Revolutionizing Heat Transfer
Nanofluids, Turbulators, and Machine Learning for Sustainable Energy Efficiency
Published on 3. June 2025
Book
Paperback/Softback
320 pages
978-0-443-31530-5 (ISBN)
Description
Revolutionizing Heat Transfer: Nanofluids, Turbulators, and Machine Learning for Sustainable Energy Efficiency bridges the knowledge gap between traditional heat transfer enhancement techniques and innovative approaches employing nanofluids and turbulators. Users will find this to be an all-inclusive resource on the latest advancements in nanofluids, turbulators, and machine learning techniques for heat transfer enhancement that also includes detailed guidance on the synthesis, characterization, design, and optimization of these technologies. Using an interdisciplinary approach, this book serves as a valuable reference for researchers and practitioners working on heat transfer in energy applications and students studying related areas.
There is a growing need for this resource as it addresses both the limitations of current heat transfer techniques while also providing sustainable solutions for a wide range of engineering applications.
There is a growing need for this resource as it addresses both the limitations of current heat transfer techniques while also providing sustainable solutions for a wide range of engineering applications.
More details
Series
Language
English
Place of publication
Philadelphia
United States
Target group
Professional and scholarly
College/higher education
Product notice
Paperback (trade)
Dimensions
Height: 229 mm
Width: 152 mm
Thickness: 17 mm
Weight
434 gr
ISBN-13
978-0-443-31530-5 (9780443315305)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Zafar Said
Revolutionizing Heat Transfer
Nanofluids, Turbulators, and Machine Learning for Sustainable Energy Efficiency
E-Book
05/2025
Elsevier
€186.99
Available for download
Person
Dr. Zafar Said is currently working as a Distinguished Associate Professor in the
Department of Mechanical and Aerospace Engineering at the United Arab Emirates
University, UAE. He received his doctoral degree in Mechanical Engineering from
the University of Malaya, Malaysia, and completed his postdoctoral research at
Khalifa University, UAE. Dr. Said is a recognized leader in energy technology,
nanofluids, and sustainable energy. His major areas of interest include heat
transfer, solar energy systems, and advanced thermofluids. His research focuses on
battery thermal management, enhancement of solar collectors using nanofluids
and turbulators, and the development of stable nanorefrigerants and
nanolubricants. He also applies artificial intelligence and machine learning to
predict thermophysical properties and optimize energy systems. He is the recipient
of several prestigious awards, including the Khalifa Award for Education as
Distinguished University Professor (2025), the Future Pioneer Award in
Sustainability (2025), and Best Academic Research at the 13th Dubai Award for
Sustainable Transport (2024). He has also received the Research and Innovation
Award from the UAE Ministry of Energy and Infrastructure (2022) and First Place in
Scientific Research at the Excellence and Creative Engineering Award (2023) by the
Society of Engineers, UAE. In recognition of his contributions, he has been
consistently ranked among the world's top 2% of scientists in the field of energy by
Elsevier BV and Stanford University. In addition to his academic duties, he actively
serves in editorial roles for several international journals and is a frequent keynote
speaker at global conferences.
Department of Mechanical and Aerospace Engineering at the United Arab Emirates
University, UAE. He received his doctoral degree in Mechanical Engineering from
the University of Malaya, Malaysia, and completed his postdoctoral research at
Khalifa University, UAE. Dr. Said is a recognized leader in energy technology,
nanofluids, and sustainable energy. His major areas of interest include heat
transfer, solar energy systems, and advanced thermofluids. His research focuses on
battery thermal management, enhancement of solar collectors using nanofluids
and turbulators, and the development of stable nanorefrigerants and
nanolubricants. He also applies artificial intelligence and machine learning to
predict thermophysical properties and optimize energy systems. He is the recipient
of several prestigious awards, including the Khalifa Award for Education as
Distinguished University Professor (2025), the Future Pioneer Award in
Sustainability (2025), and Best Academic Research at the 13th Dubai Award for
Sustainable Transport (2024). He has also received the Research and Innovation
Award from the UAE Ministry of Energy and Infrastructure (2022) and First Place in
Scientific Research at the Excellence and Creative Engineering Award (2023) by the
Society of Engineers, UAE. In recognition of his contributions, he has been
consistently ranked among the world's top 2% of scientists in the field of energy by
Elsevier BV and Stanford University. In addition to his academic duties, he actively
serves in editorial roles for several international journals and is a frequent keynote
speaker at global conferences.
Content
1. Introduction to Sustainable Heat Transfer Enhancement Techniques
2. Nanofluids: Synthesis, Properties, and Characterization
3. Turbulators: Types, Design, and Performance
4. Nanofluids for Heat Transfer Enhancement
5. Turbulators for Heat Transfer Enhancement
6. Synergistic Effects of Nanofluids, Turbulators, and AI
7. Nanofluids and Turbulators in Renewable Energy Systems
8. Machine Learning and AI in Heat Transfer Enhancement
9. Modeling, Simulation, and AI: A Convergence in Heat Transfer Systems
10. Fundamentals of Turbulent Flow Enhancement Techniques
11. Environmental and Economic Impacts of Nanofluids and Turbulators
12. Future Perspectives: Emerging Technologies and Innovations
2. Nanofluids: Synthesis, Properties, and Characterization
3. Turbulators: Types, Design, and Performance
4. Nanofluids for Heat Transfer Enhancement
5. Turbulators for Heat Transfer Enhancement
6. Synergistic Effects of Nanofluids, Turbulators, and AI
7. Nanofluids and Turbulators in Renewable Energy Systems
8. Machine Learning and AI in Heat Transfer Enhancement
9. Modeling, Simulation, and AI: A Convergence in Heat Transfer Systems
10. Fundamentals of Turbulent Flow Enhancement Techniques
11. Environmental and Economic Impacts of Nanofluids and Turbulators
12. Future Perspectives: Emerging Technologies and Innovations