Heat Transfer and Fluid Flow in Minichannels and Microchannels

Inbunden, Engelska, 2026

AvSatish Kandlikar,Srinivas Garimella,Stephane Colin,Matthew T. Hughes,Isaac Perez-Raya

3 139 kr

Kommande

Finns i fler format (2)

Inbunden

3 409 kr

Skickas inom 5-8 vardagar

Häftad

1 369 kr

Skickas inom 10-15 vardagar

Heat Transfer and Fluid Flow in Minichannels and Microchannels, Third Edition presents a groundbreaking exploration of heat transfer and fluid flow in microscale passages, offering valuable insights for designers and researchers in the field. This comprehensive text delves into the fundamental mechanisms of single-phase and two-phase flows, providing a detailed analysis of novel enhancement techniques and numerical modeling approaches essential for efficient heat removal and thermal management. It further explores gas flows, liquid flow dynamics, flow boiling phenomena in minichannels and microchannels, numerical modeling of flow boiling, and an overview of changes in this new edition.

Each chapter offers a deep dive into the mechanisms and design considerations crucial for understanding heat and fluid flow at the microscale level. It will serve as a sourcebook for engineers, researchers, and graduate students in mechanical engineering and thermal sciences studying microchannel flow passages.

Provides a fully revised, updated, and expanded new edition
Analyzes the fundamental mechanisms and design approaches for single-phase and two-phase heat transfer in minichannels and microchannels
Explores recent developments in the field, including novel enhancement techniques for boiling and condensing flows, backed by real-world case studies in each chapter
Evaluates state-of-the-art information on gas and liquid flows at the microscale level, informing practical applications and expanding research
Discusses numerical modeling of single and two-phase flows in microchannels, guiding design processes of microchannel flow passages

Produktinformation

Utgivningsdatum2026-11-01
Mått191 x 235 x undefined mm
FormatInbunden
SpråkEngelska
Antal sidor600
Upplaga3
FörlagElsevier Science
ISBN9780443447792

Tillhör följande kategorier

Energiteknik inom Naturvetenskap och teknik

Satish Kandlikar has been a professor in the mechanical engineering department at Rochester Institute of Technology for the last twenty-one years. He is the founder and Chairman of the Rochester Heat Transfer Chapter of ASME and serves as Heat and History Editor of the internal journal of Heat Transfer Engineering. Srinivas Garimella is a Professor in the Woodruff School of Mechanical Engineering at the Georgia Institute of Technology. He is director of the Sustainable Thermal Systems Laboratory, which he founded upon his arrival at Georgia Tech in 2003. Dr. Garimella's research has resulted in over 100 archival journal and refereed conference publications, in addition to five patents on heat pump systems and components. Stéphane Colin is a Professor of mechanical engineering at the National Institute of Applied Sciences (INSA), in the University of Toulouse, France. In 2008, he received the Hydrotechnic Great Award from the Hydrotechnic Society of France. Matthew T. Hughes is a Research Scientist in the Nuclear Science and Engineering (NSE) Department at Massachusetts Institute of Technology and also serves on the editorial board of Applied Thermal Engineering. He has published over 20 archival journal articles in the areas of phase change heat transfer and sustainable thermal energy system development.Dr. Isaac Perez-Raya is an Assistant Professor at the Rochester Institute of Technology, where he focuses on the numerical modeling of boiling and biological flows. His research has led to significant advancements in computational modeling through customized numerical software and physics-based machine learning, influencing both fundamental understanding and practical applications. Dr. Perez-Raya has published extensively in archival journals and conference proceedings, contributing to the fields of heat transfer and fluid flow. Additionally, he has enabled the integration of physics-based machine learning in inverse and fast computing for biomedical applications and multiphase flows.