Microstructure based on selective laser melting and mechanical properties prediction through artificial neural net

doi:10.12073/j.hjxb.2019400162

	Microstructure based on selective laser melting and mechanical properties prediction through artificial neural net
	Yang, Tianyu1 ; Zhang, Penglin1 ; Yin, Yan1 ; Liu, Wenzhao 1; Zhang, Ruihua 2,3
	2019-06-25
发表期刊	Hanjie Xuebao/Transactions of the China Welding Institution
ISSN	0253360X
卷号	40 期号:6 页码:100-106
摘要	Selective laser melting has been applied to fabricate 18Ni300. SEM is used to observe dendritic growth orientation and solidification structure. Artificial neural network is applied to rank the respective importance of laser power, scanning speed and scanning space for mechanical properties, while BP neural net with improved weight by genetic algorithm is applied to the prediction of tensile property. Results show that the main structure of the specimen is columnar dendritic crystals with significant epitaxial growth. The orientation of the growth is determined by the solidification condition at the bottom of the molten pool. CET can easily take place on the top of the melting pool. Meanwhile, there is transition zone in other places contributed by the thermo capillary convection. The result of the importance prediction by artificial neural network shows: They order from high to low is laser power, scanning speed and scanning space.Since the prediction results agree with the actual ones, BP neural net can effectively predict actual results. The determination coefficient R2 = 0.73. © 2019, Editorial Board of Transactions of the China Welding Institution, Magazine Agency Welding. All right reserved.
关键词	Backpropagation Crystal structure Forecasting Genetic algorithms Mechanical properties Melting Microstructure Scanning Selective laser melting Solidification 18Ni300 Artificial networks Artificial neural net Dendritic crystal Dendritic growth Determination coefficients Solidification condition Solidification structure
DOI	10.12073/j.hjxb.2019400162
收录类别	EI
语种	中文
出版者	Harbin Research Institute of Welding
EI入藏号	20194107519578
EI主题词	Neural networks
EI分类号	723.4 Artificial Intelligence - 802.3 Chemical Operations - 933.1.1 Crystal Lattice - 951 Materials Science
来源库	Compendex
分类代码	723.4 Artificial Intelligence - 802.3 Chemical Operations - 933.1.1 Crystal Lattice - 951 Materials Science
引用统计	无
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/114752
专题	材料科学与工程学院继续教育学院
作者单位	1.State Key Laboratory of Advanced Processing and Recycling of Nonferrous Metals, Lanzhou University of Technology, Lanzhou; 730050, China; 2.China Iron & Steel Research Institute Group, Beijing; 100081, China; 3.Hardware Knife Cut Industrial Technology Research Institute Yangjiang, Yangjiang; 529533, China
第一作者单位	兰州理工大学
第一作者的第一单位	兰州理工大学
推荐引用方式 GB/T 7714	Yang, Tianyu,Zhang, Penglin,Yin, Yan,et al. Microstructure based on selective laser melting and mechanical properties prediction through artificial neural net[J]. Hanjie Xuebao/Transactions of the China Welding Institution,2019,40(6):100-106.
APA	Yang, Tianyu,Zhang, Penglin,Yin, Yan,Liu, Wenzhao,&Zhang, Ruihua.(2019).Microstructure based on selective laser melting and mechanical properties prediction through artificial neural net.Hanjie Xuebao/Transactions of the China Welding Institution,40(6),100-106.
MLA	Yang, Tianyu,et al."Microstructure based on selective laser melting and mechanical properties prediction through artificial neural net".Hanjie Xuebao/Transactions of the China Welding Institution 40.6(2019):100-106.