Powder-Bed Fusion Process Monitoring by Machine Vision With Hybrid Convolutional Neural Networks

doi:10.1109/TII.2019.2956078

	Powder-Bed Fusion Process Monitoring by Machine Vision With Hybrid Convolutional Neural Networks
	Zhang, Yingjie 2,3; Soon, Hong Geok 2,3; Ye, Dongsen 1; Fuh, Jerry Ying Hsi 2,3; Zhu, Kunpeng 1
刊名	IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
	2020-09-01
卷号	16
关键词	Feature extraction Cameras Fiber lasers Laser modes Convolutional neural nets Additive manufacturing condition monitoring convolutional neural networks (CNNs) melt-pool-affected zone powder-bed fusion (PBF)
ISSN号	1551-3203
DOI	10.1109/TII.2019.2956078
通讯作者	Zhu, Kunpeng(zhukp@iamt.ac.cn)
英文摘要	In this article, a method of hybrid convolutional neural networks (CNNs) is proposed for powder-bed fusion (PBF) process monitoring. The proposed method can learn both the spatial and temporal representative features from the raw images automatically based on the advantages of the CNN architecture. The results demonstrate the superior performance of the proposed method compared with the traditional methods with handcrafted features. The overall detection accuracy of four process conditions, e.g., overheating, normal, irregularity, and balling, can be up to 0.997. In addition, it is found that the temporal information for PBF process monitoring by the vision detection of the process zone (including melt pool, plume, and spatters) is significant. As the proposed method can save image processing steps, it simplifies the procedure on feature extraction. This makes it more suitable for online monitoring applications.
资助项目	National Natural Science Foundation of China[51875379] ; National Additive Manufacturing Innovation Cluster, Singapore, under a PEP Project ; IDI Laser Services Pte Ltd., Singapore
WOS关键词	RECOGNITION
WOS研究方向	Automation & Control Systems ; Computer Science ; Engineering
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000542966300013
资助机构	National Natural Science Foundation of China ; National Additive Manufacturing Innovation Cluster, Singapore, under a PEP Project ; IDI Laser Services Pte Ltd., Singapore
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/71067]
专题	中国科学院合肥物质科学研究院
通讯作者	Zhu, Kunpeng
作者单位	1.Chinese Acad Sci, Inst Adv Mfg Technol, Changzhou 213164, Peoples R China 2.NUS Res Inst NUSRI, Suzhou Ind Pk, Suzhou 215123, Peoples R China 3.Natl Univ Singapore, Dept Mech Engn, Singapore 119077, Singapore
推荐引用方式 GB/T 7714	Zhang, Yingjie,Soon, Hong Geok,Ye, Dongsen,et al. Powder-Bed Fusion Process Monitoring by Machine Vision With Hybrid Convolutional Neural Networks[J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,2020,16.
APA	Zhang, Yingjie,Soon, Hong Geok,Ye, Dongsen,Fuh, Jerry Ying Hsi,&Zhu, Kunpeng.(2020).Powder-Bed Fusion Process Monitoring by Machine Vision With Hybrid Convolutional Neural Networks.IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,16.
MLA	Zhang, Yingjie,et al."Powder-Bed Fusion Process Monitoring by Machine Vision With Hybrid Convolutional Neural Networks".IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 16(2020).