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Smart Heat Transfer and Thermal Management

Smart Heat Transfer and Thermal Management

          
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About the Book

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.

Table of Contents:
SECTION 1: FUNDAMENTALS OF HEAT TRANSFER: 1. Introduction to Heat Transfer 2. Heat Transfer Mechanisms: Conduction, Convection, Radiation, and Extended Surfaces 3. Convection Heat Transfer Correlations 4. Composite Wall Heat Transfer Analysis 5. Advanced Methods in Heat Transfer Analysis: Mathematical Modeling, Numerical Techniques, Finite Element Analysis, and Computational Fluid Dynamics SECTION 2: AI AND MACHINE LEARNING APPLICATIONS IN HEAT TRANSFER: 6. Foundations and Introduction to AI in Heat Transfer 7. AI-Enhanced Design and Optimization 8. Machine Learning Applications for Heat Transfer Systems SECTION 3: ADVANCED COMPUTATIONAL APPROACHES IN HEAT TRANSFER: 9. Introduction to Soft Computing Techniques 10. Soft Computing Applications in Heat Transfer Optimization SECTION 4: COMBINED APPROACHES AND HYBRID TECHNIQUES: 11. Hybrid AI-ML Algorithms for Heat Transfer 12. Chapter: AI-Optimized and Enhanced Heat Transfer Systems 13. Integrating Soft Computing and Machine Learning SECTION 5: HEAT EXCHANGERS: 14. Heat Exchanger Fundamentals, Design, and Optimization 15. Shell-and-Tube Heat Exchangers 16. Plate Heat Exchangers 17. Finned-Tube Heat Exchangers 18. Regenerative Heat Exchangers 19. Air-Cooled Heat Exchangers SECTION 6: ADVANCED HEAT EXCHANGERS 20. Microchannel Heat Exchangers 21. Phase Change Heat Exchangers SECTION 7: CASE STUDIES IN HEAT TRANSFER AND HEAT EXCHANGERS: 22. Case Study: Heat Transfer in Electronics Cooling 23. Case Study: Heat Transfer in AutomotiveRadiators 24. Case Study: Heat Exchanger Performance in Power Plants 25. Case Study: Heat Transfer in Biomedical Devices 26. Case Study: Heat Pipes in Spacecraft Thermal Control 27. Case Study: Energy-Efficient HVAC Systems 28. Case Study: Nanofluid Dynamics and Its Heat Transfer Enhancement Capability 29. Case Study: AI and Machine Learning In Thermal Management


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Product Details
  • ISBN-13: 9780443338816
  • ISBN-10: 0443338817


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