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3D positioning of defects for gas turbine blades based on digital radiographic projective imaging

  • Lei Chen
  • , Bing Li
  • , Lei Zhang
  • , Zhongyu Shang
  • Xi'an Jiaotong University

Research output: Contribution to journal › Article › peer-review

17 Scopus citations

Abstract

During the manufacturing and service process of gas turbine blades, various types of defects may be formed and bring huge threat to the safe operation of gas turbine. To confirm whether the gas turbine blades with defects could be in safe service for some period of time, the residual strength and fatigue life of gas turbine blade should be analyzed and predicted based on the 3D spatial position of defect, which significantly determines the degree of effect on the strength of gas turbine blade. Considering the characteristics of shape (free-from surface) and material (high density superalloy), the digital radiographic imaging techniques could be used in the non-destructive testing of gas turbine blades. However, the projective nature of digital radiography (DR) technique results in the unavailability of position in the transmitting direction of X-ray beam and brings difficulty to the 3D characterization of defect. Aiming at this critical issue, based on the exploration of the changing rule for the projection of a point feature relative to the irradiating angle, a new method is presented to obtain the 3D spatial position of defect. Finally, the accuracy of the proposed method is validated using a metrological computed tomography (CT) system. It can be learned that the proposed DR based method could obtain the 3D spatial position of defect with a relative error less than 2%. The 3D spatial position of defect could be used in the following residual strength analysis and fatigue life prediction of gas turbine blade.

Original languageEnglish
Article number102751
JournalNDT and E International
Volume133
DOIs
StatePublished - Jan 2023

Keywords

  • 3D spatial position
  • Defect
  • Digital radiography
  • Gas turbine blade
  • Non-destructive testing

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