64 elements two-dimensional piezoelectric array for 3D imaging

doi:10.1016/S0041-624X(02)00102-6

64 elements two-dimensional piezoelectric array for 3D imaging

2002-05-01

30

PRE

AI

M

Mostafa Akhnak

Ó

Óscar Martínez-Graullera

L

L.G. Ullate

F

F. Montero de Espinosa *

DOI：10.1016/S0041-624X(02)00102-6

Original

Original request for help

Save

Abstract

En 中文

Ultrasound has a large potential on non-invasive inspection with main applications in medical imaging and non-destructive testing (NDT). The increasing interest in 3D imaging applications leads to investigate new solutions for two-dimensional (2D) ultrasonic arrays with affordable number of electronic channels without resolution degradation. 2D segmented annular arrays (SAAs) are a good compromise between resolution-image quality-and number of electronically active channels. A 1-3 piezoelectric composites are used as basis material to manufacture the array transducers due to their low planar coupling and high electromechanical coupling coefficients. A 1.5 MHz SAA of 64 elements and 20 mm of diameter was designed, manufactured and tested. The design key point is the use of a flexible circuit with electrodes and tracks that define the array geometry, The piezocomposite was used as a monolithic support. Soft backing and one matching layer were used. The array elements have been tested electrically and acoustically showing good agreement with a KLM-based simulation model. Acoustical field measurements in water at different steering angles were made and compared with simulations performed with a model that uses an exact solution of the impulse response approach. Side lobes are important because the array geometry used was designed to work in metals for NDT purposes. Smaller array elements should be made for medical applications. (C) 2002 Elsevier Science B.V. All rights reserved.

Keywords:

piezocomposite

two-dimensional array

3D imaging

cross-coupling

ultrasonic beam pattern

64 elements two-dimensional piezoelectric array for 3D imaging

Abstract

AI Summary

Journal

Organization

Cited Papers