Abstract
The performance of the piezo-composite transducer is greatly influenced by the matching layers. Based on finite element analysis and artificial intelligence, an optimization design method is proposed to optimize the matching layers of a 2–2 piezo-composite transducer for biomedical imaging. The neural networks are trained by the finite element analysis data to build up the mapping relationship between the thickness of matching layers and the performance. The optimization criteria are established based on the performance (centre frequency, bandwidth, and peak-to-peak voltage) and minimizing the material consumption. The thicknesses of matching layers are optimized by using a particle swarm optimization algorithm. The optimized thicknesses of both matching layers are 49 μm. The optimized centre frequency, bandwidth, and peak-to-peak voltage are 9.1 MHz, 72.5%, and 2.26 V, which can nearly achieve the designed targets (9.5 MHz, 75%, and 2.20 V). According to the optimized thicknesses of matching layers, the fabricated 2–2 piezo-composite transducer exhibits a centre frequency of 9.8 MHz, a bandwidth of 79.6%, and a peak-to-peak voltage of 2.11 V verifies the effectiveness and availability of the proposed method. Then, the piezo-composite transducer is hard-pressed for ultrasonic imaging. The press-focused piezo-composite transducer has an insertion loss of -19.1 dB at 10 MHz, a lateral resolution of 125 μm at 4 mm, and an axial resolution of 132 μm. The good resolution was confirmed by scanning the pig eyeball, which suggests that the 2–2 piezo-composite transducer with optimized matching layers has great potential in biomedical imaging.
Similar content being viewed by others
Abbreviations
- BW:
-
6 DB Bandwidth
- CF:
-
Centre frequency
- PV:
-
Peak-to-peak voltage
- TPC:
-
Thickness of Parylene C
- TSE:
-
Thickness of silver epoxy
- CF des :
-
Designed centre frequency
- CF max C min :
-
Maximum and minimum of centre frequency
- BW des :
-
Designed -6 dB bandwidth
- BW max BW min :
-
Maximum and minimum of -6 dB bandwidth
- PV des :
-
Designed peak-to-peak voltage
- PV max PV min :
-
Maximum and minimum of peak-to-peak voltage
- TPCmax :
-
Maximum thickness of Parylene C
- TSEmax :
-
Maximum thickness of silver epoxy
- α:
-
Weight of centre frequency
- β:
-
Weight of -6 dB bandwidth
- γ:
-
Weight of peak-to-peak voltage
- η:
-
Weight of material consumption
- v i :
-
Velocity of the ith particle
- x i :
-
Position of the ith particle
- w :
-
Inertia weight
- p i :
-
Best previous positions of the ith particle
- p g :
-
Best previous positions of all particles
- c 1, c 2 :
-
Constants to determine the weights of \(p_{i}\) and \(p_{g}\)
- r 1, r 2 :
-
Two random values
- iter :
-
Current iteration
- iter max :
-
Maximum of the current iteration
- w max :
-
Maximum of inertia weight
- w min :
-
Minimum of inertia weight
References
Abrar A, Cochran S (2007) Mathematical optimization of multilayer piezoelectric devices with nonuniform layers by simulated annealing. Ultrasonics Ferroelectrics & Frequency Control IEEE Transactions on 54(10):1920–1929. https://doi.org/10.1109/TUFFC.2007.484
Alvarez-Arenas TG, Perez G, Corral A (2019) Gas-coupled transducers for pulse-echo operation. International Congress on Ultrasonics DOI 10(1121/2):0001191
Andersen KK, Frijlink M, Hoff L (2017) Numerical optimization of ultrasound transducers by the linearity of the phase spectrum. International Ultrasonics Symposium IEEE. https://doi.org/10.1109/ULTSYM.2017.8092006
Barroso ES et al (2017) A hybrid PSO-GA algorithm for optimization of laminated composites. Struct Multidiscip Optim 55(6):2111–2130. https://doi.org/10.1007/s00158-016-1631-y
Cannata JM, Ritter TA, Chen WH et al (2003) Design of efficient, broadband single-element (20–80 MHz) ultrasonic transducers for medical imaging applications. Ultrasonics Ferroelectrics & Frequency Control IEEE Transactions on 50(11):1548–1557. https://doi.org/10.1109/TUFFC.2003.1251138
Chen D, Lin Y (2019) A particle swarm optimization-based multi-level processing parameters optimization method for controlling microstructures of an aged superalloy during isothermal forging. Met Mater Int 25(5):1246–1257. https://doi.org/10.1007/s12540-019-00265-8
Chen R, Jiang L, Zhang T et al (2019) Eco-friendly highly sensitive transducers based on a new KNN–NTK–FM lead-free piezoelectric ceramic for high-frequency biomedical ultrasonic imaging applications. IEEE Trans Biomed Eng 66(6):1580–1587. https://doi.org/10.1109/TBME.2018.2876063
Chen D et al (2020a) An optimization design strategy of 1–3 piezocomposite ultrasonic transducer for imaging applications. Materials Today Communications 24:100991. https://doi.org/10.1016/j.mtcomm.2020.100991
Chen D, Zhao J, Fei C et al (2020b) Particle swarm optimization algorithm-based design method for ultrasonic transducers. Micromachines 11(8):715. https://doi.org/10.3390/mi11080715
Chen D, Wang L, Luo X, Fei C, Li D, Shan G, Yang Y (2021a) Recent development and perspectives of optimization design methods for piezoelectric ultrasonic transducers. Micromachines 12:779. https://doi.org/10.3390/mi12070779
Chen D, Zhao J, Fei C et al (2021b) An efficient optimization design for 1 MHz ultrasonic transmitting transducer. IEEE Sens J 21(6):7420–7427. https://doi.org/10.1109/JSEN.2021.3052375
Drinkwater BW, Wilcox PD (2006) Ultrasonic arrays for non-destructive evaluation: a review. NDT and E Int 39(7):525–541. https://doi.org/10.1016/j.ndteint.2006.03.006
Fei C et al (2015) Design of matching layers for high-frequency ultrasonic transducers. Appl Phys Lett 50(12):1548–2399. https://doi.org/10.1063/1.4931703
Fei C, Chiu CT, Chen X et al (2016) Ultrahigh frequency (100MHz–300MHz) ultrasonic transducers for optical resolution medical imagining. Sci Rep 6(1):28360. https://doi.org/10.1038/srep28360
Fei C, Yang Y, Guo F et al (2018a) PMN-PT single crystal ultrasonic transducer with half-concave geometric design for IVUS imaging. IEEE Trans Biomed Eng 65(9):2087–2092. https://doi.org/10.1109/TBME.2017.2784437
Fei C, Zhao T, Wang D, et al. 2018 High Frequency Needle Ultrasonic Transducers Based on Lead-Free Co Doped Na0.5Bi4.5Ti4O15 Piezo-Ceramics. Micromachines DOI: https://doi.org/10.3390/mi9060291
Han X, Kang Y, Sheng J et al (2020) Centrifugal pump impeller and volute shape optimization via combined NUMECA, genetic algorithm, and back propagation neural network. Struct Multidiscip Optim 61(3):381–409. https://doi.org/10.1007/s00158-019-02367-8
Ke Q et al (2019) KNNS-BNZH lead-free 1–3 piezoelectric composite for ultrasonic and photoacoustic imaging. IEEE Trans Ultrason Ferroelectr Freq Control 66(8):1395–1401. https://doi.org/10.1109/TUFFC.2019.2914464
Kim KB, Hsu DK, Ahn B et al (2010) Fabrication and comparison of PMN-PT single crystal, PZT and PZT-based 1–3 composite ultrasonic transducers for NDE applications. Ultrasonics 50(8):790–797. https://doi.org/10.1016/j.ultras.2010.04.001
Li DY, Peng YH, Yin JL (2007) Optimization of metal-forming process via a hybrid intelligent optimization technique. Struct Multidiscip Optim 34(3):229–241. https://doi.org/10.1007/s00158-006-0075-1
Li X, Zhao Y, Liu Z (2019) A novel global optimization algorithm and data-mining methods for turbomachinery design. Struct Multidiscip Optim 60(2):581–612. https://doi.org/10.1007/s00158-019-02227-5
Li Z et al (2021) Optimization design of ultrasonic transducer with multimatching layer. IEEE Trans Ultrason Ferroelectr Freq Control 68(6):2202–2211. https://doi.org/10.1109/TUFFC.2021.3059671
Lin P et al (2021) Multilayer stairstep piezoelectric structure design for ultrabroad-bandwidth ultrasonic transducer. IEEE Sens J. https://doi.org/10.1109/JSEN.2021.3100126
Lin P, Fei C, Shang H, et al. 2018 0.36BiScO3–0.64PbTiO3/epoxy 1–3 composite for ultrasonic transducer applications. IEEE Sensors Journal 18(14):5685–5690 DOI:https://doi.org/10.1109/JSEN.2018.2837868
Mills D M, Smith S W. 1999 Multi-layered PZT/polymer composites to increase signal-to-noise ratio and resolution for medical ultrasound transducers. II. Thick film technology. Ultrasonics Ferroelectrics & Frequency Control IEEE Transactions on 49(4): 1005–1014 DOI: https://doi.org/10.1109/TUFFC.2002.1020171
Mokarram V, Banan MR (2018) A new PSO-based algorithm for multi-objective optimization with continuous and discrete design variables. Structural & Multidiplinary Optimization 57:509–533. https://doi.org/10.1007/s00158-017-1764-7
O’Leary RL, Hayward G, Murray V (2007) Finite element technique for the assessment of 3–1 and “super 1–3” connectivity piezoelectric composite transducers. IEEE Trans Ultrason Ferroelectr Freq Control 54(10):2024–2035. https://doi.org/10.1109/TUFFC.2007.497
Parr A, O’Leary RL, Hayward G (2005) Improving the thermal stability of 1–3 piezoelectric composite transducers. Ultrasonics Ferroelectrics & Frequency Control IEEE Transactions on 52(4):550–563. https://doi.org/10.1109/TUFFC.2005.1428036
Passmann C, Ermert H (1996) A 100-MHz ultrasound imaging system for dermatologic and ophthalmologic diagnostics. IEEE Trans Ultrason Ferroelectr Freq Control 43(4):545–552. https://doi.org/10.1109/58.503714
Qian X, Kang H, Li R et al (2020) In vivo visualization of eye vasculature using super-resolution ultrasound microvessel imaging. IEEE Transactions on Biomedical Engineering 67(10):2870–2880. https://doi.org/10.1109/TBME.2020.2972514
Qiu W et al (2017) Modulated excitation imaging system for intravascular ultrasound. IEEE Trans Biomed Eng 64(8):1935–1942. https://doi.org/10.1109/TBME.2016.2631224
Rebecca Kleinerman, Talley, et al (2012) Ultrasound in dermatology: principles and application. J American Academy of Dermatol 67(3):478–487. https://doi.org/10.1016/j.jaad.2011.12.016
Robertson D, Hayward G, Gachagan A et al (2006) Comparison of the frequency and physical nature of the lowest order parasitic mode in single crystal and ceramic 2–2 and 1–3 piezoelectric composite transducers. Ultrasonics Ferroelectrics & Frequency Control IEEE Transactions on 53(8):1503–1512. https://doi.org/10.1109/TUFFC.2006.1665108
Shaulov AA, Smith WA, Ting RY (1989) Modifiedlead- titanate/polymer composites for hydrophone applications. Ferroelectrics 93(1):177–182. https://doi.org/10.1080/00150198908017342
Sherar M, Foster FS (1989) The design and fabrication of high frequency poly(vinylidene fluoride) transducers. Ultrason Imaging 11(2):75–94. https://doi.org/10.1016/0161-7346(89)90001-1
Shung KK (2009) High frequency ultrasonic imaging. J Med Ultrasound 17(1):25–30. https://doi.org/10.1016/S0929-6441(09)60012-6
Sigmund O, Torquato S, Aksay IA (1998) On the design of 1–3 piezocomposites using topology optimization. J Mater Res 13(4):1038–1048. https://doi.org/10.1557/JMR.1998.0145
Silverman RH (2010) High-resolution ultrasound imaging of the eye - a review. Aust N Z J Ophthalmol 37(1):54–67. https://doi.org/10.1111/j.1442-9071.2008.01892.x
Sun L, Lien CL, Xu X et al (2008) In vivo cardiac imaging of adult zebrafish using high frequency ultrasound (45–75 MHz). Ultrasound Med Biol 34(1):31–39. https://doi.org/10.1016/j.ultrasmedbio.2007.07.002
Sun X et al (2018) Dual-frequency ultrasound transducers for the detection of morphological changes of deep-layered muscles. IEEE Sens J 18(4):1373–1383. https://doi.org/10.1109/JSEN.2017.2778243
Sun X, Man J, Chen D et al (2021) Intelligent optimization of matching layers for piezoelectric ultrasonic transducer. IEEE Sens J 21(12):13107–13115. https://doi.org/10.1109/JSEN.2021.3068041
Szabo TL, Lewin PA (2013) Ultrasound transducer selection in clinical imaging practice. J Ultrasound in M: O J American Institute of Ultrasound in Med 32(4):573–582. https://doi.org/10.7863/jum.2013.32.4.573
Tadeusz GUDRA (2020) Optimal selection of multicomponent matching layers for piezoelectric transducers using genetic algorithm. ARCHIVES OF ACOUSTICS 45(4):699–707. https://doi.org/10.24425/aoa.2020.135276
Tang Q et al (2011) P. A PSO-based algorithm designed for a swarm of mobile robots. Structural and Multidisciplinary Optimization 44(4):483–498. https://doi.org/10.1007/s00158-010-0618-3
Thiagarajan S, Martin RW, Proctor A et al (2002) Dual layer matching (20 MHz) piezoelectric transducers with glass and parylene. IEEE Trans Ultrason Ferroelectr Freq Control 44(5):1172–1174. https://doi.org/10.1109/58.655643
Toda M, Thompson M (2012) Detailed investigations of polymer/metal multilayer matching layer and backing absorber structures for wideband ultrasonic transducers. IEEE Trans Ultrason Ferroelectr Freq Control 59(2):231–242. https://doi.org/10.1109/TUFFC.2012.2183
Ultrasound in Food Processing: Recent Advances, Chapter 7. Air-coupled ultrasonic transducers. 2017 John Wiley & Sons
Yan X, Ji H, Lam KH et al (2013) Lead-free BNT composite film for high-frequency broadband ultrasonic transducer applications. IEEE Trans Ultrason Ferroelectr Freq Control 60(7):1533–1537. https://doi.org/10.1109/TUFFC.2013.2726
Zhang T et al (2017) High frequency single crystal ultrasonic transducers up to 100 MHz for high resolution ophthalmic imaging applications. International Ultrasonics Symposium IEEE. https://doi.org/10.1109/ULTSYM.2017.8092279
Zhou Q, Cha JH, Huang Y et al (2009) Alumina/epoxy nanocomposite matching layers for high-frequency ultrasound transducer application. IEEE Trans Ultrason Ferroelectr Freq Control 56(1):213–219. https://doi.org/10.1109/TUFFC.2009.1021
Zhou Q, Lau S, Wu D et al (2011) Piezoelectric films for high frequency ultrasonic transducers in biomedical applications. Prog Mater Sci 56(2):139–174. https://doi.org/10.1016/j.pmatsci.2010.09.001
Zhu B, Zhang Z, Ma T et al (2015) (100)-Textured KNN-based thick film with enhanced piezoelectric property for intravascular ultrasound imaging. Appl Phys Lett 106(17):567–570. https://doi.org/10.1063/1.4919387
Acknowledgements
This work was supported by the National Natural Science Foundations of China (No: 62104177, 61974110), Shenzhen Science technology and fundamental research and discipline layout project (No. JCYJ20170818153048647), Natural Science Foundations of Shaanxi Province (No: 2020JM-205), Shaanxi Provincial Association of Science and Technology Young Talents Support Project (No: 20190105), Xijiang Innovation Team Introduction Program of Zhaoqing, the Industry-University-Academy Cooperation Program of Xidian University-Chongqing IC Innovation Research Institute (No. CQIRI-2021CXY-Z03), and the Fundamental Research Funds for the Central Universities (No: XJS211105, JBF211103).
Funding
National natural science foundation of china, 61974110, Chunlong Fei, Shenzhen fundamental research and discipline layout project, JCYJ20170818153048647, Wei Feng, Natural science foundation of shaanxi province, 2020JM-205, Chunlong Fei, Shaanxi provincial association of science and technology young talents support project, 20190105, Chunlong Fei, Xijiang innovation team introduction program of zhaoqing, the industry-university-academy cooperation program of xidian university-chongqing ic innovation research institute, CQIRI-2021CXY-Z03, Zhishui Jiang, fundamental research funds for the central universities, XJS211105, Dongdong Chen, JBF211103, Chunlong Fei, National Natural Science Foundation of China, 62104177, Dongdong Chen
Author information
Authors and Affiliations
Contributions
P. Lin and D. Chen wrote the manuscript with support from Y. Zhu and C. Fei generated the experimental results. D. Chen (ddchen@xidian.edu.cn) and C. Fei supervised the project, and they are co-corresponding authors of this paper.
Corresponding author
Ethics declarations
Conflict of interest
On behalf of all authors, the corresponding author states that there is no conflict of interest.
Replication of results
The current work is part of a confidential project. Therefore, the developed codes cannot be disclosed at present. However, the basic data from PZFlex software for optimization and optimization results can be found in the Appendix.
Additional information
Responsible Editor: YoonYoung Kim
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Lin, P., Zhu, Y., Chen, D. et al. Matching layer design of a 2–2 piezo-composite ultrasonic transducer for biomedical imaging. Struct Multidisc Optim 65, 101 (2022). https://doi.org/10.1007/s00158-021-03130-8
Received:
Revised:
Accepted:
Published:
DOI: https://doi.org/10.1007/s00158-021-03130-8