Reshu Gupta – författare

In the rapidly advancing modern world, scientific and technological understanding and innovation are reaching new heights. Computational fluid dynamics and heat transfer have emerged as powerful tools, playing a pivotal role in the analysis and design of complex engineering problems and processes. With the ability to mathematically model various engineering phenomena, these computational tools offer a deeper understanding of intricate dynamics before the physical prototype is created. Widely employed as simulation tools, computational fluid dynamics and heat transfer codes enable the virtual or digital prototype development of products and devices involving complex transport and multiphasic phenomena. They have become an indispensable element of the agile product development environment across diverse sectors of manufacturing, facilitating accelerated product development cycles.

Key features of this book:

Modeling and Simulation of Fluid Flow and Heat Transfer delves into the fascinating world of fluid dynamics and heat transfer modeling, presenting an extensive exploration of these subjects. This book is a valuable resource for researchers, engineers, and students seeking to comprehend and apply numerical methods and computational tools in fluid dynamics and heat transfer problems.

In the rapidly advancing modern world, scientific and technological understanding and innovation are reaching new heights. Computational fluid dynamics and heat transfer have emerged as powerful tools, playing a pivotal role in the analysis and design of complex engineering problems and processes. With the ability to mathematically model various engineering phenomena, these computational tools offer a deeper understanding of intricate dynamics before the physical prototype is created. Widely employed as simulation tools, computational fluid dynamics and heat transfer codes enable the virtual or digital prototype development of products and devices involving complex transport and multiphasic phenomena. They have become an indispensable element of the agile product development environment across diverse sectors of manufacturing, facilitating accelerated product development cycles.

Key features of this book:

Modeling and Simulation of Fluid Flow and Heat Transfer delves into the fascinating world of fluid dynamics and heat transfer modeling, presenting an extensive exploration of these subjects. This book is a valuable resource for researchers, engineers, and students seeking to comprehend and apply numerical methods and computational tools in fluid dynamics and heat transfer problems.

The text offers a detailed presentation of mathematical, numerical, and experimental techniques for nanofluids. It further covers the synthesis, characterization, stability, and heat transport. The book comprehensively discusses topics such as the comparison of heat transfer models, flow features of ternary hybrid nanofluids, thermodynamics and mass diffusion, and natural convection in triangular cavities.

This book:

It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of mechanical engineering, aerospace engineering, automotive engineering, industrial and production engineering, energy engineering, fluid dynamics, and tribology.

The text offers a detailed presentation of mathematical, numerical, and experimental techniques for nanofluids. It further covers the synthesis, characterization, stability, and heat transport. The book comprehensively discusses topics such as the comparison of heat transfer models, flow features of ternary hybrid nanofluids, thermodynamics and mass diffusion, and natural convection in triangular cavities.

This book:

It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of mechanical engineering, aerospace engineering, automotive engineering, industrial and production engineering, energy engineering, fluid dynamics, and tribology.

Future-proof your thermal system designs with this essential guide, providing a comprehensive, cutting-edge exploration of

nanofluids to drive innovation and efficiency in heat transfer.

The development and application of nanofluids aligns with the broader trend towards miniaturization and higher efficiency in thermal systems. As industries continue to push the boundaries of performance and efficiency, the integration of nanofluids into thermal management solutions represents a forward-thinking approach that addresses these demands. In the context of disciplinary development, the study of nanofluids is situated at the intersection of nanotechnology, materials science, and thermal engineering. The unique properties of nanofluids have prompted extensive research aimed at understanding their behavior and optimizing their use in practical applications. This book contributes to this growing body of knowledge by providing comprehensive insights into the preparation, stability, and thermophysical properties of nanofluids. It also explores advanced computational models and experimental techniques essential for predicting and analyzing the heat transfer performance of nanofluids. This book, by providing a detailed exploration of the theoretical and practical aspects of nanofluids, serves as a valuable resource for researchers, engineers, and industry professionals aiming to harness the potential of this cutting-edge technology to drive innovation and efficiency in thermal systems.

Drive innovation in thermal sciences with this essential book that leverages artificial intelligence and machine learning to transcend traditional computational methods and solve complex, real-time problems in heat transfer and fluid dynamics.

Traditionally, heat transfer and fluid dynamics have relied on classical computational methods like computational fluid dynamics, which employ numerical techniques to solve governing equations for fluid flow and thermal transport. However, these methods are often computationally intensive and limited in handling complex, real-time scenarios, especially in turbulence modeling, multiphase flows, and optimization tasks. This book explores the transformative impact of artificial intelligence in the fields of heat transfer and fluid dynamics. It covers a range of topics, including AI-based optimization techniques for thermal systems, machine learning applications in fluid dynamics, and the use of neural networks for modeling thermal systems. The book delves into advanced areas such as microfluidics, predictive maintenance, and real-time flow control, highlighting how AI enhances traditional computational fluid dynamics methods. It also presents case studies that illustrate successful implementations of AI in industrial processes, offering practical insights into its applications. By fostering an understanding of both theoretical and practical aspects, equips engineers and researchers with the tools necessary to leverage AI effectively in their work, ultimately driving innovation in thermal sciences.