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Article
Predicting ultrasonic grain noise in polycrystals: A Monte Carlo model
Journal of the Acoustical Society of America
  • Isaac Yalda, Iowa State University
  • R. Bruce Thompson, Iowa State University
  • Frank J. Margetan, Iowa State University
Document Type
Article
Publication Date
6-1-1996
DOI
10.1121/1.414991
Abstract
A Monte Carlo technique is described for predicting the ultrasonic noise backscattered from the microstructure of polycrystalline materials in a pulse/echo immersion inspection. Explicit results are presented for equiaxed, randomly oriented aggregates of either cubic or hexagonal crystallites. The model is then tested using measured noise signals. Average and peak noise levels and the distribution of the noise voltages are studied as the density of grains changes.
Comments

This article is from Journal of the Acoustical Society of America 99, no. 6 (1996): 3445–3455, doi:10.1121/1.414991.

Copyright Owner
Acoustical Society of America
Language
en
Date Available
February 20, 2013
File Format
application/pdf
Citation Information
Isaac Yalda, R. Bruce Thompson and Frank J. Margetan. "Predicting ultrasonic grain noise in polycrystals: A Monte Carlo model" Journal of the Acoustical Society of America Vol. 99 Iss. 6 (1996) p. 3445 - 3455
Available at: http://works.bepress.com/rbruce_thompson/35/