Gas turbine blade defect detection technology

Abstract

The invention provides a gas turbine blade defect detection technology, and relates to the technical field of gas turbine blade detection. The technology comprises the following steps: 1, making an auxiliary sample, wherein the auxiliary sample is provided with a plurality of sets of simulated defects; 2, detecting the auxiliary sample by using an array eddy current detector, and recording a detection signal obtained in the detection process; and 3, detecting the gas turbine blade by the array eddy current detector, recording a detection signal obtained in the observation and detection process, comparing the detection signal of the gas turbine blade with the detection signal of the auxiliary sample, and analyzing the position and the size of a defect on the gas turbine blade. The gas turbine blade defect detection technology can realize the nondestructive detection of the gas turbine blade, and also can clearly know the position of the defect, quantify the size of the defect and realize the qualitative diagnosis of the defect.

Description

technical field [0001] The invention relates to the technical field of gas turbine blade detection, in particular to a gas turbine blade defect detection process. Background technique [0002] Due to its complex structure, harsh working conditions and various stress states, gas turbine blades will have various defects during operation. The structure of gas turbine blades is complex, the outer surface is uneven, and the size of gas turbine blades is small, and the gap between the two-stage blades is small, which makes in-service detection very difficult. At this stage, the first two-stage blades of the turbine The detection method is visual, which can only detect the defects of the surface ceramic layer, and it is difficult to quantify the size of the defects, which is very unfavorable for the life evaluation of the unit components and the safe operation of the unit. Moreover, during visual inspection, the detection space is narrow due to the small gap between the two-stage ...

AI Technical Summary

Problems solved by technology

The structure of gas turbine blades is complex, the outer surface is uneven, and the size of gas turbine blades is small, and the gap between the two-stage blades is small, which makes in-service detection very difficult. At this stage, the first two-stage blades of the turbine The detection method is visual, which can only detect the defects of the surface ceramic layer, and it is difficult to quantify the size of the defects, which is very unfavorable for the life evaluation of the unit components and the safe operation of the unit

Moreover, during visual inspection, the detection space is narrow due to the small gap between the two-stage blades, which may easily cause missed inspections and seriously affect the life evaluation of the unit components and the safe operation of the unit

In addition, visual inspection is labor-intensive and inefficient

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