2019
DOI: 10.1016/j.apacoust.2018.12.012
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Numerical simulation and laboratory measurements on the influence of fractal dimension on the acoustic beam modulation of a Polyadic Cantor Fractal lenses

Abstract: The possibility of modulating the ultrasound beam produced by a transducer through lenses has become an important task. The fact that these lenses are flat, facilitates their design, construction and applications. If, in addition, the design itself incorporates geometries that affect differently the foci profile on the axial axis of the lens, improvements become more significant. In this work the design of a flat lens based on a Polyadic Cantor fractal geometries is presented. The influence of the so-called fr… Show more

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Cited by 3 publications
(2 citation statements)
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“…However, there exist in nature attractors with self‐similarities; this class cannot be captured neither with classical differentiation nor with classical fractional and new trends in fractional differentiation and integration. Many technics have been suggested to solve and model such problems; for instance, the concept of fractal including Julia set, the Mandelbrot set, and many other sets has been used to capture self‐similarities, but those self‐similarities do not come from chaotic attractors, neither they come from mathematical models 7–14 . Additionally, these self‐similarities obtained from these complex sets cannot be used to predict the evolution in time, as they are not time dependent; however, they are very useful for other purpose.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…However, there exist in nature attractors with self‐similarities; this class cannot be captured neither with classical differentiation nor with classical fractional and new trends in fractional differentiation and integration. Many technics have been suggested to solve and model such problems; for instance, the concept of fractal including Julia set, the Mandelbrot set, and many other sets has been used to capture self‐similarities, but those self‐similarities do not come from chaotic attractors, neither they come from mathematical models 7–14 . Additionally, these self‐similarities obtained from these complex sets cannot be used to predict the evolution in time, as they are not time dependent; however, they are very useful for other purpose.…”
Section: Introductionmentioning
confidence: 99%
“…Many technics have been suggested to solve and model such problems; for instance, the concept of fractal including Julia set, the Mandelbrot set, and many other sets has been used to capture self-similarities, but those self-similarities do not come from chaotic attractors, neither they come from mathematical models. [7][8][9][10][11][12][13][14] Additionally, these self-similarities obtained from these complex sets cannot be used to predict the evolution in time, as they are not time dependent; however, they are very useful for other purpose. Up to 2016, the question was still unsolved as these types of differential and integral operators were not available in literature.…”
Section: Introductionmentioning
confidence: 99%