Revolutionizing Heat Transfer

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

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.

Original languageEnglish
Title of host publicationRevolutionizing Heat Transfer
Subtitle of host publicationNanofluids, Turbulators, and Machine Learning for Sustainable Energy Efficiency
PublisherElsevier
Pages1-301
Number of pages301
ISBN (Electronic)9780443315305
ISBN (Print)9780443315312
DOIs
Publication statusPublished - Jan 1 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

ASJC Scopus subject areas

  • General Engineering

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