Grain structure Identification by UltraSound Frequency Averaging and Deconvolution.

Abstract

The objective of this research program was to develop a technique to nondestructively measure average grain size as a function of position and to also provide some measure of the size distribution of the scatterers. To nondestructively evaluate the microstructure, the material was probed using broad-band ultrasound. The resulting backscattered ultrasound echoes were then processed to obtain the required microstructure parameters by applying techniques adapted from our previous work on Flaw Enhancement in large grain materials. Previous work on nondestructive microstructure evaluation has centered on obtaining a single parameter related to the average grain size in a relatively large volume of material. In contrast, this research effort was directed toward evaluating the local microstructure of the material as function of position. This does not imply a point-by-point mapping of grain size, but rather the evaluation of grain statistics within small volumes of the bulk material.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1983
Accession Number
ADA134054

Entities

People

  • E. S. Furgason

Organizations

  • Purdue University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Acoustic Waves
  • Algorithms
  • Bulk Materials
  • Computers
  • Correlation Techniques
  • Detection
  • Electrical Engineering
  • Engineering
  • Grain Size
  • Materials
  • Radar
  • Scattering
  • Scattering Cross Sections
  • Signal Processing
  • Ultrasonics
  • Ultrasounds

Fields of Study

  • Materials science

Readers

  • Acoustical Oceanography.
  • Materials Science (Mechanical Engineering).
  • Systems Analysis and Design