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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-10488954 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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