Revolutionizing Heat Transfer

Texte du rabat

Revolutionizing Heat Transfer: Nanofluids, Turbulators, and Machine Learning for Sustainable Energy Efficiency bridges the knowledge gap between traditional heat transfer enhancement techniques and the innovative approaches employing nanofluids and turbulators. There is a growing need for this resource, as it addresses both the limitations of current heat transfer techniques and provides sustainable solutions for a wide range of engineering applications. The book will offer an all-inclusive resource on the latest advancements in nanofluids, turbulators, and machine learning techniques for heat transfer enhancement in addition to detailed guidance on the synthesis, characterization, design, and optimization of these technologies, paving the way for successful implementation across various engineering applications. Using an interdisciplinary approach, this book serves as a valuable reference for researchers and practitioners working on heat transfer in energy applications and students studying related areas.

Contenu

1. Introduction to Sustainable Heat Transfer Enhancement Techniques
   
   2. Nanofluids: Synthesis, Properties, and Characterization
   3. Turbulators: Types, Design, and Performance
   4. Nanofluids for Heat Transfer Enhancement
   5. Turbulators for Heat Transfer Enhancement
   6. Synergistic Effects of Nanofluids, Turbulators, and AI
   7. Nanofluids and Turbulators in Renewable Energy Systems
   8. Machine Learning and AI in Heat Transfer Enhancement
   9. Modeling, Simulation, and AI: A Convergence in Heat Transfer Systems
   10. Fundamentals of Turbulent Flow Enhancement Techniques
   11. Environmental and Economic Impacts of Nanofluids and Turbulators
   12. Future Perspectives: Emerging Technologies and Innovations