Abstract

In anisotropic materials, texture components and orientation density directly affect the surface acoustic waves’ (SAW) velocity dispersion and SAW velocity variation. In this paper, a texture feature recognition and analysis system for a neural network is constructed based on the corresponding characteristics of texture components and orientation density and SAW velocity dispersion and variation by combining laser ultrasound technology with the partial texture analysis method, which is used for the identification and analysis of texture type and feature. At the same time, based on the relationship between surface wave velocity and the fourth-order texture coefficient, an expert system for accurate prediction of the fourth-order texture coefficient is constructed. Then, the fourth-order texture coefficients predicted by the neural network expert system (NNES) are compared with the texture coefficients measured by electron backscattered diffraction. The results show that the NNES can not only quickly identify and analyze texture features, but also accurately predict the fourth-order texture coefficients.

© 2019 Optical Society of America

Grain size characterization of Ti-6Al-4V titanium alloy based on laser ultrasonic random forest regression

Juhao Zhang, Jinfeng Wu, Anmin Yin, Zhi Xu, Zewen Zhang, Huihui Yu, Yujie Lu, Wenchao Liao, and Lei Zheng
Appl. Opt. 62(3) 735-744 (2023)

Simple, all-optical, noncontact, depth-selective, narrowband surface acoustic wave measurement system for evaluating the Rayleigh velocity of small samples or areas

Hsiao-Chuan Wang, Simon Fleming, and Yung-Chun Lee
Appl. Opt. 48(8) 1444-1451 (2009)

Nondestructive evaluation of demineralized enamel in a human incisor and molar using laser ultrasonics

Kaihua Sun, Ling Yuan, Zhonghua Shen, and Qingping Zhu
Appl. Opt. 57(5) 1231-1240 (2018)

Experimental and numerical studies for nondestructive evaluation of human enamel using laser ultrasonic technique

Kaihua Sun, Ling Yuan, Zhonghua Shen, Qingping Zhu, Jian Lu, and Xiaowu Ni
Appl. Opt. 52(28) 6896-6905 (2013)

Visualization of surface acoustic waves by means of synchronous amplitude-modulated illumination

Bradley D. Duncan
Appl. Opt. 39(17) 2888-2895 (2000)