Extraction and evaluation of melt pool, plume and spatter information for powder-bed fusion AM process monitoring
文献类型：期刊论文
| 作者 | Zhang, Yingjie1; Hong, Geok Soon1,3; Ye, Dongsen2; Zhu, Kunpeng2; Fuh, Jerry Y. H.1,3 |
| 刊名 | MATERIALS & DESIGN
 |
| 出版日期 | 2018-10-15 |
| 卷号 | 156页码:458-469 |
| 关键词 | Additive manufacturing (AM) Powder-bed fusion Melt pool, plume and spatter Statistical process monitoring Support vector machines (SVM) Convolutional neural network (CNN) |
| ISSN号 | 0264-1275 |
| DOI | 10.1016/j.matdes.2018.07.002 |
| 通讯作者 | Fuh, Jerry Y. H.(jeny.fun@nus.edu.sg) |
| 英文摘要 | With the continuous development of additive manufacturing technique, the issue on built quality has caught increasing attentions. To improve the quality of built parts, the process monitoring and control has been empha-sized as a promising solution. Despite a large number of studies on the development of sensors and instrumentations, the investigation on statistical analysis, modelling and automatic anomalies detection is still at an infant stage. To advance the related research, the intelligent classification methods, support vector machines (SVM) and convolutional neural network (CNN), were proposed for quality level identification in this work A vision system with high speed camera was used for process images acquisition. The features of different objects including melt pool, plume and spatter were extracted based on the AM process understanding. The corresponding feature vectors were used as the input for the SVM classification. The results indicated the information from different objects is sensitive to different types of quality anomalies. Moreover, the combination of features from these three objects can significantly improve the classification accuracy to 90.1%. Additionally, the comparison between SVM and CNN was also conducted, the high accuracy of 92.7% for the CNN model demonstrated that it is a promising method for quality level identification by using the vision system. (C) 2018 Published by Elsevier Ltd. |
| WOS关键词 | CONVOLUTIONAL NEURAL-NETWORK ; INDUSTRIAL-PROCESS ; ANOMALY DETECTION ; LASER ; SYSTEM ; CLASSIFICATION ; MACHINE ; SLM ; DENUDATION ; MECHANISMS |
| 资助项目 | China Scholarship Council ; National University of Singapore ; National Additive Manufacturing Innovation Cluster, Singapore under a PEP project ; IDI Laser Services Pte Ltd., Singapore |
| WOS研究方向 | Materials Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000441422300044 |
| 出版者 | ELSEVIER SCI LTD |
| 资助机构 | China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; National University of Singapore ; National University of Singapore ; National University of Singapore ; National University of Singapore ; National University of Singapore ; National University of Singapore ; National University of Singapore ; National University of Singapore ; National University of Singapore ; National University of Singapore ; National University of Singapore ; National University of Singapore ; National University of Singapore ; National University of Singapore ; National University of Singapore ; National University of Singapore ; 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| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/37667]  |
| 专题 | 合肥物质科学研究院_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 | Fuh, Jerry Y. H. |
| 作者单位 | 1.Natl Univ Singapore, Dept Mech Engn, Singapore, Singapore 2.Chinese Acad Sci, Inst Adv Mfg Technol, Changzhou, Peoples R China 3.NUS Res Inst NUSRI, Suzhou Ind Pk, Suzhou 215123, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Yingjie,Hong, Geok Soon,Ye, Dongsen,et al. Extraction and evaluation of melt pool, plume and spatter information for powder-bed fusion AM process monitoring[J]. MATERIALS & DESIGN,2018,156:458-469. |
| APA | Zhang, Yingjie,Hong, Geok Soon,Ye, Dongsen,Zhu, Kunpeng,&Fuh, Jerry Y. H..(2018).Extraction and evaluation of melt pool, plume and spatter information for powder-bed fusion AM process monitoring.MATERIALS & DESIGN,156,458-469. |
| MLA | Zhang, Yingjie,et al."Extraction and evaluation of melt pool, plume and spatter information for powder-bed fusion AM process monitoring".MATERIALS & DESIGN 156(2018):458-469. |
入库方式： OAI收割
来源：合肥物质科学研究院
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