Zoning method for gas turbine high temperature blade digital radiography detection with unknown model
A technology of gas turbine and digital ray, which is applied in the direction of material analysis using radiation, etc., can solve the problems of large randomness and failure to realize the optimization of blade partitioning, etc., the method is simple and easy to achieve, the partitioning scheme is reasonable and reliable, and the characteristic is reduced overlapping effect
Active Publication Date: 2018-12-07
XI AN JIAOTONG UNIV
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Problems solved by technology
The traditional partitioning method is to determine a set of feasible partitioning schemes based on manual experience through multiple experiments, which is relatively random and fails to achieve the optimization of blade partitioning.
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[0061] see figure 1 , the blade digital ray detection system adopted by the present invention includes a computer 3, a detector 5, a turntable 2, a blade 1 and an X-ray tube 4, the blade 1 is arranged on the turntable 2, and the X-ray tube 4, the turntable 2 and the detector 5 are respectively connected with Computer 3 is connected to make up the detection system, see figure 2 , the blade 1 includes the blade body, the blade platform and the blade root in sequence from top to bottom. In the structure and thickness distribution of the blade 1, a, b, c, d, e, and f are the equal thicknesses of the projected thickness of the blade 1 in this direction Line, a>b>c>d>e>f.
[0062] The invention provides a digital ray detection partition method for gas turbine high-temperature blades with unknown model. First, the linear response gray scale range of the flat panel detector is determined by the change of the response of the flat panel detector with the tube current; then, by establi...
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The invention discloses a zoning method for gas turbine high temperature blade digital radiography detection with an unknown model. The method includes determining the linear response gray scale of aflat panel detector according to the variation of flat panel detector response situations with tube currents, taking the maximum projection area of a blade-shaped face on the flat panel detector as reference, and determining the optimal transillumination direction of the blade by establishing the relation between the projection area of the blade-shaped face on the flat panel detector and a rotation angle of a rotary table; and taking a transillumination grayscale image of a gray value within the 2 / 3 areas of the linear response gray scale center of the flat panel detector as a qualified imageto determine blade transillumination zoning, and performing zoning on the whole blade-shaped face. The method is simple and easy to operate in actual operation; and compared with traditional methods of roughly determining zoning schemes through tests based on personal experience, zoning schemes obtained by the method are reasonable and reliable, and transillumination grayscale images with higher quality can be hopefully obtained.
Description
technical field [0001] The invention belongs to the technical field of industrial ray non-destructive testing, and in particular relates to a digital ray detection partition method for gas turbine high-temperature blades with unknown models. Background technique [0002] The gas turbine is a new generation of rotary power machinery after the steam turbine and the internal combustion engine. Gas turbines use high temperature, high pressure and high speed gas working medium to drive the impeller to rotate to perform work, and are widely used in various fields such as navigation and power generation. Gas turbine high-temperature blades (hereinafter referred to as "blade") are usually made of nickel-based superalloy by means of precision casting. They are one of the main core components of gas turbines, and their mechanical properties have an important impact on the safe operation of the entire gas turbine unit. The working environment of the blade is harsh, and it not only bea...
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IPC IPC(8): G01N23/04
CPCG01N23/04
Inventor 李兵李章兵陈磊尚中昱李应飞魏翔
Owner XI AN JIAOTONG UNIV