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Modelling of Convective Heat and Mass Transfer in Nanofluids with and without Boiling and Condensation

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  • © 2022

Overview

  • Provides an introduction to symmetry group analysis and self-similar forms for laminar and turbulent flows of nanofluids
  • Focuses on the methodology and results of the analytical and numerical modelling of convective heat and mass transfer
  • Includes a Step-by-step description of the use of the Lie group analysis to find symmetry forms

Part of the book series: Mathematical Engineering (MATHENGIN)

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About this book

This book presents step-by-step description of the use of Lie group analysis to find symmetry forms and similarity solutions for single- and two-phase laminar and turbulent flows of nanofluids. It outlines novel and unique analytical solutions validated via comparisons with experimental data. The main part of the book is devoted to analytical modeling of film condensation of still and moving vapor with nanoparticles, stable film boiling of nanofluids, instantaneous unsteady boiling and condensation of nano- and ordinary fluids and clarification and quantification of instability conditions in the vapor layer, as well as centrifugal and Dean instability in nanofluids. It was demonstrated that such complex phenomena can be successfully simulated using the proposed approaches validated via reliable experiments. The book is intended for scientists, engineers, graduate and undergraduate students specializing in the area of engineering thermodynamics, heat and mass transfer and energy systems.

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Keywords

Table of contents (9 chapters)

Authors and Affiliations

  • Institute of Engineering Thermophysics, National Acadamy of Sciences of Ukraine, Kyiv, Ukraine

    Andriy A. Avramenko

  • Faculty of Computer Science and Engineering Science, TH Köln/University of Applied Sciences, Gummersbach, Germany

    Igor V. Shevchuk

Bibliographic Information

  • Book Title: Modelling of Convective Heat and Mass Transfer in Nanofluids with and without Boiling and Condensation

  • Authors: Andriy A. Avramenko, Igor V. Shevchuk

  • Series Title: Mathematical Engineering

  • DOI: https://doi.org/10.1007/978-3-030-95081-1

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Hardcover ISBN: 978-3-030-95080-4Published: 13 February 2022

  • Softcover ISBN: 978-3-030-95083-5Published: 14 February 2023

  • eBook ISBN: 978-3-030-95081-1Published: 12 February 2022

  • Series ISSN: 2192-4732

  • Series E-ISSN: 2192-4740

  • Edition Number: 1

  • Number of Pages: XV, 263

  • Number of Illustrations: 90 b/w illustrations, 3 illustrations in colour

  • Topics: Engineering Mathematics, Engineering Thermodynamics, Heat and Mass Transfer, Engineering Fluid Dynamics, Computational Science and Engineering

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