will directly affect the performance of the entire steam turbine such as efficiency, power, safety, reliability, and life. Therefore, it is of great significance to carry out the optimization design of steam turbine blades to ensure the economy, reliabilit...

Claims

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Application Information

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IPC IPC(8): G06F30/17G06F30/20G06N3/00
CPCG06F30/17G06F30/20G06N3/004Y02T90/00
Inventor 杨自春张磊陈国兵李彬李昆锋孙文彩李军费志方陈俊
Owner NAVAL UNIV OF ENG PLA
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