Applications of Nanofluid for Heat Transfer Enhancement

Dr. Mohsen Sheikholeslami is the Head of the Renewable Energy Systems and Nanofluid Applications in Heat Transfer Laboratory at the Babol Noshirvani University of Technology, in Iran. He was the first scientist to develop a novel numerical method (CVFEM) in the field of heat transfer and published a book based on this work, entitled "Application of Control Volume Based Finite Element Method (CVFEM) for Nanofluid Flow and Heat Transfer". He was selected as a Web of Science Highly Cited Researcher (Top 0.01%) by Clarivate Analytics, and he was ranked first in the field of mechanical engineering and transport globally (2020-2021) according to data published by Elsevier. Dr. Sheikholeslami has authored a number of books and is a member of the Editorial Boards of the ‘International Journal of Heat and Technology’ and ‘Recent Patents on Nanotechnology’. D. D. Ganji is a Professor of Mechanical Engineering and the Director of the Graduate Program at Babol Noshirvani University of Technology in Iran, as well as a consultant in nonlinear dynamics and the Dean of the National Elite Foundation of Iran. He has a Ph.D. in Mechanical Engineering from Tarbiat Modarres University. He is the Editor-in-Chief of International Journal of Nonlinear Dynamic and Engineering Science, and Editor of International Journal of Nonlinear Sciences and Numerical Simulation and International Journal of Differential Equations.

1. Nanofluid: Definition and Applications 2. Nanofluid Natural Convection Heat Transfer 3. Nanofluid Forced Convection Heat Transfer 4. Nanofluid Flow and Heat Transfer in the Presence of Thermal Radiation 5. Nanofluid Flow and Heat Transfer in the Presence of Electric Field 6. Nanofluid Flow and Heat Transfer in the Presence of Constant Magnetic Field 7. Nanofluid Flow and Heat Transfer in the Presence of Variable Magnetic Field 8. Nanofluid Conductive Heat Transfer in Solidification Mechanism 9. Nanofluid Flow and Heat Transfer in Porous Media Appendix: Sample Codes for New Semianalytical and Numerical Methods