Next-Generation Nanofluid Technologies for Advanced Thermal Management
Smart Materials, Modeling, and Applications
- 1st Edition - June 1, 2027
- Latest edition
- Editors: Dhananjay Yadav, Mukesh Kumar Awasthi
- Language: English
Next-Generation Nanofluid Technologies for Advanced Thermal Management: Smart Materials, Modeling, and Applications addresses the critical need for innovative cooling and heat t… Read more
Description
Description
Next-Generation Nanofluid Technologies for Advanced Thermal Management: Smart Materials, Modeling, and Applications addresses the critical need for innovative cooling and heat transfer solutions in high-performance electronic, aerospace, and energy systems. The book explores the latest developments in nanomaterials, hybrid fluids, and sustainable formulations, emphasizing their role in enhancing thermal conductivity, stability, and system reliability. It spans fundamental thermophysical mechanisms and multiscale modeling to advanced computational and AI-driven optimization techniques, offering a unified framework for research and industrial application.
The reference opens with chapters on the evolution of nanofluids, smart nanomaterials, green formulations, and complex heat transfer phenomena such as phase change, radiative, and magnetohydrodynamic transport. It also features methodologies in CFD, machine learning, and digital twins, alongside case studies in electronics cooling, renewable energy, aerospace, and biomedical devices.
This book helps researchers, engineers, and practitioners gain insight into the design, simulation, and deployment of next-generation thermal management systems. It empowers its audience by offering innovative solutions to the challenges of miniaturization, energy efficiency, and sustainability — bridging fundamental science with practical engineering to enable informed decision-making and future-ready technology development across academic, industrial, and policy contexts.
The reference opens with chapters on the evolution of nanofluids, smart nanomaterials, green formulations, and complex heat transfer phenomena such as phase change, radiative, and magnetohydrodynamic transport. It also features methodologies in CFD, machine learning, and digital twins, alongside case studies in electronics cooling, renewable energy, aerospace, and biomedical devices.
This book helps researchers, engineers, and practitioners gain insight into the design, simulation, and deployment of next-generation thermal management systems. It empowers its audience by offering innovative solutions to the challenges of miniaturization, energy efficiency, and sustainability — bridging fundamental science with practical engineering to enable informed decision-making and future-ready technology development across academic, industrial, and policy contexts.
Key features
Key features
- Integrates nanomaterials, thermophysical mechanisms, and thermal management strategies
- Combines advanced modeling, simulation, and AI-driven optimization techniques
- Emphasizes sustainable, eco-friendly nanofluid formulations and real-world applications
- Bridges fundamental research with industrial deployment in electronics, energy, and biomedical fields
- Highlights future trends in intelligent, adaptive thermal management systems
Readership
Readership
Researchers and engineers in thermal sciences and nanotechnology
Table of contents
Table of contents
Part I: Foundations of Next-Generation Nanofluid Technology
1. Evolution of Nanofluids in Modern Thermal Management
2. Thermophysical Design Principles of Functional Nanofluids
3. Smart Nanomaterials and Surface Functionalization
4. Green and Sustainable Nanofluid Formulations
5. Advanced Dispersion Dynamics and Rheological Behavior
Part II: Mechanisms and Intelligent Heat Transport
6. Multiscale Mechanisms of Heat and Mass Transfer
7. Enhanced Conduction and Convection Regimes
8. Next-Generation Phase-Change and Two-Phase Heat Transfer
9. Radiative and Photothermal Transport Mechanisms
10. Magnetohydrodynamics and Electrically Controlled Nanofluids
Part III: Modeling, Simulation, and Optimization Frameworks
11. Mathematical and Multiphase Modeling Approaches
12. Advanced Computational Fluid Dynamics for Nanofluids
13. Machine Learning and AI-Driven Nanofluid Modeling
14. Uncertainty, Reliability, and Robust Design Optimization
15. Multi-Objective and Energy Efficiency Optimization
Part IV: Advanced Applications and Future Directions
16. Nanofluids in Electronics Cooling and Microthermal Systems
17. Renewable Energy and Solar Thermal Technologies
18. Automotive and Aerospace Thermal Management
19. Biomedical and Bio-Microfluidic Heat Transfer Applications
20. Future Prospects in Intelligent Thermal Systems
1. Evolution of Nanofluids in Modern Thermal Management
2. Thermophysical Design Principles of Functional Nanofluids
3. Smart Nanomaterials and Surface Functionalization
4. Green and Sustainable Nanofluid Formulations
5. Advanced Dispersion Dynamics and Rheological Behavior
Part II: Mechanisms and Intelligent Heat Transport
6. Multiscale Mechanisms of Heat and Mass Transfer
7. Enhanced Conduction and Convection Regimes
8. Next-Generation Phase-Change and Two-Phase Heat Transfer
9. Radiative and Photothermal Transport Mechanisms
10. Magnetohydrodynamics and Electrically Controlled Nanofluids
Part III: Modeling, Simulation, and Optimization Frameworks
11. Mathematical and Multiphase Modeling Approaches
12. Advanced Computational Fluid Dynamics for Nanofluids
13. Machine Learning and AI-Driven Nanofluid Modeling
14. Uncertainty, Reliability, and Robust Design Optimization
15. Multi-Objective and Energy Efficiency Optimization
Part IV: Advanced Applications and Future Directions
16. Nanofluids in Electronics Cooling and Microthermal Systems
17. Renewable Energy and Solar Thermal Technologies
18. Automotive and Aerospace Thermal Management
19. Biomedical and Bio-Microfluidic Heat Transfer Applications
20. Future Prospects in Intelligent Thermal Systems
Product details
Product details
- Edition: 1
- Latest edition
- Published: June 1, 2027
- Language: English
About the editors
About the editors
Dhananjay Yadav
Editor
Dhananjay Yadav is Associate Professor of Mathematics at the University of Nizwa, Oman. Before joining the University of Nizwa, he held research positions at Athabasca University, Canada, Yonsei University, South Korea, and Jeju National University, South Korea. His research interests include carbon dioxide capture, storage and enhanced oil recovery, computational sustainability and environmental analytics, fluid mechanics, numerical analysis, hydrodynamic and hydromagnetic stability, nanofluids, and fluid flow in porous media. He has authored and edited numerous scholarly publications, including books, book chapters, and peer-reviewed journal articles, and has contributed to the advancement of research in porous media and related engineering applications. His work spans both theoretical and applied aspects of mathematical modelling and fluid flow phenomena.
Affiliations and expertise
Department of Mathematical and Physical Sciences, College of Arts and Sciences, University of Nizwa, OMMukesh Kumar Awasthi
Editor
Mukesh Kumar Awasthi is Assistant Professor in the Department of Mathematics at Babasaheb Bhimrao Ambedkar University, Lucknow, India. His research focuses on the mathematical modelling of fluid flow problems, with particular interests in viscous potential flow, electrohydrodynamics, magnetohydrodynamics, heat and mass transfer, and fluid instability phenomena. He teaches postgraduate courses in fluid mechanics, discrete mathematics, partial differential equations, abstract algebra, mathematical methods, and measure theory. His work encompasses both analytical and numerical approaches to modelling complex flow systems. He has received research funding for projects in nonlinear fluid dynamics and has been recognized with research awards for his contributions to the field. He is the author and editor of numerous scholarly publications, including books, book chapters, journal articles, and conference papers. His research contributes to the advancement of mathematical methods and modelling techniques in fluid mechanics and related disciplines.
Affiliations and expertise
Assistant Professor, Department of Mathematics, Babasaheb Bhimrao Ambedkar University, Lucknow, India