Overview
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.
Full Product Details
Author: Zafar Said (Distinguished Associate Professor, Mechanical and Aerospace Engineering Department, College of Engineering, United Arab Emirates University, Al Ain, United Arab Emirates)
Publisher: Elsevier - Health Sciences Division
Imprint: Elsevier - Health Sciences Division
Weight: 0.450kg
ISBN: 9780443315305
ISBN 10: 0443315302
Pages: 320
Publication Date: 03 June 2025
Audience:
Professional and scholarly
,
College/higher education
,
Professional & Vocational
,
Postgraduate, Research & Scholarly
Format: Paperback
Publisher's Status: Active
Availability: Manufactured on demand
We will order this item for you from a manufactured on demand supplier.
Author Information
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.
