Smart Heat Transfer and Thermal Management
Leveraging AI, Machine Learning, and Soft Computing
- 1st Edition - November 1, 2025
- Imprint: Woodhead Publishing
- Editors: Raj Kumar Arya, George D. Verros, J. Paulo Davim
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 3 8 8 1 - 6
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 3 8 8 2 - 3
Smart Heat Transfer and Thermal Management: Leveraging AI, Machine Learning, and Soft Computing revolutionizes heat transfer engineering by integrating artificial intell… Read more
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Request a sales quoteSmart 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 book explores cutting-edge research and practical applications, providing a holistic approach to optimize thermal management. The content deepens understanding of heat transfer principles while explaining AI, ML, and soft computing methodologies. The synergy of these disciplines results in innovative solutions for heat transfer challenges across industries. Case studies, simulations, and real-world examples showcase how AI and ML-driven algorithms enhance 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, enabling adaptive and intelligent thermal systems. Focusing on sustainability, the book inspires engineers, researchers, and students to embrace 'Smart Heat Transfer' for a more efficient and eco-friendly future.
- Offers a comprehensive exploration of the integration of AI, machine learning, and soft computing techniques in heat transfer engineering, providing readers with a deep understanding of the theoretical concepts and practical applications
- Real-world examples and case studies are presented, showcasing how smart heat transfer approaches have been successfully applied in various industries and systems, enabling readers to grasp the practical implications and potential benefits
- 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.
- A focus on application-oriented insights, the book offers practical guidance on how to implement AI, machine learning, and soft computing methods in heat transfer engineering, equipping readers with the tools to tackle complex heat transfer challenges effectively
- Highlights how smart heat transfer techniques contribute to energy efficiency, reduced environmental impact, and greener engineering solutions, making it particularly valuable for researchers and practitioners concerned with sustainable development
Professionals working in industries dealing with heat transfer systems, thermal management, energy optimization, HVAC, renewable energy, and sustainable technologies
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
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
- Edition: 1
- Published: November 1, 2025
- Imprint: Woodhead Publishing
- No. of pages: 750
- Language: English
- Paperback ISBN: 9780443338816
- eBook ISBN: 9780443338823
RA
Raj Kumar Arya
Raj Kumar Arya is currently serving as an Associate Professor in the Department of Chemical Engineering at Dr. B R Ambedkar National Institute of Technology, Jalandhar, Punjab, India. Prior to this role, he held positions at Thapar Institute of Engineering & Technology, Patiala, Punjab, India; Jaypee University of Engineering & Technology, Guna, India; and BITS-Pilani, Goa Campus, India. His educational background includes a Ph.D. from IIT Bombay, India, M. Tech. from IIT Delhi, India, and B. Tech. from HBTI Kanpur, India. With over 14 years of research and teaching experience, he specializes in diffusion and drying of thin film polymeric coatings, process engineering, and process modeling & simulation. Notably, he has published ~70 journal papers, secured 2 international patents, presented 22 conference papers, contributed to 29 books chapters, authored 5 books, edited 3 books, and organized the International Chemical Engineering Conference (ICHEEC 2021).
Affiliations and expertise
Associate Professor, Department of Chemical Engineering, Dr. B R Ambedkar National Institute of Technology, Jalandhar, Punjab, IndiaGV
George D. Verros
Dr. George D. Verros graduated in 1989 from the Chemical Engineering Department at Aristotle University of Thessaloniki (AUTH), following a family tradition in Chemistry and Engineering. He earned his 1995 Doctorate in polymer reaction engineering from the same department, receiving fellowships and working on research programs sponsored by EXXON and Novo Nordisk S.A. His focus includes polymer science, particularly polymer reaction engineering, membrane and coating formation, and applying non-equilibrium thermodynamics. With around forty publications in journals like Polymer and J. Membrane Sci., and over sixty in conference proceedings, he is an active member of scientific organizations and serves on the Editorial Board of Crystals (MDPI). Since 1999, he has been actively involved in environmental applications for the Greek Government, overseeing projects in water purification, sewage plants, landfills, recycling, air pollution monitoring, and thermal waste treatment. He is also a Fellow in the Department of Chemistry at Aristotle University, Greece.
Affiliations and expertise
Department of Chemistry, Aristotle University, GreeceJD
J. Paulo Davim
Prof. (Dr.) J. Paulo Davim is a Full Professor at the University of Aveiro, Portugal, with over 35 years of experience in Mechanical, Materials, and Industrial Engineering. He holds multiple distinguished academic titles, including a PhD in Mechanical Engineering and a DSc from London Metropolitan University. He has published over 300 books and 600 articles, with more than 36,500 citations. He is ranked among the world's top 2% scientists by Stanford University and holds leadership positions in numerous international journals, conferences, and research projects.
Affiliations and expertise
Full Professor, Department of Mechanical Engineering, University of Aveiro, Aveiro, Portugal