Cited by 224Fluid Dynamics and MixingMinerals Flotation and Separation TechniquesGranular flow and fluidized beds

Theoretical prediction of volumetric mass transfer coefficients in bubble columns for Newtonian and non-Newtonian fluids

Kawase, Y., Halard, B., Moo-Young, M.·1987·Chemical Engineering Science

Integrity signals

Registry

Crossref · 10.1016/0009-2509(87)80165-3

Cites

24 of 24 references verified0 citation errors · 0 not checkable

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  • Kawase et al. correlation predictions agree with experimental data with a percentage of 25% for Newtonian fluids and 24% for non-Newtonian fluids.

    “The comparison between the predictions given by their correlation agrees with experimental data available in the literature with a percentage of 25% in the case of Newtonian fluids and 24% in the case of non-Newtonian fluids for quite a wide range of conditions.”

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Authors
Kawase, Y., Halard, B., & Moo-Young, M.
Affiliations
University of Waterloo (CA)
Venue
Chemical Engineering Science
Publisher
Elsevier BV
Published
1987
Volume
42
Issue
7
Pages
1609-1617
ISSN
0009-2509 (ISSN-L)
OpenAlex
W2059714664
Cited by
224
References
24
Citations by year
2026: 10 · 2025: 9 · 2024: 6 · 2023: 4 · 2022: 12 · 2021: 3 · 2020: 10 · 2019: 12 · 2018: 11 · 2017: 6 · 2016: 14 · 2015: 7 · 2014: 7 · 2013: 7 · 2012: 5
FWCI
3.31
Type
journal article
Language
en
Open access
closed
Locations
Chemical Engineering Science (publishedVersion)
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Fluid Dynamics and Mixing
  • Physical Sciences › Environmental Science › Water Science and Technology › Minerals Flotation and Separation Techniques
  • Physical Sciences › Engineering › Computational Mechanics › Granular flow and fluidized beds
Keywords
volumetric mass transfer coefficient, bubble column, Higbie penetration theory, non-Newtonian fluids, Newtonian fluid, mass transfer modeling

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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