Inbunden, Engelska, 2026

Density-Based Topology Optimization for Thermal–Fluid Systems

Theory, Methods, and Applications for Thermal Management

Av Yuguo Fu, Melvan Tan Kian Hao, Ruochen Hong, Poh Seng Lee

3509 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum: 2026-12-22
Mått: 156 x 234 x undefined mm
Format: Inbunden
Språk: Engelska
Antal sidor: 232
Förlag: Taylor & Francis Ltd
ISBN: 9781041281504

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Mer information

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.

Recensioner i media

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. MarkidesProfessor of Clean Energy TechnologiesHead of the Clean Energy Processes (CEP) LaboratoryEditor-in-Chief, Applied Thermal EngineeringEditor-in-Chief, AI Thermal FluidsDepartment of Chemical EngineeringImperial College London

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