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Article

Multiparameter Analysis of the Ultrasonic Transducer Transfer Function Using a Genetic Algorithm

1
Department of Acoustics, Multimedia and Signal Processing, Faculty of Electronics, Photonics and Microsystems, Wrocław University of Science and Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland
2
Department of Computer Engineering, Faculty of Information and Communication Technology, Wrocław University of Science and Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland
*
Authors to whom correspondence should be addressed.
Appl. Sci. 2022, 12(11), 5325; https://doi.org/10.3390/app12115325
Submission received: 21 April 2022 / Revised: 16 May 2022 / Accepted: 23 May 2022 / Published: 25 May 2022
(This article belongs to the Special Issue Ultrasound Technology in Industry and Medicine)

Abstract

The transfer function is an important parameter describing ultrasonic transducers which are designed to operate in various media. The typically high impedance of piezoelectric transducers is matched to a particular loading medium (gas, liquid, biological medium) by using multicomponent matching layers, which have specific impedances and thicknesses in accordance with the generally known matching criteria: Chebyshev, DeSilets or Souquet. When properly selected, the materials used for the matching layers allow the most optimal parameters to be obtained for both transmitting and the receiving ultrasonic energy. However, studies rarely focus on the possibility of shaping the obtained transfer function, which is also a parameter that is important in some applications of transducers intended for pulse operation, especially in liquid media (e.g., in hydroacoustics) or in biological media (e.g., in ultrasound imaging). The values and shapes of such a function are influenced by factors which are identical to the parameters describing the matching layers. This article presents the possibilities and advantages of using a genetic algorithm to shape the characteristics of the transfer functions that have a particular importance in the search for an optimal (typically the greatest) bandwidth of a transducer intended for operation in a particular medium.
Keywords: transfer function; matching layers; ultrasonic transducers; genetic algorithm transfer function; matching layers; ultrasonic transducers; genetic algorithm

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MDPI and ACS Style

Gudra, T.; Banasiak, D. Multiparameter Analysis of the Ultrasonic Transducer Transfer Function Using a Genetic Algorithm. Appl. Sci. 2022, 12, 5325. https://doi.org/10.3390/app12115325

AMA Style

Gudra T, Banasiak D. Multiparameter Analysis of the Ultrasonic Transducer Transfer Function Using a Genetic Algorithm. Applied Sciences. 2022; 12(11):5325. https://doi.org/10.3390/app12115325

Chicago/Turabian Style

Gudra, Tadeusz, and Dariusz Banasiak. 2022. "Multiparameter Analysis of the Ultrasonic Transducer Transfer Function Using a Genetic Algorithm" Applied Sciences 12, no. 11: 5325. https://doi.org/10.3390/app12115325

APA Style

Gudra, T., & Banasiak, D. (2022). Multiparameter Analysis of the Ultrasonic Transducer Transfer Function Using a Genetic Algorithm. Applied Sciences, 12(11), 5325. https://doi.org/10.3390/app12115325

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