Density-Based Topology Optimization for Thermal-Fluid Systems

Theory, Methods, and Applications for Thermal Management
1. Auflage 2026
ISBN: 978-1-041-28150-4
Verlag: Taylor & Francis Ltd

Buch, Englisch, 232 Seiten, Format (B × H): 156 mm x 234 mm

This comprehensive guide for researchers and advanced graduate students presents density-based topology optimization methods for thermal–fluid systems, covering fundamental theory, numerical implementation, methodological improvements, practical applications and additive manufacturing.

The book systematically develops the mathematical foundations of topology optimization, including filtering, projection, interpolation, governing equations, adjoint sensitivity analysis, and optimization algorithms. These concepts are illustrated through a wide range of case studies spanning thermal conduction, fluid flow, and coupled thermal–fluid problems under forced and natural convection in both 2D and 3D configurations. Beyond classical formulations, the book places strong emphasis on method development and engineering applicability. Advanced strategies such as pseudo-3D modelling and reduced-order initialization methods are introduced to address the high computational cost of large-scale optimization. The performance and reliability of topology-optimized designs are further validated through numerical simulations and experimental studies of heat sinks, cold plates, and hybrid cooling systems, including system-level demonstrations. A dedicated section on additive manufacturing discusses fabrication processes, design constraints, and testing methods, highlighting the critical link between topology optimization and physical realization. This book equips readers with the tools to design high-performance thermal systems, develop efficient optimization workflows, and translate optimized concepts into manufacturable solutions.

Graduate students, researchers, and engineers in mechanical engineering, heat transfer, fluid mechanics, computational optimization, and thermal management will benefit from this content and approach, as will practitioners working in electronics cooling, data centers, and advanced manufacturing.

Zielgruppe

Academic and Postgraduate

Autoren/Hrsg.

Fu, Yuguo

Hao, Melvan Tan Kian

Hong, Ruochen

Lee, Poh Seng

Fachgebiete

• Naturwissenschaften Physik Mechanik Kontinuumsmechanik, Strömungslehre
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau
• Naturwissenschaften Physik Thermodynamik
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde Strömungslehre
• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Verfahrenstechnik, Chemieingenieurwesen

Inhaltsverzeichnis

1. Introduction 2. Mathematical Formulation and Numerical Implementation of Density-Based Topology Optimization 3. Case Studies of Topology Optimization 4. Improvements of Topology Optimization Method 5. Validation of the Topology-Optimized Design 6. Additive Manufacturing (AM) of Topology-optimized Structures 7. Validation of the Topology-Optimized Design. Appendix A: Fast Implementation of Topology Optimization in COMSOL

Über Autor(innen)

Yuguo Fu is a PhD candidate in Mechanical Engineering at the National University of Singapore, with research focusing on topology optimization and thermal management.

Melvan Tan Kian Hao is a PhD candidate in Mechanical Engineering at the National University of Singapore, with research focusing on designing and optimizing heat sinks for immersion cooled servers.

Ruochen Hong is a research fellow in Mechanical Engineering at the National University of Singapore, with research focusing on additive manufacturing and thermal management.

Poh Seng Lee is Professor and Head of Mechanical Engineering at the National University of Singapore and Executive Director of the Energy Studies Institute. An ASME Fellow, he is internationally recognized for his contributions to thermal management, data centre cooling, and sustainable thermal–fluid system design.