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题名

In-situ prediction of α-phase volume fraction in titanium alloy using laser ultrasonic with support vector regression

作者
通讯作者Feng,Wei
发表日期
2021-06-01
DOI
发表期刊
ISSN
0003-682X
EISSN
1872-910X
卷号177
摘要
A laser ultrasonic based non-contact detection method combined with support vector regression (SVR) was proposed for the first time for in-situ predicting the volume fraction of α-phase in titanium alloy (Ti-10V-2Fe-3Al). The alloy specimens were heated with incremental temperatures from 820 to 1100 °C to obtain different microstructures and volume fraction of α-phase, and the nonlinear relationship between the parameter of Rayleigh ultrasonic wave (velocity, amplitude and peak frequency) and the volume fraction of α-phase was established and analyzed by the combination of laser ultrasonic experiment and metallographic analysis. The SVR, with ultrasonic parameters and heat treatment parameters (heating and cooling rate, holding time and holding temperature) as input features, was implemented to predict the volume fraction of α-phase, achieving a relative mean error less than 5%. The results indicate that the SVR-based laser ultrasonic technique can be applied as a reliable and effective method for in-situ characterization of volume fraction of α-phase in titanium alloy.
关键词
相关链接[Scopus记录]
收录类别
SCI ; EI
语种
英语
学校署名
其他
WOS记录号
WOS:000631292100030
EI入藏号
20210509867291
EI主题词
Aluminum alloys ; Forecasting ; Heat treatment ; Metallography ; Titanium alloys ; Ultrasonic testing ; Volume fraction
EI分类号
Metallography:531.2 ; Heat Treatment Processes:537.1 ; Aluminum Alloys:541.2 ; Titanium and Alloys:542.3 ; Thermodynamics:641.1 ; Ultrasonic Applications:753.3
ESI学科分类
PHYSICS
Scopus记录号
2-s2.0-85100114328
来源库
Scopus
引用统计
被引频次[WOS]:14
成果类型期刊论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/221477
专题工学院_电子与电气工程系
工学院_环境科学与工程学院
作者单位
1.Shenzhen Key Laboratory of Smart Sensing and Intelligent Systems,Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences,Shenzhen,518055,China
2.Guangdong Provincial Key Lab of Robotics and Intelligent System,Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences,Shenzhen,518055,China
3.CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems,Shenzhen Institutes of Advanced Technology,Shenzhen,518055,China
4.University of Chinese Academy of Sciences,Beijing,100049,China
5.Department of Electrical and Electronic Engineering,Southern University of Science and Technology,Shenzhen,518055,China
6.SUSTech Engineering Innovation Center,School of Environmental Science and Engineering,Southern University of Science and Technology,Shenzhen,518055,China
推荐引用方式
GB/T 7714
Chen,Dan,Liu,Yanjun,Feng,Wei,et al. In-situ prediction of α-phase volume fraction in titanium alloy using laser ultrasonic with support vector regression[J]. APPLIED ACOUSTICS,2021,177.
APA
Chen,Dan.,Liu,Yanjun.,Feng,Wei.,Wang,Yuanhao.,Hu,Qing.,...&Guo,Shifeng.(2021).In-situ prediction of α-phase volume fraction in titanium alloy using laser ultrasonic with support vector regression.APPLIED ACOUSTICS,177.
MLA
Chen,Dan,et al."In-situ prediction of α-phase volume fraction in titanium alloy using laser ultrasonic with support vector regression".APPLIED ACOUSTICS 177(2021).
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