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Imaging Gas Flow in Gas–Solid Catalytic Systems by Near-Infrared Tomography

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Imaging Gas Flow in Gas–Solid Catalytic Systems by Near-Infrared Tomography. / Aiouache, Farid.
Advances in Chemical Engineering. Academic Press Inc., 2017. p. 203-280 (Advances in Chemical Engineering; Vol. 50).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

Harvard

Aiouache, F 2017, Imaging Gas Flow in Gas–Solid Catalytic Systems by Near-Infrared Tomography. in Advances in Chemical Engineering. Advances in Chemical Engineering, vol. 50, Academic Press Inc., pp. 203-280. https://doi.org/10.1016/bs.ache.2017.07.002

APA

Aiouache, F. (2017). Imaging Gas Flow in Gas–Solid Catalytic Systems by Near-Infrared Tomography. In Advances in Chemical Engineering (pp. 203-280). (Advances in Chemical Engineering; Vol. 50). Academic Press Inc.. https://doi.org/10.1016/bs.ache.2017.07.002

Vancouver

Aiouache F. Imaging Gas Flow in Gas–Solid Catalytic Systems by Near-Infrared Tomography. In Advances in Chemical Engineering. Academic Press Inc. 2017. p. 203-280. (Advances in Chemical Engineering). doi: 10.1016/bs.ache.2017.07.002

Author

Aiouache, Farid. / Imaging Gas Flow in Gas–Solid Catalytic Systems by Near-Infrared Tomography. Advances in Chemical Engineering. Academic Press Inc., 2017. pp. 203-280 (Advances in Chemical Engineering).

Bibtex

@inbook{b2506a8bfc4f4e2bbacbd418fb680044,
title = "Imaging Gas Flow in Gas–Solid Catalytic Systems by Near-Infrared Tomography",
abstract = "Near-infrared imaging of 2D and 3D spatial resolutions allowed access to behavior of flowing gases and catalyst activity by measuring spatial distribution of composition and temperature in packed beds of low light scattering, subject to wall effects, and nonisothermal conditions. Water vapor was used as tracing species owing to high absorption coefficient in the near-infrared spectrum. Heterogeneous distribution of activity, flow maldistribution, and dynamic lags between the local mixing zones were observed and quantified. The uneven distribution of concentration and temperature highlighted the importance of mass and heat transport at gas–solid boundaries. The spatial resolution of near-infrared imaging was of importance to give reliable profiles of physical data, and dispersion coefficients and local activity were cited as examples of acceptable validation. The results were a proven stage for further developments, particularly those anticipated with infrared technology. However, key to that would be the development of affordable tunable lasers, optical accessories, and focal planar array sensors of similar sensitivities to those available in the near-infrared spectrum, allowing the technique to be applied to packed beds and other nontransparent reactive media.",
keywords = "Flow, Modeling, Near-infrared imaging, Spatially resolved, Tomography, Visualization",
author = "Farid Aiouache",
note = "Publisher Copyright: {\textcopyright} 2017 Elsevier Inc.",
year = "2017",
month = nov,
day = "15",
doi = "10.1016/bs.ache.2017.07.002",
language = "English",
series = "Advances in Chemical Engineering",
publisher = "Academic Press Inc.",
pages = "203--280",
booktitle = "Advances in Chemical Engineering",
address = "United States",

}

RIS

TY - CHAP

T1 - Imaging Gas Flow in Gas–Solid Catalytic Systems by Near-Infrared Tomography

AU - Aiouache, Farid

N1 - Publisher Copyright: © 2017 Elsevier Inc.

PY - 2017/11/15

Y1 - 2017/11/15

N2 - Near-infrared imaging of 2D and 3D spatial resolutions allowed access to behavior of flowing gases and catalyst activity by measuring spatial distribution of composition and temperature in packed beds of low light scattering, subject to wall effects, and nonisothermal conditions. Water vapor was used as tracing species owing to high absorption coefficient in the near-infrared spectrum. Heterogeneous distribution of activity, flow maldistribution, and dynamic lags between the local mixing zones were observed and quantified. The uneven distribution of concentration and temperature highlighted the importance of mass and heat transport at gas–solid boundaries. The spatial resolution of near-infrared imaging was of importance to give reliable profiles of physical data, and dispersion coefficients and local activity were cited as examples of acceptable validation. The results were a proven stage for further developments, particularly those anticipated with infrared technology. However, key to that would be the development of affordable tunable lasers, optical accessories, and focal planar array sensors of similar sensitivities to those available in the near-infrared spectrum, allowing the technique to be applied to packed beds and other nontransparent reactive media.

AB - Near-infrared imaging of 2D and 3D spatial resolutions allowed access to behavior of flowing gases and catalyst activity by measuring spatial distribution of composition and temperature in packed beds of low light scattering, subject to wall effects, and nonisothermal conditions. Water vapor was used as tracing species owing to high absorption coefficient in the near-infrared spectrum. Heterogeneous distribution of activity, flow maldistribution, and dynamic lags between the local mixing zones were observed and quantified. The uneven distribution of concentration and temperature highlighted the importance of mass and heat transport at gas–solid boundaries. The spatial resolution of near-infrared imaging was of importance to give reliable profiles of physical data, and dispersion coefficients and local activity were cited as examples of acceptable validation. The results were a proven stage for further developments, particularly those anticipated with infrared technology. However, key to that would be the development of affordable tunable lasers, optical accessories, and focal planar array sensors of similar sensitivities to those available in the near-infrared spectrum, allowing the technique to be applied to packed beds and other nontransparent reactive media.

KW - Flow

KW - Modeling

KW - Near-infrared imaging

KW - Spatially resolved

KW - Tomography

KW - Visualization

U2 - 10.1016/bs.ache.2017.07.002

DO - 10.1016/bs.ache.2017.07.002

M3 - Chapter

AN - SCOPUS:85032267849

T3 - Advances in Chemical Engineering

SP - 203

EP - 280

BT - Advances in Chemical Engineering

PB - Academic Press Inc.

ER -