Reprint

Numerical Modeling and Experimental Studies of Two-Phase Flows

Edited by
September 2024
238 pages
  • ISBN978-3-7258-2136-5 (Hardback)
  • ISBN978-3-7258-2135-8 (PDF)
https://doi.org/10.3390/books978-3-7258-2135-8 (registering)

This is a Reprint of the Special Issue Numerical Modeling and Experimental Studies of Two-Phase Flows that was published in

Engineering
Physical Sciences
Summary

This reprint features groundbreaking research on two-phase flows, with a focus on both numerical modeling and experimental investigations. The studies included offer comprehensive insights into the complex dynamics of two-phase flows, addressing critical aspects such as phase interactions, the influence of key parameters on flow behavior, and the development of cutting-edge computational models. Serving as an essential resource for both researchers and practitioners in fluid dynamics, this collection presents the latest methodologies and findings to enhance understanding and practical application in a wide range of fields.Key Features:

  • Detailed exploration of two-phase flow dynamics;
  • Innovative approaches in both numerical modeling and experimental research;
  • Practical applications, case studies, and real-world implications;
  • Contributions from leading experts advancing the field.
Format
  • Hardback
License and Copyright
© 2024 by the authors; CC BY-NC-ND license
Keywords
Navier–Stokes; multiphase flows; preconditioning; artificial compressibility; dual-time methods; curvilinear coordinates; bubble dynamics; BIM; toroidal bubbles; numerical simulation; cavitation; hydrodynamic loading; vortex induced vibration; vapor bubble; deformation; SPH method; phase change; Re number; cavitation; injector; PIV; POD; visualization; cavitation bubble dynamics; cone; phase change and heat transfer; OpenFOAM; pressure peak; gas–solid two-phase flow data processing; BPNN; RNN; LSTM; critical heat flux; downflow; tubes; rectangular channels; correlations; prediction; magnetohydrodynamics (MHD); Hartmann flow; two-phase; inclined stratified flow; gas–liquid; holdup; multiple solutions; cavitation; bubble cloud; orifice nozzle; water jet; flow visualization; bubble column; ultrasonic spectrometry; digital image processing; heterogeneous flow monitoring; pressure drop; two-phase flow; machine learning; feature selection; pipeline optimization; n/a

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