In situ monitoring of selective laser melting using plume and spatter signatures by deep belief networks
Ye, Dongsen1,2,3; Fuh, Jerry Ying Hsi2; Zhang, Yingjie2; Hong, Geok Soon2; Zhu, Kunpeng3
2018-10-01
发表期刊ISA TRANSACTIONS
ISSN0019-0578
卷号81页码:96-104
通讯作者Zhu, Kunpeng(zhukp@iamt.ac.cn)
摘要Critical quality issues such as high porosity, cracks, and delamination are common in current selective laser melting (SLM) manufactured components. This study provides a flexible and integrated method for in situ process monitoring and melted state recognition during the SLM process, and it is useful for process optimization to decrease part quality issues. The part qualities are captured by images obtained from an off-axis setup with a near-infrared (NIR) camera. Plume and spatter signatures are closely related to the melted states and laser energy density, and they are employed for the SLM process monitoring in an adapted deep belief network (DBN) framework. The melted state recognition with the improved DBN and original NIR images requires little signal preprocessing, less parameter selection and feature extraction, obtaining the classification rate 83.40% for five melted states. Compared to the other methods of neural network (NN) and convolutional neural networks (CNN), the proposed DBN approach is identified to be accurate, convenient, and suitable for the SLM process monitoring and part quality recognition.
关键词Deep belief network Selective laser melting Melted state recognition Plume and patter Process monitoring
资助者China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; Chinese Academy of Sciences 100 Talents Program ; Chinese Academy of Sciences 100 Talents Program ; Chinese Academy of Sciences 100 Talents Program ; Chinese Academy of Sciences 100 Talents Program ; National University of Singapore ; National University of Singapore ; National University of Singapore ; National University of Singapore ; National Additive Manufacturing Innovation Cluster, Singapore ; National Additive Manufacturing Innovation Cluster, Singapore ; National Additive Manufacturing Innovation Cluster, Singapore ; National Additive Manufacturing Innovation Cluster, Singapore ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; Chinese Academy of Sciences 100 Talents Program ; Chinese Academy of Sciences 100 Talents Program ; Chinese Academy of Sciences 100 Talents Program ; Chinese Academy of Sciences 100 Talents Program ; National University of Singapore ; National University of Singapore ; National University of Singapore ; National University of Singapore ; National Additive Manufacturing Innovation Cluster, Singapore ; National Additive Manufacturing Innovation Cluster, Singapore ; National Additive Manufacturing Innovation Cluster, Singapore ; National Additive Manufacturing Innovation Cluster, Singapore ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; Chinese Academy of Sciences 100 Talents Program ; Chinese Academy of Sciences 100 Talents Program ; Chinese Academy of Sciences 100 Talents Program ; Chinese Academy of Sciences 100 Talents Program ; National University of Singapore ; National University of Singapore ; National University of Singapore ; National University of Singapore ; National Additive Manufacturing Innovation Cluster, Singapore ; National Additive Manufacturing Innovation Cluster, Singapore ; National Additive Manufacturing Innovation Cluster, Singapore ; National Additive Manufacturing Innovation Cluster, Singapore ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; Chinese Academy of Sciences 100 Talents Program ; Chinese Academy of Sciences 100 Talents Program ; Chinese Academy of Sciences 100 Talents Program ; Chinese Academy of Sciences 100 Talents Program ; National University of Singapore ; National University of Singapore ; National University of Singapore ; National University of Singapore ; National Additive Manufacturing Innovation Cluster, Singapore ; National Additive Manufacturing Innovation Cluster, Singapore ; National Additive Manufacturing Innovation Cluster, Singapore ; National Additive Manufacturing Innovation Cluster, Singapore
DOI10.1016/j.isatra.2018.07.021
关键词[WOS]POWDER-BED FUSION ; STAINLESS-STEEL ; FAULT-DIAGNOSIS ; NEURAL-NETWORK ; SPECTROSCOPY ; BEHAVIOR
收录类别SCI
语种英语
资助项目China Scholarship Council ; Chinese Academy of Sciences 100 Talents Program ; National University of Singapore ; National Additive Manufacturing Innovation Cluster, Singapore
资助者China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; Chinese Academy of Sciences 100 Talents Program ; Chinese Academy of Sciences 100 Talents Program ; Chinese Academy of Sciences 100 Talents Program ; Chinese Academy of Sciences 100 Talents Program ; National University of Singapore ; National University of Singapore ; National University of Singapore ; National University of Singapore ; National Additive Manufacturing Innovation Cluster, Singapore ; National Additive Manufacturing Innovation Cluster, Singapore ; National Additive Manufacturing Innovation Cluster, Singapore ; National Additive Manufacturing Innovation Cluster, Singapore ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; Chinese Academy of Sciences 100 Talents Program ; Chinese Academy of Sciences 100 Talents Program ; Chinese Academy of Sciences 100 Talents Program ; Chinese Academy of Sciences 100 Talents Program ; National University of Singapore ; National University of Singapore ; National University of Singapore ; National University of Singapore ; National Additive Manufacturing Innovation Cluster, Singapore ; National Additive Manufacturing Innovation Cluster, Singapore ; National Additive Manufacturing Innovation Cluster, Singapore ; National Additive Manufacturing Innovation Cluster, Singapore ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; Chinese Academy of Sciences 100 Talents Program ; Chinese Academy of Sciences 100 Talents Program ; Chinese Academy of Sciences 100 Talents Program ; Chinese Academy of Sciences 100 Talents Program ; National University of Singapore ; National University of Singapore ; National University of Singapore ; National University of Singapore ; National Additive Manufacturing Innovation Cluster, Singapore ; National Additive Manufacturing Innovation Cluster, Singapore ; National Additive Manufacturing Innovation Cluster, Singapore ; National Additive Manufacturing Innovation Cluster, Singapore ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; Chinese Academy of Sciences 100 Talents Program ; Chinese Academy of Sciences 100 Talents Program ; Chinese Academy of Sciences 100 Talents Program ; Chinese Academy of Sciences 100 Talents Program ; National University of Singapore ; National University of Singapore ; National University of Singapore ; National University of Singapore ; National Additive Manufacturing Innovation Cluster, Singapore ; National Additive Manufacturing Innovation Cluster, Singapore ; National Additive Manufacturing Innovation Cluster, Singapore ; National Additive Manufacturing Innovation Cluster, Singapore
WOS研究方向Automation & Control Systems ; Engineering ; Instruments & Instrumentation
WOS类目Automation & Control Systems ; Engineering, Multidisciplinary ; Instruments & Instrumentation
WOS记录号WOS:000449897700010
出版者ELSEVIER SCIENCE INC
引用统计
被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.hfcas.ac.cn:8080/handle/334002/34158
专题中科院合肥物质科学研究院先进制造技术研究所
通讯作者Zhu, Kunpeng
作者单位1.Univ Sci & Technol China, Dept Automat, Hefei 230026, Anhui, Peoples R China
2.Natl Univ Singapore, Dept Mech Engn, Singapore 117575, Singapore
3.Chinese Acad Sci, Inst Adv Mfg Technol, Changzhou 213164, Peoples R China
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Ye, Dongsen,Fuh, Jerry Ying Hsi,Zhang, Yingjie,et al. In situ monitoring of selective laser melting using plume and spatter signatures by deep belief networks[J]. ISA TRANSACTIONS,2018,81:96-104.
APA Ye, Dongsen,Fuh, Jerry Ying Hsi,Zhang, Yingjie,Hong, Geok Soon,&Zhu, Kunpeng.(2018).In situ monitoring of selective laser melting using plume and spatter signatures by deep belief networks.ISA TRANSACTIONS,81,96-104.
MLA Ye, Dongsen,et al."In situ monitoring of selective laser melting using plume and spatter signatures by deep belief networks".ISA TRANSACTIONS 81(2018):96-104.
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