首页> 外文学位 >Characterization and modeling of capacitive micromachined ultrasonic transducers for diagnostic ultrasound.
【24h】

Characterization and modeling of capacitive micromachined ultrasonic transducers for diagnostic ultrasound.

机译:用于诊断超声的电容式微加工超声换能器的表征和建模。

获取原文
获取原文并翻译 | 示例

摘要

This thesis describes the characterization and modeling of capacitive micromachined ultrasonic transducers (cMUTs). Computational models of two transducer designs were produced through the combined use of finite element analysis (FEA) and lumped element modeling. Frequency response plots were generated for both single element transducers as well as transducer arrays. Through the use of laser Doppler velocimetry, frequency response tests were performed and compared to model predictions. The computational predictions for both coupled and uncoupled arrays were also compared.;The hybrid finite element/lumped element model was shown to be computationally efficient, predicting the resonant frequency within 20% of the experimental results, as well as providing reasonable fractional bandwidth values. The computational model also correctly predicted variations in the frequency response with changes in the transducer's passivation layer material. It was also determined that coupling through the acoustic medium had a profound effect on the frequency response of arrays, greatly increasing fractional bandwidth and decreasing primary resonance of the transducers.
机译:本文描述了电容微机械超声换能器(cMUT)的表征和建模。两种传感器设计的计算模型是通过有限元分析(FEA)和集总元素建模的组合使用而产生的。为单元件换能器以及换能器阵列生成了频率响应图。通过使用激光多普勒测速仪,进行了频率响应测试,并将其与模型预测进行了比较。还比较了耦合阵列和非耦合阵列的计算预测结果。混合有限元/集总单元模型显示出计算效率,可以预测实验结果的20%以内的谐振频率,并提供合理的分数带宽值。该计算模型还正确预测了频率响应随换能器钝化层材料变化的变化。还确定了通过声介质的耦合对阵列的频率响应具有深远的影响,极大地增加了部分带宽并降低了换能器的初级共振。

著录项

  • 作者

    Doody, Christopher B.;

  • 作者单位

    Tufts University.;

  • 授予单位 Tufts University.;
  • 学科 Engineering Mechanical.;Physics Acoustics.
  • 学位 M.S.
  • 年度 2009
  • 页码 140 p.
  • 总页数 140
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 机械、仪表工业;声学;
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号