Predicting ultrasonic grain noise in polycrystals: A Monte Carlo modelJournal of the Acoustical Society of America
AbstractA 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.
Copyright OwnerAcoustical Society of America
Date AvailableFebruary 20, 2013
Citation InformationIsaac 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/