Predicting ultrasonic grain noise in polycrystals: A Monte Carlo model

Journal Article · Sat Jun 01 00:00:00 EDT 1996 · Journal of the Acoustical Society of America

DOI:https://doi.org/10.1121/1.414991· OSTI ID:264044

Yalda, I; Margetan, F J; Thompson, R B ^[1]

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1. Iowa State Univ., Ames, IA (United States)

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. 35 refs., 11 figs.

• Sponsoring Organization: USDOE
• DOE Contract Number: W-7405-ENG-82
• OSTI ID: 264044
• Journal Information: Journal of the Acoustical Society of America, Journal Name: Journal of the Acoustical Society of America Journal Issue: 6 Vol. 99; ISSN 0001-4966; ISSN JASMAN
• Country of Publication: United States
• Language: English

Related Subjects

44 INSTRUMENTATION
INCLUDING NUCLEAR AND PARTICLE DETECTORS
66 PHYSICS
99 GENERAL AND MISCELLANEOUS
BACKSCATTERING
GRAIN DENSITY
INSPECTION
MATHEMATICAL MODELS
MICROSTRUCTURE
MONTE CARLO METHOD
POLYCRYSTALS
ULTRASONIC TESTING
ULTRASONIC WAVES