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Computed tomography in process engineering

文献类型：期刊论文

作者Meng, Fanyong1,2
刊名CHEMICAL ENGINEERING SCIENCE
出版日期2022-04-28
卷号252页码:17
关键词Computed tomography Process engineering Non-invasive measurement Dynamic imaging Deep learning Data fusion Virtual experimentation
ISSN号0009-2509
DOI10.1016/j.ces.2021.117272
英文摘要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.
WOS关键词X-RAY TOMOGRAPHY ; DIGITAL VOLUME CORRELATION ; IMAGE-RECONSTRUCTION ; BUBBLE-COLUMNS ; MULTIPHASE FLOW ; PIPE-FLOW ; HOLD-UP ; CT ; SOLIDS ; SIZE
资助项目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研究方向Engineering
语种英语
WOS记录号WOS:000810111200008
出版者PERGAMON-ELSEVIER SCIENCE LTD
资助机构National Natural Science Foundation of China ; Innovation Academy for Green Manufacture, Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences
源URL[http://ir.ipe.ac.cn/handle/122111/53947]  
专题中国科学院过程工程研究所
通讯作者Meng, Fanyong
作者单位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
推荐引用方式
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.

入库方式： OAI收割

来源：过程工程研究所

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