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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Gespeichert in:

Autor*in:	Jianghai Wang [verfasserIn] Huawei Ji [verfasserIn] Anqi Qi [verfasserIn] Yu Liu [verfasserIn] Liming Lin [verfasserIn] Xin Wu [verfasserIn] Jing Ni [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	phononic crystal air-coupled ultrasonic transducer radial basis function neural network NSGA-II algorithm −6 dB bandwidth

Übergeordnetes Werk:	In: Materials - MDPI AG, 2009, 16(2023), 17, p 5812
Übergeordnetes Werk:	volume:16 ; year:2023 ; number:17, p 5812

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/ma16175812

Katalog-ID:	DOAJ093504675

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allfields	10.3390/ma16175812 doi (DE-627)DOAJ093504675 (DE-599)DOAJ8fbc5ad5194743c4a7089959e2cdd4bc DE-627 ger DE-627 rakwb eng TK1-9971 TA1-2040 QH201-278.5 QC120-168.85 Jianghai Wang verfasserin aut Intelligent Optimization Design of a Phononic Crystal Air-Coupled Ultrasound Transducer 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. phononic crystal air-coupled ultrasonic transducer radial basis function neural network NSGA-II algorithm −6 dB bandwidth Technology T Electrical engineering. Electronics. Nuclear engineering Engineering (General). Civil engineering (General) Microscopy Descriptive and experimental mechanics Huawei Ji verfasserin aut Anqi Qi verfasserin aut Yu Liu verfasserin aut Liming Lin verfasserin aut Xin Wu verfasserin aut Jing Ni verfasserin aut In Materials MDPI AG, 2009 16(2023), 17, p 5812 (DE-627)595712649 (DE-600)2487261-1 19961944 nnns volume:16 year:2023 number:17, p 5812 https://doi.org/10.3390/ma16175812 kostenfrei https://doaj.org/article/8fbc5ad5194743c4a7089959e2cdd4bc kostenfrei https://www.mdpi.com/1996-1944/16/17/5812 kostenfrei https://doaj.org/toc/1996-1944 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 16 2023 17, p 5812
spelling	10.3390/ma16175812 doi (DE-627)DOAJ093504675 (DE-599)DOAJ8fbc5ad5194743c4a7089959e2cdd4bc DE-627 ger DE-627 rakwb eng TK1-9971 TA1-2040 QH201-278.5 QC120-168.85 Jianghai Wang verfasserin aut Intelligent Optimization Design of a Phononic Crystal Air-Coupled Ultrasound Transducer 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. phononic crystal air-coupled ultrasonic transducer radial basis function neural network NSGA-II algorithm −6 dB bandwidth Technology T Electrical engineering. Electronics. Nuclear engineering Engineering (General). Civil engineering (General) Microscopy Descriptive and experimental mechanics Huawei Ji verfasserin aut Anqi Qi verfasserin aut Yu Liu verfasserin aut Liming Lin verfasserin aut Xin Wu verfasserin aut Jing Ni verfasserin aut In Materials MDPI AG, 2009 16(2023), 17, p 5812 (DE-627)595712649 (DE-600)2487261-1 19961944 nnns volume:16 year:2023 number:17, p 5812 https://doi.org/10.3390/ma16175812 kostenfrei https://doaj.org/article/8fbc5ad5194743c4a7089959e2cdd4bc kostenfrei https://www.mdpi.com/1996-1944/16/17/5812 kostenfrei https://doaj.org/toc/1996-1944 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 16 2023 17, p 5812
allfields_unstemmed	10.3390/ma16175812 doi (DE-627)DOAJ093504675 (DE-599)DOAJ8fbc5ad5194743c4a7089959e2cdd4bc DE-627 ger DE-627 rakwb eng TK1-9971 TA1-2040 QH201-278.5 QC120-168.85 Jianghai Wang verfasserin aut Intelligent Optimization Design of a Phononic Crystal Air-Coupled Ultrasound Transducer 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. phononic crystal air-coupled ultrasonic transducer radial basis function neural network NSGA-II algorithm −6 dB bandwidth Technology T Electrical engineering. Electronics. Nuclear engineering Engineering (General). Civil engineering (General) Microscopy Descriptive and experimental mechanics Huawei Ji verfasserin aut Anqi Qi verfasserin aut Yu Liu verfasserin aut Liming Lin verfasserin aut Xin Wu verfasserin aut Jing Ni verfasserin aut In Materials MDPI AG, 2009 16(2023), 17, p 5812 (DE-627)595712649 (DE-600)2487261-1 19961944 nnns volume:16 year:2023 number:17, p 5812 https://doi.org/10.3390/ma16175812 kostenfrei https://doaj.org/article/8fbc5ad5194743c4a7089959e2cdd4bc kostenfrei https://www.mdpi.com/1996-1944/16/17/5812 kostenfrei https://doaj.org/toc/1996-1944 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 16 2023 17, p 5812
allfieldsGer	10.3390/ma16175812 doi (DE-627)DOAJ093504675 (DE-599)DOAJ8fbc5ad5194743c4a7089959e2cdd4bc DE-627 ger DE-627 rakwb eng TK1-9971 TA1-2040 QH201-278.5 QC120-168.85 Jianghai Wang verfasserin aut Intelligent Optimization Design of a Phononic Crystal Air-Coupled Ultrasound Transducer 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. phononic crystal air-coupled ultrasonic transducer radial basis function neural network NSGA-II algorithm −6 dB bandwidth Technology T Electrical engineering. Electronics. Nuclear engineering Engineering (General). Civil engineering (General) Microscopy Descriptive and experimental mechanics Huawei Ji verfasserin aut Anqi Qi verfasserin aut Yu Liu verfasserin aut Liming Lin verfasserin aut Xin Wu verfasserin aut Jing Ni verfasserin aut In Materials MDPI AG, 2009 16(2023), 17, p 5812 (DE-627)595712649 (DE-600)2487261-1 19961944 nnns volume:16 year:2023 number:17, p 5812 https://doi.org/10.3390/ma16175812 kostenfrei https://doaj.org/article/8fbc5ad5194743c4a7089959e2cdd4bc kostenfrei https://www.mdpi.com/1996-1944/16/17/5812 kostenfrei https://doaj.org/toc/1996-1944 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 16 2023 17, p 5812
allfieldsSound	10.3390/ma16175812 doi (DE-627)DOAJ093504675 (DE-599)DOAJ8fbc5ad5194743c4a7089959e2cdd4bc DE-627 ger DE-627 rakwb eng TK1-9971 TA1-2040 QH201-278.5 QC120-168.85 Jianghai Wang verfasserin aut Intelligent Optimization Design of a Phononic Crystal Air-Coupled Ultrasound Transducer 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. phononic crystal air-coupled ultrasonic transducer radial basis function neural network NSGA-II algorithm −6 dB bandwidth Technology T Electrical engineering. Electronics. Nuclear engineering Engineering (General). Civil engineering (General) Microscopy Descriptive and experimental mechanics Huawei Ji verfasserin aut Anqi Qi verfasserin aut Yu Liu verfasserin aut Liming Lin verfasserin aut Xin Wu verfasserin aut Jing Ni verfasserin aut In Materials MDPI AG, 2009 16(2023), 17, p 5812 (DE-627)595712649 (DE-600)2487261-1 19961944 nnns volume:16 year:2023 number:17, p 5812 https://doi.org/10.3390/ma16175812 kostenfrei https://doaj.org/article/8fbc5ad5194743c4a7089959e2cdd4bc kostenfrei https://www.mdpi.com/1996-1944/16/17/5812 kostenfrei https://doaj.org/toc/1996-1944 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 16 2023 17, p 5812
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callnumber-first	T - Technology
author	Jianghai Wang
spellingShingle	Jianghai Wang misc TK1-9971 misc TA1-2040 misc QH201-278.5 misc QC120-168.85 misc phononic crystal air-coupled ultrasonic transducer misc radial basis function neural network misc NSGA-II algorithm misc −6 dB bandwidth misc Technology misc T misc Electrical engineering. Electronics. Nuclear engineering misc Engineering (General). Civil engineering (General) misc Microscopy misc Descriptive and experimental mechanics Intelligent Optimization Design of a Phononic Crystal Air-Coupled Ultrasound Transducer
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topic_title	TK1-9971 TA1-2040 QH201-278.5 QC120-168.85 Intelligent Optimization Design of a Phononic Crystal Air-Coupled Ultrasound Transducer phononic crystal air-coupled ultrasonic transducer radial basis function neural network NSGA-II algorithm −6 dB bandwidth
topic	misc TK1-9971 misc TA1-2040 misc QH201-278.5 misc QC120-168.85 misc phononic crystal air-coupled ultrasonic transducer misc radial basis function neural network misc NSGA-II algorithm misc −6 dB bandwidth misc Technology misc T misc Electrical engineering. Electronics. Nuclear engineering misc Engineering (General). Civil engineering (General) misc Microscopy misc Descriptive and experimental mechanics
topic_unstemmed	misc TK1-9971 misc TA1-2040 misc QH201-278.5 misc QC120-168.85 misc phononic crystal air-coupled ultrasonic transducer misc radial basis function neural network misc NSGA-II algorithm misc −6 dB bandwidth misc Technology misc T misc Electrical engineering. Electronics. Nuclear engineering misc Engineering (General). Civil engineering (General) misc Microscopy misc Descriptive and experimental mechanics
topic_browse	misc TK1-9971 misc TA1-2040 misc QH201-278.5 misc QC120-168.85 misc phononic crystal air-coupled ultrasonic transducer misc radial basis function neural network misc NSGA-II algorithm misc −6 dB bandwidth misc Technology misc T misc Electrical engineering. Electronics. Nuclear engineering misc Engineering (General). Civil engineering (General) misc Microscopy misc Descriptive and experimental mechanics
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title	Intelligent Optimization Design of a Phononic Crystal Air-Coupled Ultrasound Transducer
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title_full	Intelligent Optimization Design of a Phononic Crystal Air-Coupled Ultrasound Transducer
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author_browse	Jianghai Wang Huawei Ji Anqi Qi Yu Liu Liming Lin Xin Wu Jing Ni
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title_sort	intelligent optimization design of a phononic crystal air-coupled ultrasound transducer
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title_auth	Intelligent Optimization Design of a Phononic Crystal Air-Coupled Ultrasound Transducer
abstract	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.
abstractGer	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.
abstract_unstemmed	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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container_issue	17, p 5812
title_short	Intelligent Optimization Design of a Phononic Crystal Air-Coupled Ultrasound Transducer
url	https://doi.org/10.3390/ma16175812 https://doaj.org/article/8fbc5ad5194743c4a7089959e2cdd4bc https://www.mdpi.com/1996-1944/16/17/5812 https://doaj.org/toc/1996-1944
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author2	Huawei Ji Anqi Qi Yu Liu Liming Lin Xin Wu Jing Ni
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up_date	2024-07-03T17:43:00.972Z
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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.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">phononic crystal air-coupled ultrasonic transducer</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">radial basis function neural network</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">NSGA-II algorithm</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">−6 dB bandwidth</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Technology</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">T</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Electrical engineering. Electronics. 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Intelligent Optimization Design of a Phononic Crystal Air-Coupled Ultrasound Transducer

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