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Modeling and Measuring the Effects of Mutual Impedance on Multi-Cell CMUT Configurations.

K K Park1, M Kupnik, H J Lee

  • 1Edward L. Ginzton Laboratory, Stanford University, CA, U.S.A.

Proceedings. IEEE Ultrasonics Symposium
|August 9, 2011
PubMed
Summary

This study introduces a new numerical method to accurately model multi-cell capacitive micromachined ultrasonic transducers (CMUTs). The method accounts for cell-to-cell acoustic loading, predicting varied frequency responses and offering faster computation than finite element analysis.

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Area of Science:

  • Acoustics
  • Microelectromechanical Systems (MEMS)
  • Ultrasonics

Background:

  • Multi-cell configurations are common in Capacitive Micromachined Ultrasonic Transducers (CMUTs).
  • Accurate modeling of multi-cell CMUTs requires considering acoustic loading from neighboring cells.
  • Existing models may oversimplify by only considering single-cell acoustic impedance.

Purpose of the Study:

  • To develop and present a novel numerical method for calculating the frequency response of multi-cell CMUTs.
  • To incorporate mutual acoustic impedance effects for a more accurate CMUT model.
  • To enable optimization of CMUT cell configurations for various applications.

Main Methods:

  • A numerical method was developed to calculate the frequency response of CMUTs with multiple cells.
  • The method simultaneously calculates the velocity of each cell, accounting for mutual acoustic impedance.
  • Experimental validation was performed using a laser interferometer to measure CMUT displacement response in vegetable oil.

Main Results:

  • The numerical model predicts distinct frequency responses for cells based on their position within the CMUT element.
  • Experimental measurements closely matched the numerical predictions.
  • The proposed method demonstrated significantly reduced computation time compared to finite element-based calculations.

Conclusions:

  • The developed numerical method accurately models multi-cell CMUTs by including mutual acoustic impedance.
  • The model's efficiency and accuracy make it suitable for optimizing CMUT designs.
  • This approach can advance CMUT applications in areas like medical imaging and therapy.