2010
DOI: 10.1016/j.ultras.2009.12.003
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Numerical simulation of electromagnetic acoustic transducers using distributed point source method

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Cited by 16 publications
(7 citation statements)
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“…For the UT simulation, an analytical ultrasonic model is built to calculate the Rayleigh waves' displacement produced by the Lorentz force densities. A semi-analytical technique, named distributed point source method (DPSM), was introduced by Placko and Kundu in 2001 [36], and it has been proved that DPSM is a highly efficient method for solving EMAT problems with the advantage of less mesh size over FEM and guarantees good results for the non-flat transducer face [37,38]. It will be worth comparing the results based on FEM and those based on DPSM in the future.…”
Section: Resultsmentioning
confidence: 99%
“…For the UT simulation, an analytical ultrasonic model is built to calculate the Rayleigh waves' displacement produced by the Lorentz force densities. A semi-analytical technique, named distributed point source method (DPSM), was introduced by Placko and Kundu in 2001 [36], and it has been proved that DPSM is a highly efficient method for solving EMAT problems with the advantage of less mesh size over FEM and guarantees good results for the non-flat transducer face [37,38]. It will be worth comparing the results based on FEM and those based on DPSM in the future.…”
Section: Resultsmentioning
confidence: 99%
“…Various improvements on DPSM were carried out to make this technique more accurate and/or efficient, such as G-DPSM and ESM [5] and transient DPSM analysis without going through Fast Fourier Transform [6]. Then this DPSM technique was used to solve different ultrasonic and electromagnetic field modeling problems for NDE (nondestructive evaluation) applications [5][6][7][8][9][10][11][12][13][14].…”
Section: C Modelingmentioning
confidence: 99%
“…DPSM (Distributed Point Source Method) is a mesh-free semi-analytical technique used to solve a variety of engineering problems in acoustic, magnetic, electrostatic and other engineering fields [1][2][3][4][5][6][7][8]. The input data are the material properties, the problem dimensions, boundary conditions of the involved elements like the sensors, and other relevant parameters like the frequency.…”
Section: Dpsm Examplementioning
confidence: 99%