Characterizing Randomly Anisotropic Surfaces in Eddy-Current NDE (Preprint)

Abstract

This research is motivated by two distinct considerations: the ability to model noise in Ti-6Al-4V, and to characterize surfaces that have undergone treatment due to shot-peening, low-plasticity burnishing, etc. We will show that with a single model we can analyze these sources of noise and develop a protocol and system requirements for detecting and inverting flaws in a random background. An important result of this study is the application of simple statistical theory toward the development of estimation-theoretic metrics.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2011
Accession Number
ADA553611

Entities

People

  • Elias H. Sabbagh
  • Harold A. Sabbagh
  • John C. Aldrin
  • R. K. Murphy

Tags

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Air Force Research Laboratories
  • Conductivity
  • Crystal Structure
  • Eddy Currents
  • Finishes
  • Inverse Problems
  • Inversion
  • Military Research
  • Probability
  • Random Variables
  • Roughness
  • Statistics
  • Stochastic Processes
  • Surface Properties
  • Surface Roughness

Readers

  • Computational Modeling and Simulation
  • Statistical inference.
  • Structural Health Monitoring of Composite Structures.