Modeling and Simulation of Nanofluid Flow Problems / by Snehashish Chakraverty, Uddhaba Biswal
By: Chakraverty, Snehashish, autor
Contributor(s): Biswal, Uddhaba, autor
Material type:
E-bookSeries: (Synthesis Lectures on Mechanical Engineering, 2573-3176).Publisher: Cham : Springer International Publishing, 2020Edition: 1st edition 2020.Description: 1 recurso en línea (XIII, 76 páginas).ISBN: 9783031796579.Subject: Nanotecnología
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | TJ853.4.M53 2020 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.01113112 |
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| TJ853.4.M53 2019 EB Micro-Electrode-Dot-Array Digital Microfluidic Biochips : Design Automation, Optimization, and Test Techniques | TJ853.4.M53 2019 EB Paper Microfluidics : Theory and Applications | TJ853.4 .M53 2020 EB Designing Droplet Microfluidic Networks : A Toolbox for Designers | TJ853.4.M53 2020 EB Modeling and Simulation of Nanofluid Flow Problems | TJ853.4.M53 2022 EB Modelling of Convective Heat and Mass Transfer in Nanofluids with and without Boiling and Condensation | TJ853.4.M53 C667 2018 EB Complex Fluid-Flows in Microfluidics | TJ853.4.M53 D464 2018 EB Topology Optimization Theory for Laminar Flow Applications in Inverse Design of Microfluidics |
Preface -- Acknowledgments -- Introduction to Nanofluid -- Numerical Methods -- Nanofluid Flow Between Two Inclined Planes -- Nanofluid Flow in Semi-Porous Channel -- Nanofluid Flow Between Two Vertical Parallel Walls -- Authors' Biographies.
In general, nanofluid is suspension of nanometer-sized particle in base fluids such as water, oil, ethylene glycol mixture etc. Nanofluid has more thermal conductivity compared to the base fluids. As such, the nanofluid has more heat transfer capacity than the base fluids. In order to study nanofluid flow problems, we need to solve related nonlinear differential equations analytically or numerically. But in most cases, we may not get an analytical solution. Accordingly, the related nonlinear differential equations need to be solved by efficient numerical methods. Accordingly, this book addresses various challenging problems related to nanofluid flow. In this regard, different efficient numerical methods such as homotopy perturbation method, Galerkin's method, and least square method are included. Further, the above practical problems are validated in special cases. We believe that this book will be very beneficial for readers who want firsthand knowledge on how to solve nanofluid flow problems.
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