Motion feature based melt pool monitoring for selective laser melting process
文献类型：期刊论文
| 作者 | Lin, Xin1,5; Wang, Qisheng2,3; Fuh, Jerry Ying Hsi4,6; Zhu, Kunpeng1,2 |
| 刊名 | JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
 |
| 出版日期 | 2022-05-01 |
| 卷号 | 303 |
| 关键词 | Selective laser melting Motion feature of melt pool Intelligent online monitoring Connected component analysis K-means clustering |
| ISSN号 | 0924-0136 |
| DOI | 10.1016/j.jmatprotec.2022.117523 |
| 通讯作者 | Zhu, Kunpeng(zhukp@iamt.ac.cn) |
| 英文摘要 | Since various build defects in the Selective laser melting (SLM) process are found to be associated with the instability of melt pool, the melt pool monitoring is particularly important for the final product quality control. Previous studies focus on the geometric features to describe the changes of the size and shape of melt pool, which are not sufficient to characterize the dynamic variations of the melt pool during the build process monitoring. To solve this problem, a new motion feature is introduced to describe the moving melt pool. The melt pool and spatters are extracted by thresholds combined with the connected component analysis method. The distance between the centroid and the boundary of melt pool is calculated from the unfolded clockwise at a step angle, which constructs a high dimensional feature vector as the motion features. The k-means clustering algorithm is applied to cluster the motion features under varied process parameters, aiming at construct the link between the melt pool states and processing parameter for the quality control. The research results have shown that the extracted motion features can describe the variation of melt pool more accurately than the traditional geometric features, and they can distinguish the moving direction and melted states of over melting, partial melting and defects simultaneously. This research provides a new approach for intelligent online monitoring of the SLM process. |
| WOS关键词 | POWDER-BED FUSION ; GAIT RECOGNITION ; DEFECT DETECTION ; AM PROCESS ; SPATTER ; CLASSIFICATION ; INFORMATION ; PARAMETERS ; MORPHOLOGY ; SIGNATURE |
| 资助项目 | National Natural Science Foundation of China[51805384] ; National Natural Science Foundation of China[51875379] ; National Key Research and Development Program of China ; Chinese Ministry of Science and Technology[2018YFB1703200] |
| WOS研究方向 | Engineering ; Materials Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000761087500003 |
| 出版者 | ELSEVIER SCIENCE SA |
| 资助机构 | National Natural Science Foundation of China ; National Key Research and Development Program of China ; Chinese Ministry of Science and Technology |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/127790]  |
| 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, Precis Mfg Inst, Wuhan 430081, Peoples R China 2.Chinese Acad Sci, Inst Intelligent Machines, Hefei Inst Phys Sci, Huihong Bldg,Changwu Middle Rd 801, Changzhou 213164, Jiangsu, Peoples R China 3.Univ Sci & Technol China, Dept Sci Isl, Hefei 230026, Anhui, Peoples R China 4.Natl Univ Singapore, Dept Mech Engn, Singapore 119077, Singapore 5.Wuhan Univ Sci & Technol, Key Lab Met Equipment & Control Technol, Minist Educ, Wuhan 430081, Peoples R China 6.Natl Univ Singapore Suzhou, Res Inst, Suzhou Ind Pk, Suzhou 215128, Peoples R China |
| 推荐引用方式 GB/T 7714 | Lin, Xin,Wang, Qisheng,Fuh, Jerry Ying Hsi,et al. Motion feature based melt pool monitoring for selective laser melting process[J]. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY,2022,303. |
| APA | Lin, Xin,Wang, Qisheng,Fuh, Jerry Ying Hsi,&Zhu, Kunpeng.(2022).Motion feature based melt pool monitoring for selective laser melting process.JOURNAL OF MATERIALS PROCESSING TECHNOLOGY,303. |
| MLA | Lin, Xin,et al."Motion feature based melt pool monitoring for selective laser melting process".JOURNAL OF MATERIALS PROCESSING TECHNOLOGY 303(2022). |
入库方式： OAI收割
来源：合肥物质科学研究院
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。