1999
DOI: 10.1007/pl00003918
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Modeling the Ultrasonic Radiation of a Planar Transducer Through a Plane Fluid—Solid Interface

Abstract: Three types of transducer beam models are developed for obtaining the bulk waves generated by a plane piston transducer radiating through a planar fluid-solid interface. The first type, called the surface integral model, is based on a Rayleigh-Sommerfeld-like integral that requires a two-dimensional surface integral to be evaluated. The second model, called the boundary diffraction wave (BDW) paraxial model, simplifies the two-dimensional integration of the surface integral model to a one-dimensional line inte… Show more

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Cited by 4 publications
(2 citation statements)
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“…The approximate displacement field can be used to predict ultrasonic beam radiation from a planar transducer. A good review of various methods in modelling ultrasonic radiation from a planar transducer through fluid-solid interface problem was written by Lerch et al [17]. We use a surface integral model derived by Schmerr et al [14], which will be called the Approximate Wave Solution abbreviated as AWS, to improve the quality of flaw images by SAFT.…”
Section: Approximate Wave Solution (Aws) For Ultrasonic Beam Radiatiomentioning
confidence: 99%
See 1 more Smart Citation
“…The approximate displacement field can be used to predict ultrasonic beam radiation from a planar transducer. A good review of various methods in modelling ultrasonic radiation from a planar transducer through fluid-solid interface problem was written by Lerch et al [17]. We use a surface integral model derived by Schmerr et al [14], which will be called the Approximate Wave Solution abbreviated as AWS, to improve the quality of flaw images by SAFT.…”
Section: Approximate Wave Solution (Aws) For Ultrasonic Beam Radiatiomentioning
confidence: 99%
“…Constants used in MSSIM calculation throughout this paper are K 1 = 0.01, K 2 = 0.03 and L = 1. μ x and μ y in Eq. (17) are mean intensities of images and can be calculated from Eq. (20)…”
Section: Appendix: Mean Structural Similarity (Mssim) Indexmentioning
confidence: 99%