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Optimization method of model-unknown gas turbine blade digital ray partition transillumination direction

A gas turbine blade and digital ray technology, which is applied in the fields of electrical digital data processing, design optimization/simulation, special data processing applications, etc., can solve problems such as inability to achieve optimization, large randomness, etc., reduce detection costs, and the method is simple and easy Line, eliminate the effect of overlapping volumes

Active Publication Date: 2018-06-29
XI AN JIAOTONG UNIV
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AI Technical Summary

Problems solved by technology

There is no clear requirement for the direction of transillumination, and the randomness is large, and the transillumination is from the same direction, so the optimization of the transillumination direction of each partition cannot be achieved

Method used

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  • Optimization method of model-unknown gas turbine blade digital ray partition transillumination direction
  • Optimization method of model-unknown gas turbine blade digital ray partition transillumination direction
  • Optimization method of model-unknown gas turbine blade digital ray partition transillumination direction

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Embodiment Construction

[0040] For the digital ray detection of large gas turbines in practical engineering applications, the blades are partitioned first, and then each partition of the blade is transilluminated from the same direction, and the transillumination direction is not optimal. The present invention provides a model The optimization method for the transillumination direction of digital ray divisions of unknown gas turbine blades. Since the greater the transillumination thickness, the lower the transillumination sensitivity and the lower the ability to detect small defects, the optimization criterion is the transillumination with the smallest transillumination thickness in each segment. The direction is the optimal transillumination direction. Using the original partition method of the leaf and the transillumination parameters of each partition, the obtained transillumination image is a negative image with a higher ray intensity and a larger gray value.

[0041] see figure 1 A ray source is...

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Abstract

The invention discloses an optimization method of a model-unknown gas turbine blade digital ray partition transillumination direction. The method comprises the following steps: transilluminating a flat panel detector, and determining the gray scale linear response interval of the flat panel detector; transilluminating each partition of the blade from different angles; drawing a relation curve about the gray scale minimum and angle change of each partition of the blade, and determining the optimal transillumination direction of each partition; splicing the transformed transillumination images of all partitions to obtain a transillumination image of the blade; processing the overlap region image of each partition; calculating the cross-partition defect overlap volume by an approximation algorithm; subtracting the defect volume of the overlap region from the total defect volume obtained from each partition, to obtain the real volume of the blade defect and realize optimization of the transillumination direction. In the invention, the detection efficiency of tiny defects is increased, the design of complicated furniture is avoided, and the detection cost is lowered; and moreover, the universality is high, and a foundation is laid for the locating and qualitative and quantitative analysis of the defect.

Description

technical field [0001] The invention belongs to the technical field of industrial ray nondestructive testing, and in particular relates to an optimization method for the digital ray zone transillumination direction of a gas turbine blade with an unknown model. Background technique [0002] A gas turbine is a rotary impeller power machine that uses continuously flowing gas as a working medium to drive the impeller to rotate at high speed, thereby converting the energy of the fuel into useful work. It is widely used in various fields. Gas turbine blades are usually manufactured by precision casting, and they need to interact with high-temperature, high-pressure, and high-speed gas media during the working process. Therefore, during the manufacturing and service stages, various types of blades such as shrinkage cavities, shrinkage porosity, cracks, and inclusions may occur. form of defects. These defects will seriously affect the working performance, service life and safety an...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/23
Inventor 李兵李章兵陈磊周浩李应飞魏翔
Owner XI AN JIAOTONG UNIV
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