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Intelligent Optimization Design of a Phononic Crystal Air-Coupled Ultrasound Transducer

To further improve the operational performance of a phononic crystal air-coupled ultrasonic transducer while reducing the number of simulations, an intelligent optimization design strategy is proposed by combining finite element simulation analysis and artificial intelligence (AI) methods. In the pr...

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Detalles Bibliográficos
Autores principales: Wang, Jianghai, Ji, Huawei, Qi, Anqi, Liu, Yu, Lin, Liming, Wu, Xin, Ni, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10488954/
https://www.ncbi.nlm.nih.gov/pubmed/37687505
http://dx.doi.org/10.3390/ma16175812
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author Wang, Jianghai
Ji, Huawei
Qi, Anqi
Liu, Yu
Lin, Liming
Wu, Xin
Ni, Jing
author_facet Wang, Jianghai
Ji, Huawei
Qi, Anqi
Liu, Yu
Lin, Liming
Wu, Xin
Ni, Jing
author_sort Wang, Jianghai
collection PubMed
description To further improve the operational performance of a phononic crystal air-coupled ultrasonic transducer while reducing the number of simulations, an intelligent optimization design strategy is proposed by combining finite element simulation analysis and artificial intelligence (AI) methods. In the proposed strategy, the structural design parameters of 1–3 piezoelectric composites and acoustic impedance gradient matching layer are sampled using the optimal Latin hypercube sampling (OLHS) method. Moreover, the COMSOL software is utilized to calculate the performance parameters of the transducer. Based on the simulation data, a radial basis function neural network (RBFNN) model is trained to establish the relationship between the design parameters and the performance parameters. The accuracy of the approximation model is verified through linear regression plots and statistical methods. Finally, the NSGA-II algorithm is used to determine the design parameters of the transducer. After optimization, the band gap widths of the piezoelectric composites and acoustic impedance gradient matching layer are increased by 16 kHz and 13.5 kHz, respectively. Additionally, the −6 dB bandwidth of the transducer is expanded by 11.5%. The simulation results and experimental results are consistent with the design objectives, which confirms the effectiveness of the design strategy. This work provides a feasible strategy for the design of high-performance air-coupled ultrasonic transducers, which is of great significance for the development of non-destructive testing technology.
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spelling pubmed-104889542023-09-09 Intelligent Optimization Design of a Phononic Crystal Air-Coupled Ultrasound Transducer Wang, Jianghai Ji, Huawei Qi, Anqi Liu, Yu Lin, Liming Wu, Xin Ni, Jing Materials (Basel) Article To further improve the operational performance of a phononic crystal air-coupled ultrasonic transducer while reducing the number of simulations, an intelligent optimization design strategy is proposed by combining finite element simulation analysis and artificial intelligence (AI) methods. In the proposed strategy, the structural design parameters of 1–3 piezoelectric composites and acoustic impedance gradient matching layer are sampled using the optimal Latin hypercube sampling (OLHS) method. Moreover, the COMSOL software is utilized to calculate the performance parameters of the transducer. Based on the simulation data, a radial basis function neural network (RBFNN) model is trained to establish the relationship between the design parameters and the performance parameters. The accuracy of the approximation model is verified through linear regression plots and statistical methods. Finally, the NSGA-II algorithm is used to determine the design parameters of the transducer. After optimization, the band gap widths of the piezoelectric composites and acoustic impedance gradient matching layer are increased by 16 kHz and 13.5 kHz, respectively. Additionally, the −6 dB bandwidth of the transducer is expanded by 11.5%. The simulation results and experimental results are consistent with the design objectives, which confirms the effectiveness of the design strategy. This work provides a feasible strategy for the design of high-performance air-coupled ultrasonic transducers, which is of great significance for the development of non-destructive testing technology. MDPI 2023-08-24 /pmc/articles/PMC10488954/ /pubmed/37687505 http://dx.doi.org/10.3390/ma16175812 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Jianghai
Ji, Huawei
Qi, Anqi
Liu, Yu
Lin, Liming
Wu, Xin
Ni, Jing
Intelligent Optimization Design of a Phononic Crystal Air-Coupled Ultrasound Transducer
title Intelligent Optimization Design of a Phononic Crystal Air-Coupled Ultrasound Transducer
title_full Intelligent Optimization Design of a Phononic Crystal Air-Coupled Ultrasound Transducer
title_fullStr Intelligent Optimization Design of a Phononic Crystal Air-Coupled Ultrasound Transducer
title_full_unstemmed Intelligent Optimization Design of a Phononic Crystal Air-Coupled Ultrasound Transducer
title_short Intelligent Optimization Design of a Phononic Crystal Air-Coupled Ultrasound Transducer
title_sort intelligent optimization design of a phononic crystal air-coupled ultrasound transducer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10488954/
https://www.ncbi.nlm.nih.gov/pubmed/37687505
http://dx.doi.org/10.3390/ma16175812
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