Description
Smart Heat Transfer and Thermal Management: Leveraging AI, Machine Learning, and Soft Computing revolutionizes heat transfer engineering by integrating artificial intelligence (AI), machine learning (ML), and soft computing. This groundbreaking book delves into state-of-the-art research and practical applications, providing a holistic approach to optimize thermal management. By deepening the understanding of heat transfer principles while explaining AI, ML, and soft computing methodologies, it offers innovative solutions for heat transfer challenges across various industries. The synergy between these disciplines results in enhanced predictive modeling, system optimization, and thermal control for improved energy efficiency and cost-effectiveness.Soft computing techniques, including fuzzy logic and neural networks, expand traditional heat transfer methods, allowing for adaptive and intelligent thermal systems. Through case studies, simulations, and real-world examples, the book demonstrates how AI and ML-driven algorithms can lead to sustainable and eco-friendly thermal management solutions, making it a valuable resource for engineers, researchers, and students alike.- Offers a comprehensive exploration of the integration of AI, machine learning, and soft computing techniques in heat transfer engineering- Includes real-world examples and case studies that showcase how smart heat transfer approaches have been successfully applied in various industries and systems- Incorporates the latest advancements and cutting-edge research in the field, ensuring that readers stay up-to-date with the most recent developments and emerging trends in smart heat transfer technologies- Focuses on application-oriented insights, offering practical guidance on how to implement AI, machine learning, and soft computing methods in heat transfer engineering, equipping readers with the tools to effectively tackle complex heat transfer challenges
Table of Contents
SECTION 1: FUNDAMENTALS OF HEAT TRANSFER:1. Introduction to Heat Transfer2. Heat Transfer Mechanisms: Conduction, Convection, Radiation, and Extended Surfaces3. Convection Heat Transfer Correlations4. Composite Wall Heat Transfer Analysis5. Advanced Methods in Heat Transfer Analysis: Mathematical Modeling, Numerical Techniques, Finite Element Analysis, and Computational Fluid DynamicsSECTION 2: AI AND MACHINE LEARNING APPLICATIONS IN HEAT TRANSFER: 6. Foundations and Introduction to AI in Heat Transfer7. AI-Enhanced Design and Optimization8. Machine Learning Applications for Heat Transfer SystemsSECTION 3: ADVANCED COMPUTATIONAL APPROACHES IN HEAT TRANSFER: 9. Introduction to Soft Computing Techniques10. Soft Computing Applications in Heat Transfer OptimizationSECTION 4: COMBINED APPROACHES AND HYBRID TECHNIQUES: 11. Hybrid AI-ML Algorithms for Heat Transfer12. Chapter: AI-Optimized and Enhanced Heat Transfer Systems13. Integrating Soft Computing and Machine LearningSECTION 5: HEAT EXCHANGERS: 14. Heat Exchanger Fundamentals, Design, and Optimization15. Shell-and-Tube Heat Exchangers16. Plate Heat Exchangers17. Finned-Tube Heat Exchangers18. Regenerative Heat Exchangers19. Air-Cooled Heat ExchangersSECTION 6: ADVANCED HEAT EXCHANGERS 20. Microchannel Heat Exchangers21. Phase Change Heat ExchangersSECTION 7: CASE STUDIES IN HEAT TRANSFER AND HEAT EXCHANGERS: 22. Case Study: Heat Transfer in Electronics Cooling23. Case Study: Heat Transfer in AutomotiveRadiators24. Case Study: Heat Exchanger Performance in Power Plants25. Case Study: Heat Transfer in Biomedical Devices26. Case Study: Heat Pipes in Spacecraft Thermal Control27. Case Study: Energy-Efficient HVAC Systems28. Case Study: Nanofluid Dynamics and Its Heat Transfer Enhancement Capability29. Case Study: AI and Machine Learning In Thermal Management
