Model-based Flow Regime Identification

Model-Based Flow Regime Identification is a flow regime identification approach that belongs to the class of model-based methods, distinguished by its reliance on physical or mathematical models of two-phase flow dynamics to infer flow patterns through analytical or simulation-based matching with observed system behavior.

19

Publications

1.2K

Citations

59

Authors

37

Institutions

Publications per year

2017–2026

7

Authors

59

  1. MI
    Mamoru Ishii

    Purdue University West Lafayette, United States

    2 publications · 104 citations

    2

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  2. NK
    Nam-seok Kim

    Purdue University West Lafayette, United States

    2 publications · 104 citations

    2

    h-index

  3. AC
    Alejandro Clausse

    Consejo Nacional de Investigaciones Científicas y Técnicas, Argentina

    1 publications · 115 citations

    1

    h-index

  4. YZ
    Yongchao Zhang

    Jiangsu University, China

    1 publications · 106 citations

    1

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  5. TT
    Tatiana Tambouratzis

    University of Piraeus, Greece

    1 publications · 40 citations

    1

    h-index

1–5 of 59

Venues

  1. Nuclear Engineering and Design

    4 publications · 322 citations

    4

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  2. Powder Technology

    2 publications · 68 citations

    2

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  3. 1

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  4. Hydrological Sciences Journal

    1 publications · 46 citations

    1

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  5. 1

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1–5