Smart Heat Transfer and Thermal Management : Leveraging AI, Machine Learning, and Soft Computing (Woodhead Publishing Reviews: Mechanical Engineering Series)

個数:
  • 予約

Smart Heat Transfer and Thermal Management : Leveraging AI, Machine Learning, and Soft Computing (Woodhead Publishing Reviews: Mechanical Engineering Series)

  • 現在予約受付中です。出版後の入荷・発送となります。
    重要:表示されている発売日は予定となり、発売が延期、中止、生産限定品で商品確保ができないなどの理由により、ご注文をお取消しさせていただく場合がございます。予めご了承ください。

    ●3Dセキュア導入とクレジットカードによるお支払いについて
  • 【入荷遅延について】
    世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
    おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。
  • ◆画像の表紙や帯等は実物とは異なる場合があります。
  • ◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
    また、洋書販売価格は、ご注文確定時点での日本円価格となります。
    ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。
  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 750 p.
  • 言語 ENG
  • 商品コード 9780443338816

Full 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.

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

最近チェックした商品