Hot deformation behaviors of AZ91 magnesium alloy: Constitutive equation, ANN-based prediction, processing map and microstructure evolution

doi:10.1016/j.jallcom.2022.164580

	Hot deformation behaviors of AZ91 magnesium alloy: Constitutive equation, ANN-based prediction, processing map and microstructure evolution
	Wang, Dongxiao 1,2; Zhu, Qiangqiang 1,2; Wei, Zhenxiong 1,2; Lin, Baosen 1,2; Jing, Yi 1,2; Shi, Yuan 3; Misra, R. D. K.4; Li, Jianping 1,2
	2022-07-05
发表期刊	Journal of Alloys and Compounds
ISSN	0925-8388
卷号	908
摘要	The hot deformation behavior in an AZ91 magnesium alloy was studied using Arrhenius model and Back-Propagation Artificial Neural Network (BP-ANN) approaches. The hot compression tests of AZ91 alloy were performed on the MMS-300 simulator at deformation temperatures and strain rates in the range of 473–623 K and 0.001 s−1- 1 s−1, respectively. The results indicated that the BP-ANN model has higher accuracy than Arrhenius model and the correlation coefficient is as high as 0.99341. The processing map is divided into three parts: machinable area (A), instability area I (INS I) (B) and instability area II (INS II) (C). The instability mode of areas B and C gradually changes from cracks to holes with the increase of temperature or the decrease of strain rate. The stable hot-deformation conditions with peak efficiency of power dissipation were concentrated in the range of 523 K, 0.01 s−1, 573 K, 0.01 s−1, 623 K, 0.001–1 s−1, respectively. With the increase of temperature, the deformation mechanism changed from twinning to dynamic recrystallization (DRX), which is discontinuous dynamic recrystallization (DDRX). Due to DRX, // CD texture intensity increased with the increase of temperature, and then decreased. © 2022 Elsevier B.V.
关键词	Backpropagation Compression testing Deformation Dynamic recrystallization Hot working Magnesium alloys Strain rate Textures Arrhenius models AZ91 magnesium alloys Back Propagation Back-propagation artificial neural network Dynamic recrystallisation Hot deformation behaviors Microstructure evolutions Processing maps Strain-rates Texture evolutions
DOI	10.1016/j.jallcom.2022.164580
收录类别	EI ; SCIE
语种	英语
WOS研究方向	Chemistry ; Materials Science ; Metallurgy & Metallurgical Engineering
WOS类目	Chemistry, Physical ; Materials Science, Multidisciplinary ; Metallurgy & Metallurgical Engineering
WOS记录号	WOS:000791679700002
出版者	Elsevier Ltd
EI入藏号	20221311863026
EI主题词	Neural networks
EI分类号	531.1 Metallurgy ; 535.2 Metal Forming ; 542.2 Magnesium and Alloys ; 549.2 Alkaline Earth Metals ; 723.4 Artificial Intelligence
来源库	WOS
引用统计	被引频次：25[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/157954
专题	兰州理工大学
通讯作者	Li, Jianping
作者单位	1.Northeastern Univ, State Key Lab Rolling & Automat, Shenyang 110819, Peoples R China; 2.Northeastern Univ, Sch Mat Sci & Engn, Shenyang 110819, Peoples R China; 3.Lanzhou Univ Technol, State Key Lab Adv Proc & Recycling Nonferrous Met, Lanzhou 730050, Peoples R China; 4.Univ Texas El Paso, Dept Met Mat & Biomed Engn, Lab Excellence Adv Steel Res, El Paso, TX 79668 USA
推荐引用方式 GB/T 7714	Wang, Dongxiao,Zhu, Qiangqiang,Wei, Zhenxiong,et al. Hot deformation behaviors of AZ91 magnesium alloy: Constitutive equation, ANN-based prediction, processing map and microstructure evolution[J]. Journal of Alloys and Compounds,2022,908.
APA	Wang, Dongxiao.,Zhu, Qiangqiang.,Wei, Zhenxiong.,Lin, Baosen.,Jing, Yi.,...&Li, Jianping.(2022).Hot deformation behaviors of AZ91 magnesium alloy: Constitutive equation, ANN-based prediction, processing map and microstructure evolution.Journal of Alloys and Compounds,908.
MLA	Wang, Dongxiao,et al."Hot deformation behaviors of AZ91 magnesium alloy: Constitutive equation, ANN-based prediction, processing map and microstructure evolution".Journal of Alloys and Compounds 908(2022).