A Methodology for the Assessment of the Capability of Inspection Systems for Detection of Subsurface Flaws in Aircraft Turbine Engine Components

Abstract

A new methodology for determining probability of detection is described. Physical models are used heavily during the inspection process to minimize the amount of empirical data that must be gathered. This report includes a general review of various methodologies for determining probability of detection as well as a detailed discussion of the new approach that is being applied to the ultrasonic detection of internal inclusions in the rotating components of aircraft engines. Results of its application to the ultrasonic detection of flat-bottom holes and synthetic hard-alpha inclusions in laboratory measurements on flat plate samples are presented as well as a comparison to results obtained by other methodologies. This report summarizes the ongoing experiments and analysis aimed at validating the methodology of full geometry components in an industrial setting and extending its predictions to the detection of naturally occurring flaws. New tools will further reduce the need for empirical experiments through the use of physical models of microstructural effects on the ultrasonic response are included.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2002
Accession Number
ADA407952

Entities

People

  • C. -p. Chiou
  • J. H. Rose
  • R. H. Burkel
  • T. K. Keyes
  • W. Q. Meeker

Organizations

  • General Electric

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Acoustic Properties
  • Aircrafts
  • Composite Materials
  • Computational Science
  • Data Acquisition
  • Data Science
  • Data Sets
  • Databases
  • Detection
  • Distribution Functions
  • Information Science
  • Mathematical Models
  • Probability Density Functions
  • Random Variables
  • Statistical Distributions
  • Test And Evaluation
  • Turbines

Readers

  • Computational Modeling and Simulation
  • Sensor Fusion and Tracking Systems.
  • Systems Analysis and Design