基于PMNT陶瓷的1-3型压电复合材料软模板法制备及其超声换能器研究
Preparation of 1-3 piezoelectric composites based on PMNT ceramics by soft mold method and research of ultrasound transducer
孙瑞雨 1李晓兵 1杨钊萍 1陈兴飞 1孙丰龙 1陈建伟 2夏子颐 3周长江4
作者信息
- 1. 上海理工大学健康科学与工程学院,上海 200093
- 2. 中国科学院上海硅酸盐研究所,上海 200050
- 3. 上海师范大学物理系光电材料与器件重点实验室,上海 200234
- 4. 山东第一医科大学附属人民医院超声科,济南 250000
- 折叠
摘要
医用高频超声换能器广泛应用于人体及生物组织的精细结构成像.1-3型压电复合材料因具有较高的机电耦合系数和较低的声阻抗而成为高频超声换能器的核心材料.基于有限元计算和软模板法设计制备了高性能Pb(Mg1/3Nb2/3)O3-PbTiO3陶瓷/环氧树脂压电复合材料,并对材料进行了系统的电学性能测试.结果显示该1-3型压电复合材料具有优异的声学综合性能,其厚度伸缩模式机电耦合系数kt达到70.1％,其声阻抗Z.达19.05 MRayl.利用该材料制备了高频超声换能器,其-6 dB带宽达85％,插入损耗为17.7 dB.结果表明使用软模板法制备的压电复合材料具有适合于超声成像的优异的综合性能,有望促进高频超声换能器的商业化应用.
Abstract
Medical high-frequency ultrasonic transducers are widely used in fine structure imaging of human body and biological tissues.The 1-3 piezoelectric composite material has become the core material of high frequency ultrasonic transducer because of its high electromechanical coupling coefficient and low acoustic impedance.In this paper,high-performance Pb(Mg1/3Nb2/3)O3-PbTiO3 ceramic/epoxy piezoelectric composites were designed and prepared based on finite element calculation and soft template method,and the electrical properties of the materials were systematically tested.The results show that the 1-3 piezoelectric composite material has excel-lent acoustic comprehensive performance.The electromechanical coupling coefficient kt of the thickness expan-sion mode reaches 70.1％,and the acoustic impedance Za reaches 19.05 MRayl.A high-frequency ultrasonic transducer was fabricated using this material,with a-6 dB bandwidth of 85％and an insertion loss of 17.7 dB.The results show that the piezoelectric composites prepared by the soft template method have excellent compre-hensive properties suitable for ultrasonic imaging,which is expected to promote the commercial application of high-frequency ultrasonic transducers.
关键词
1-3型压电复合/PMNT陶瓷/高频超声换能器/软模板法Key words
1-3 piezoelectric composite/piezoelectric ceramics/high frequency ultrasonic/soft mold method引用本文复制引用
出版年
2024
NETL
NSTL
万方数据