Smart Heat Transfer and Thermal Management
Leveraging AI, Machine Learning, and Soft Computing
Series: Woodhead Publishing Reviews: Mechanical Engineering Series;
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100 455 Ft (95 671 Ft + 5% VAT)
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Product details:
- Publisher Elsevier Science
- Date of Publication 1 November 2025
- ISBN 9780443338816
- Binding Paperback
- No. of pages750 pages
- Size 229x152 mm
- Language English 700
Categories
Long 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.
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
