Review of Progress in Quantitative Nondestructive Evaluation 1993
DOI: 10.1007/978-1-4615-2848-7_224
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Relationships Between Ultrasonic Noise and Macrostructure of Titanium Alloys

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Cited by 5 publications
(5 citation statements)
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“…Within these regions are much smaller alpha (hexagonal) and beta grains, the former having a needle-like appearance with diameters of a few microns and lengths on the order of 100 microns. X-ray diffraction studies on similar specimens [9) suggest that there is partial alignment of crystalline axes for grains within a given PBG.…”
Section: Determination Of Effective Attenuationmentioning
confidence: 98%
“…Within these regions are much smaller alpha (hexagonal) and beta grains, the former having a needle-like appearance with diameters of a few microns and lengths on the order of 100 microns. X-ray diffraction studies on similar specimens [9) suggest that there is partial alignment of crystalline axes for grains within a given PBG.…”
Section: Determination Of Effective Attenuationmentioning
confidence: 98%
“…Since ultrasonic grain noise from a metal contains an useful information about the microstructure of a material (3) , this information can be very helpful during detecting defects in materials with unknown (varying) microstructure. The ultrasonic grain noise, although temporally stable, is spatially random and therefore, its properties are estimated statistically in space.…”
Section: Evaluating Ultrasonic Grain Noise In Polycrystalline Metalsmentioning
confidence: 99%
“…Grains in a polycrystalline metal act as irresolvable scatterers that produce coherent interference appearing as grain noise in ultrasonic A-scan and B-scan signals. Grain noise, although undesired in defect detection, is an useful signal containing the information related to the microstructure of materials (3) . A big body of literature on the subject of material characterization by making use of ultrasonic attenuation and scattering is available.…”
Section: Introductionmentioning
confidence: 99%
“…Numerous papers document use of the ISM to predict absolute grain noise levels within a small margin of error (see, for example, , Thompson, Rose and Ahmed (1992), Thompson, Margetan, Han, Paxson and Shamblem (1992), Yalda-Mooshabad, Margetan, Gray and Thompson (1992a,b), Margetan, Thompson and Yalda-Mooshabad (1993), Han, Thompson, Margetan and Rose (1993), ), and . Additionally, Rose (1995) has applied the ISM to myocardial tissue characterization.…”
Section: Independent Scatterer Model For Polycrystalsmentioning
confidence: 99%