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Tomographic Techniques for Characterising Particulate Processes
Author(s) -
Williams Richard A.,
Xie ChengGang
Publication year - 1993
Publication title -
particle and particle systems characterization
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.877
H-Index - 56
eISSN - 1521-4117
pISSN - 0934-0866
DOI - 10.1002/ppsc.19930100507
Subject(s) - instrumentation (computer programming) , particulates , modality (human–computer interaction) , computer science , process (computing) , tomographic reconstruction , process engineering , environmental science , remote sensing , artificial intelligence , iterative reconstruction , engineering , geology , chemistry , organic chemistry , operating system
A review of existing and developing process tomographic instrumentation suitable for characterising dry and wet particulate systems is presented. Factors governing the selection of sensing techniques appropriate for static and dynamic imaging of a wide range of single and multiphase particulate processes are discussed. The paper presents a systematic comparison of different image reconstruction methods. Examples of existing, developing and proven applications are cited. Future needs and ways in which these needs can be met are suggested, including the use of multi‐modality methods in which different types of sensing methods are embodied in a single tomographic instrument.