Density-Based Topology Optimization for Thermal–Fluid Systems Theory, Methods, and Applications for Thermal Management

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

Biography

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.

Topology optimisation has emerged as a powerful approach that is transforming the way thermal-fluid systems are conceived, designed and realised. This book is a significant contribution to this rapidly evolving field. Drawing upon their extensive expertise and research experience, the authors present a comprehensive and timely treatment of density-based topology optimisation, covering the theoretical foundations of this methodology, along with aspects related to its practical implementation, validation and manufacturing considerations. It is an invaluable resource for researchers, students, and practicing engineers interested in these topics, successfully bridging the gap between advanced computational methods, and real-world thermal management applications.

Christos N. Markides
Professor of Clean Energy Technologies
Head of the Clean Energy Processes (CEP) Laboratory
Editor-in-Chief, Applied Thermal Engineering
Editor-in-Chief, AI Thermal Fluids
Department of Chemical Engineering
Imperial College London