Laser ultrasonics and neural networks for the characterization of thin isotropic plates

被引：8

作者：

Lefevre, F. ^{[1
]}

Jenot, F. ^{[1
]}

Ouaftouh, M. ^{[1
]}

Duquennoy, M. ^{[1
]}

Poussot, P. ^{[1
]}

Ourak, M. ^{[1
]}

机构：

[1] Univ Valenciennes, CNRS, Inst Elect Microelect & Nanotechnol, Dept Optoacoustoelect,UMR 8520, F-59313 Le Mt Houy 09, Valenciennes, France

来源：

REVIEW OF SCIENTIFIC INSTRUMENTS | 2009年 / 80卷 / 01期

关键词：

copper; Fourier transforms; neural nets; surface acoustic waves; ultrasonic materials testing; LAMB WAVES; THICKNESS;

D O I：

10.1063/1.3070518

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

Nondestructive testing has been performed on a thin copper plate. Lamb waves were generated and studied with a noncontact method, using a laser ultrasonic setup. A two-dimensional Fourier transform technique has been employed to obtain the dispersion curves, revealing numerous symmetric and antisymmetric modes. The inverse problem, in other words, the determination of the thickness and the elastic constants of the tested plate, has been solved by means of a feed-forward neural network. These parameters were then evaluated simultaneously, the dispersion curves being entirely fitted. The experimental results show good agreement with the theoretical model. This inversion method was found to be prompt and easy to automate.

引用

页数：6

共 12 条

[1] DETERMINATION OF THE FLEXURAL MODULUS OF THIN-FILMS FROM MEASUREMENT OF THE 1ST ARRIVAL OF THE SYMMETRICAL LAMB WAVE [J].