Nanofluids and Nano Composites for Energy Systems

Dr. Dharmendra Tripathi has been working as an associate professor in the Department of Mathematics, National Institute of Technology, Uttarakhand. Prior to joining NIT Uttarakhand, he has worked more than 11 years as a faculty member (associate professor, assistant professor) in various reputed institutions like Manipal University Jaipur, NIT Delhi, IIT Ropar, and BITS Pilani Hyderabad. He has completed his Ph.D. in Applied Mathematics (Mathematical Modeling of Physiological flows) in 2009 from Indian Institute of Technology BHU and M.Sc. in Mathematics from Banaras Hindu University.Dr. Ravi Kumar Sharma has been working as Professor in the Department of Mechanical Engineering at Manipal University Jaipur. He earned his Ph.D. in Thermal Engineering from the University of Malaya, Malaysia, and has worked in various reputed Indian and foreign universities. He has published more than 80 research articles in international journals of repute and presented his research work in many international conferences in India and abroad. He has also written 7 book chapters, edited four books, and reviewed many international journals. He has also delivered numerous invited/keynote speeches in FDP/STTP/Workshops and conferences. His current area of research is renewable energy and thermal energy storage, in particular solar energy. His primary research is focused on the development of phase change materials or rapid heat transfer by enhancing their thermal conductivity.Dr. Pradeep G. Siddheshwar has been working as senior professor in Department of Mathematics, Christ University, Bangalore. Prior to joining Christ University, he has worked more than 40 years as faculty member (professor, associate professor, assistant professor) in reputed institutions like Bangalore University. He has completed his Ph.D. in Applied Mathematics in 1986 from Bangalore University and M.Sc. in Mathematics from Karnataka University. His research work is focused on the heat transfer, Newtonian and non-Newtonian fluids, nanofluids, linear and nonlinear stability. His current work involves parameter-driven-dynamical-systems of the extended-Lorenz-Model type with two or three quadratic nonlinearities. Due to the fact that shallow neural networks do not aptly model such systems, very-deep-neural-networks are being used. Regular convection, weakly chaotic and strongly chaotic motions, and periodic motions are studied using bifurcation diagrams, largest Lyapunov exponents, frequency spectrum, and fractal dimension.Prof. Khaleed S. Mekheimer was born in Egypt in 1963, received a B.Sc. in Mathematics from Ain Shams University Cairo (1984), M.Sc. from Al-Azhar University (1990), and completed his doctorate in Bio-fluid Mechanics at Al-Azhar University in(1994). He is leading an active group in his field of interest "Bio-Fluids." He is the editor-in-chief of Al-Azhar Bulletin of Sciences Journal, the Egyptian Mathematical Society journal, and the Editorial Board of Discover Applied Sciences-Springer. He has earned the State Awards of Excellence Prize of Basic Science awarded by the ASRT, Egypt 2018, honour certificates from the Egyptian Mathematical Society (2008, 2012, 2013,2019, 2020,2023), and OBADA-PRIZE for distinguished Researcher 2020 NSP coop., the Order of the Republic-First Class Medal” Science & Arts” from the Egyptian State 2019.

• Chapter 1: Introduction to nanofluids and Hybrid Nanofluids.- Chapter 2: Application of Nano Fluids in Heat Transfer Augmentation within the Heat Exchangers.- Chapter 3: Oxide-Based Nano-Ceramic Materials for Hydrogen Evolution Reactions: Mechanisms, Electrochemical Parameters, Material Types, and Synthesis Methods.- Chapter 4: A comparative numerical analysis of hybrid nanofluids flows in various flow regimes.- Chapter 5: Heat transfer enhancement with nanofluid in solar water/air heater.- Chapter 6: Heat transfer enhancement with nanofluid in battery thermal management system.- Chapter 7: Nano Composite PCMs For Thermal Energy Storage Applications.- Chapter 8: Mathematical Models on Nanofluids Flows.- Chapter 9: A mathematical (Physical models ) approach for nanofluid flow : An analysis.- Chapter 10: Heat transfer by Maxwell Nano-fluid flow over a stretching sheet in the presence of viscous dissipation and electroosmosis effects: A Buongiorno’s Model.- Chapter 11: Flow Analysis of Third Grade NanoFluid Flow using Artificial Neural Network.- Chapter 12: Nanoadsorbents for heavy metal removal.