Renormalisation analysis of a composite ultrasonic transducer with a fractal architecture
Algehyne, Ebrahem and Mulholland, Anthony J. (2017) Renormalisation analysis of a composite ultrasonic transducer with a fractal architecture. Fractals, 25 (2). 1750015. ISSN 0218-348X (https://doi.org/10.1142/S0218348X17500153)
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Abstract
To ensure the safe operation of many safety critical structures such as nuclear plants, aircraft and oil pipelines, non-destructive imaging is employed using piezoelectric ultrasonic transducers. These sensors typically operate at a single frequency due to the restrictions imposed on their resonant behaviour by the use of a single length scale in the design. To allow these transducers to transmit and receive more complex signals it would seem logical to use a range of length scales in the design so that a wide range of resonating frequencies will result. In this article we derive a mathematical model to predict the dynamics of an ultrasound transducer that achieves this range of length scales by adopting a fractal architecture. In fact, the device is modelled as a graph where the nodes represent segments of the piezoelectric and polymer materials. The electrical and mechanical fields that are contained within this graph are then expressed in terms of a finite element basis. The structure of the resulting discretised equations yields to a renormalisation methodology which is used to derive expressions for the non-dimensionalised electrical impedance and the transmission and reception sensitivities. A comparison with a standard design shows some benefits of these fractal designs.
ORCID iDs
Algehyne, Ebrahem and Mulholland, Anthony J. ORCID: https://orcid.org/0000-0002-3626-4556;-
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Item type: Article ID code: 59662 Dates: DateEvent12 April 2017Published23 January 2017AcceptedSubjects: Science > Mathematics
Technology > Electrical engineering. Electronics Nuclear engineeringDepartment: Faculty of Science > Mathematics and Statistics Depositing user: Pure Administrator Date deposited: 31 Jan 2017 16:41 Last modified: 11 Nov 2024 11:37 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/59662