Knowledge Management System Of Institute of process engineering,CAS
| Computed tomography in process engineering | |
| Meng, Fanyong1,2 | |
| 2022-04-28 | |
| Source Publication | CHEMICAL ENGINEERING SCIENCE
 |
| ISSN | 0009-2509 |
| Volume | 252Pages:17 |
| Abstract | Computed tomography (CT), as a non-invasive measurement technique for obtaining digital sectional information, has achieved tremendous success in medical imaging and industrial fields. In process engineering, the primary concern is temporal resolution instead of spatial and density resolution, which is the key difference between process CT and traditional CT. To make this technique more suitable for dynamic and flexible measurement, quite a number of studies have been conducted, and various new tomographic techniques were put forward. In this paper, the general principle of assorted CT used in process engineering is formulated from hardware and algorithm two aspects, and state-of-the-art CT technologies are reviewed with an emphasis on key features concerned by researchers in this field. Challenges like the lack of process-orientated calibration and validation methods and data analysis algorithms for dynamic measurement are presented, together with discussions of the limitations such as high cost, safety concerns, data deluge, and other miscellaneous topics. With the breakthrough of innovative hardware and data-driven approaches like deep learning, CT will undoubtedly play an even bigger role in serving both academia and industry in process engineering. (C) 2021 Elsevier Ltd. All rights reserved. |
| Keyword | Computed tomography Process engineering Non-invasive measurement Dynamic imaging Deep learning Data fusion Virtual experimentation |
| DOI | 10.1016/j.ces.2021.117272 |
| Language | 英语 |
| WOS Keyword | X-RAY TOMOGRAPHY ; DIGITAL VOLUME CORRELATION ; IMAGE-RECONSTRUCTION ; BUBBLE-COLUMNS ; MULTIPHASE FLOW ; PIPE-FLOW ; HOLD-UP ; CT ; SOLIDS ; SIZE |
| Funding Project | National Natural Science Foundation of China[22178355] ; National Natural Science Foundation of China[62050226] ; Innovation Academy for Green Manufacture, Chinese Academy of Sciences[IAGM-2019-A13] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA21030700] |
| WOS Research Area | Engineering |
| WOS Subject | Engineering, Chemical |
| Funding Organization | National Natural Science Foundation of China ; Innovation Academy for Green Manufacture, Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences |
| WOS ID | WOS:000810111200008 |
| Publisher | PERGAMON-ELSEVIER SCIENCE LTD |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ipe.ac.cn/handle/122111/53948 |
| Collection | 中国科学院过程工程研究所 |
| Corresponding Author | Meng, Fanyong |
| Affiliation | 1.Chinese Acad Sci, Inst Proc Engn, State Key Lab Multiphase Complex Syst, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Chem Engn, Beijing 100049, Peoples R China |
| Recommended Citation GB/T 7714 | Meng, Fanyong. Computed tomography in process engineering[J]. CHEMICAL ENGINEERING SCIENCE,2022,252:17. |
| APA | Meng, Fanyong.(2022).Computed tomography in process engineering.CHEMICAL ENGINEERING SCIENCE,252,17. |
| MLA | Meng, Fanyong."Computed tomography in process engineering".CHEMICAL ENGINEERING SCIENCE 252(2022):17. |
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