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Heat transfer plays a critical role in various industrial processes, electronic cooling systems, battery thermal management and renewable energy applications. In recent years, significant strides have been made in the field of heat transfer enhancement techniques to improve efficiency and optimize thermal management. This abstract provides a concise overview of the recent advancements in heat transfer enhancement methods, encompassing both experimental and computational approaches. Innovative materials, such as advanced nanomaterials and metamaterials, have emerged as key contributors to enhanced heat transfer. Nanofluids, which consist of nanoparticles dispersed in traditional heat transfer fluids, exhibit improved thermal conductivity, leading to more efficient heat transfer in various applications. Additionally, the design and fabrication of structured surfaces with micro and nano-scale features, known as surface modifications, have proven effective in augmenting convective heat transfer. Additive manufacturing technologies have revolutionized the fabrication of intricate heat exchanger geometries, offering a high degree of customization and geometric complexity. This has led to the creation of compact and efficient heat exchangers with improved thermal performance. The integration of artificial intelligence and machine learning algorithms in heat transfer research has opened new avenues for optimization and control. These technologies enable the development of intelligent thermal management systems capable of adapting to dynamic operating conditions, thereby enhancing overall system efficiency. Integration of novel materials, innovative surface modifications, advanced computational simulations, additive manufacturing, and the incorporation of artificial intelligence plays a crucial role in heat transport enhancement.
This page summarises published work. The authoritative version sits with the publisher.
DOI: 10.1002/9781394270996.ch1
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