Research on the Statistics of Grain Lattice Echoes and Their Use in Grain Size Estimation and Grain Echo Suppression.

Abstract

In NDE, a need exists for signal-to-noise ratio enhancement for noisy materials like centrifugally cast stainless steel, composite materials, some types of welded joints etc., because, the echoes of interest in the signal will be sometimes completely obsured by noise. Split spectrum processing is a signal processing technique for the signal-to-noise ratio enhancement in ultrasonic signals. The method utilizes the frequency dependent response of the interfering coherent noise produced by unresolvable scatterers in the resolution range cell. It is implemented by 'splitting' the frequency spectrum of the received signal by using Gaussian, overlapping bandpass filters and hence the name. Results of signal-to-noise ratio enhancement in signals obtained from real samples of centrifugally cast stainless steel, Carbon-Epoxy composite material and a 1020 steel welded joint are presented. The influence of various processing parameters on the performance of the processing technique is also discussed. An empirical algorithm, 'Polarity Thresholding', which provides an excellent signal-to-noise ratio enhancement when used in conjunction with 'Minimization' is also presented.

Document Details

Document Type
Technical Report
Publication Date
Dec 31, 1986
Accession Number
ADA176996

Entities

People

  • Robert C. Disque
  • V. L. Newhouse

Organizations

  • Drexel University

Tags

DTIC Thesaurus Topics

  • Bandpass Filters
  • Composite Materials
  • Epoxy Composites
  • Frequency
  • Grain Size
  • Joints
  • Materials
  • Signal Processing
  • Spectra
  • Stainless Steel
  • Steel
  • Welded Joints

Fields of Study

  • Materials science

Readers

  • Metallurgy
  • Radar Systems Engineering.