Rapid measurement of the fourth-order texture coefficient by laser ultrasonic surface acoustic waves based on a neural network expert system-Reference-Cited by-同舟云学术

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Rapid measurement of the fourth-order texture coefficient by laser ultrasonic surface acoustic waves based on a neural network expert system

Published:2019-01-17 Issue:3 Volume:58 Page:626
ISSN:1559-128X
Container-title:Applied Optics
language:en
Short-container-title:Appl. Opt.

Author:

Zhang Jie,Yin Anmin,Tao Cheng,Wang Yufan,Zhu Zhenge,Peng Hao,Shu Xuedao

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Natural Science Foundation of Ningbo

Ningbo University

Publisher

The Optical Society

Subject

Atomic and Molecular Physics, and Optics,Engineering (miscellaneous),Electrical and Electronic Engineering

Reference38 articles.

1. Work-hardening/softening behaviour of b.c.c. polycrystals during changing strain paths: I. An integrated model based on substructure and texture evolution, and its prediction of the stress–strain behaviour of an IF steel during two-stage strain paths

2. Deformation and recrystallization microtextures of an austenitic steel during asymmetrical hot rolling process

3. Evolution of textures and microstructures in IF-steel sheets during continuous confined strip shearing and subsequent recrystallization annealing

4. Elastic characterization of platinum/rhodium alloy at high temperature by combined laser heating and laser ultrasonic techniques

5. Experimental study and finite element analysis based on equivalent load method for laser ultrasonic measurement of elastic constants

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1. The Microstructure Characterization of a Titanium Alloy Based on a Laser Ultrasonic Random Forest Regression;Crystals;2024-06-30

2. Grain size characterization of Ti-6Al-4V titanium alloy based on laser ultrasonic random forest regression;Applied Optics;2023-01-17

3. Grain size distribution characterization of aluminum with a particle swarm optimization neural network using laser ultrasonics;Applied Acoustics;2021-09

4. In-situ prediction of α-phase volume fraction in titanium alloy using laser ultrasonic with support vector regression;Applied Acoustics;2021-06

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