Intelligent modeling and monitoring of micro-droplet profiles in 3D printing
文献类型：期刊论文
| 作者 | Lin, Xin1,2; Zhu, Kunpeng1,3; Zhou, Jinxin2; Fuh, Jerry Ying Hsi2,4 |
| 刊名 | ISA TRANSACTIONS
 |
| 出版日期 | 2020-10-01 |
| 卷号 | 105 |
| 关键词 | Inkjet 3D printing Droplet profiles Monitoring RBF network |
| ISSN号 | 0019-0578 |
| DOI | 10.1016/j.isatra.2020.05.030 |
| 通讯作者 | Zhu, Kunpeng(zhukp@iamt.ac.cn) |
| 英文摘要 | The inkjet 3D printing has been one of the most studied and applied additive manufacturing (AM) processes in electronic industry. In this AM process, the forming quality is greatly influenced by the micro-droplet deposition and substrate temperature. While most studies focus on the formation mechanism of droplets, there are few studies on the quantitative evaluation of the droplet surface profile and its qualitative correlation with temperature changes. In this study, the characteristics of droplet profile in three-dimensional inkjet printing were studied from two aspects, the modeling of droplet shape and the estimation of droplet temperature. For this purpose, different types of radial basis function networks (RBFN) are applied. The validity of the regularized RBFN model is developed and verified by experiments. The results show that the droplet shape can be accurately modeled and the drying temperature can be accurately estimated given the model. (C) 2020 ISA. Published by Elsevier Ltd. All rights reserved. |
| WOS关键词 | NEURAL-NETWORKS ; INKJET ; DIAGNOSIS |
| 资助项目 | National Natural Science Foundation of China[51805384] ; National Natural Science Foundation of China[51875379] |
| WOS研究方向 | Automation & Control Systems ; Engineering ; Instruments & Instrumentation |
| 语种 | 英语 |
| WOS记录号 | WOS:000579489500029 |
| 出版者 | ELSEVIER SCIENCE INC |
| 资助机构 | National Natural Science Foundation of China |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/104548]  |
| 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.Wuhan Univ Sci & Technol, Sch Mech Automat, Wuhan 430081, Hubei, Peoples R China 2.Natl Univ Singapore, Dept Mech Engn, Singapore 117575, Singapore 3.Chinese Acad Sci, Inst Adv Mfg Technol, Hefei Inst Phys Sci, Changzhou 213164, Peoples R China 4.NUS Res Inst NUSRI, Suzhou Ind Pk, Suzhou 215123, Peoples R China |
| 推荐引用方式 GB/T 7714 | Lin, Xin,Zhu, Kunpeng,Zhou, Jinxin,et al. Intelligent modeling and monitoring of micro-droplet profiles in 3D printing[J]. ISA TRANSACTIONS,2020,105. |
| APA | Lin, Xin,Zhu, Kunpeng,Zhou, Jinxin,&Fuh, Jerry Ying Hsi.(2020).Intelligent modeling and monitoring of micro-droplet profiles in 3D printing.ISA TRANSACTIONS,105. |
| MLA | Lin, Xin,et al."Intelligent modeling and monitoring of micro-droplet profiles in 3D printing".ISA TRANSACTIONS 105(2020). |
入库方式： OAI收割
来源：合肥物质科学研究院
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