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Elsevier

Nanofluids

Mathematical, Numerical, and Experimental Analysis

  • 1st Edition - January 15, 2020
  • Latest edition
  • Authors: Mohammad Hatami, Dengwei Jing
  • Language: English

Nanofluids: Mathematical, Numerical and Experimental Analysis provides a combined treatment of the numerical and experimental aspects of this crucial topic. Mathematical methods s… Read more

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Description

Nanofluids: Mathematical, Numerical and Experimental Analysis provides a combined treatment of the numerical and experimental aspects of this crucial topic. Mathematical methods such as the weighted residual method and perturbation techniques, as well as numerical methods such as Finite Element and Lattice-Boltzmann are addressed, along with experimental methods in nanofluid analysis. The effects of magnetic field, electric field and solar radiation on the optical properties and synthesis of nanofluid flow are examined and discussed as well. This book also functions as a comprehensive review of recent progress in nanofluids analysis and its application in different engineering sciences.

This book is ideal for all readers in industry or academia, along with anyone interested in nanofluids for theoretical or experimental design reasons.

Key features

  • Explains the governing equations in which magnetic or electric fields are applied
  • Gives instructions on how to confirm numerical modeling results by comparing with experimental outcomes
  • Provides detailed information on the governing equations where nanofluids are used as a working fluid

Readership

MSc and PhD students, researchers and engineers in industry with backgrounds in mechanical, energy, and chemical engineering, with an interest in modelling of nanofluids and heat transfer

Table of contents

1. Introduction to Nanofluids

1.1. History of nanofluids

1.2. Structures and different types

1.3. Nanofluids properties

1.4. Benefits and applications1.5 Other aspects of nanofluids

2. Mathematical analysis of Nanofluids

2.1 Mathematical modelling of nanofluids properties

2.2 Weighted Residual Method for nanofluid modelling

2.3 Differential Transformation Method for nanofluid modelling

2.4 Perturbation Techniques for nanofluid modelling

2.5 Other analytical/mathematical modelling

3. Numerical Analysis of Nanofluids

3.1. Finite element method in nanofluid

3.2. Finite volume method in nanofluid

3.3. Lattice-Boltzmann method in nanofluid

3.4. Finite difference method in nanofluid

3.5 Other numerical methods

4. Experimental analysis of nanofluids

4.1. Preparation of the nanofluids

4.2. Characterization methods of nanoparticle

4.3. Optical properties of Nanofluids

4.4 Experimental correlations of nanofluids properties

4.5 Other Experimental studies on nanofluids

5. Nanofluids Analysis in different areas

5.1. Nanofluids in Porous Media

5.2. Nanofluids in magnetic field (MHD-Ferrofluid)

5.3. Nanofluids in electrical field (EHD)

5.4. Nanofluids under thermal radiation

5.5 Nanofluids in permeable area

6: Nanofluids Analysis in different applications

6.1 Nanofluids for cooling and heating

6.2 Nanofluids in bio-medical applications

6.3 Nanofluids in renewable energies

6.4 Nanofluid in industry

6.5 Nanofluids analysis in other applications

Product details

  • Edition: 1
  • Latest edition
  • Published: January 15, 2020
  • Language: English

About the authors

MH

Mohammad Hatami

Mohammad Hatami is a Mechanical Engineering Associate Professor at Esfarayen University of Technology, Esfarayen, North Khorasan, Iran. He also was an associate professor at Ferdowsi University of Mashhad, and was selected as a young talent associate professor at Xi'an Jiaotong University. He completed his Ph.D. in energy conversion at Babol University of Technology whilst working as a Ph.D. visiting scholar researcher at Eindhoven University of Technology (TU/e) in the Netherlands. Dr. Hatami was previously a post-doctoral researcher at the State Key Laboratory of Multiphase Flow in Power Engineering, Xi'an Jiaotong University, in China. He has published more than 200 research papers and 10 books/chapter books in the field of experimental, mathematical and numerical modelling of nanofluids, heat recovery and acts as editor-in-chief of the Quarterly Journal of Mechanical Engineering and Innovation in Technology, Associate Editor of Fluid Dynamic & Material Processing, and an Editor for the International Journal of Mechanical Engineering (IJME), American Journal of Modelling and Optimization, and American Journal of Mechanical Engineering.
Affiliations and expertise
Associate Professor, Department of Mechanical Engineering, Esfarayen University of Technology, Esfarayen, North Khorasan, Iran

DJ

Dengwei Jing

Dengwei Jing is a full professor in Xi’an Jiaotong University and his interests of research are in the field of Energy conversion, Multiphase flow and Heat and Mass Transfer. He has published over 100 scientific papers in international journals focusing on the experimental and numerical analysis on nanofluids.
Affiliations and expertise
State Key Laboratory of Multiphase Flow in Power Engineering, Xi'an Jiaotong University, Xi'an, Shanxi, P.R. China

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