Elsevier Nanofluid Applications in Thermal Engineering: Advanced Numerical Investigations (Emerging Technologies and Materials in Thermal Engineering)

Nanofluid Applications in Thermal Engineering: Advanced Numerical Investigations delves into the forefront of scientific research, exploring advanced numerical techniques for modeling nanofluids in thermal engineering. Featuring cutting-edge computational simulations, it offers invaluable insights into optimizing heat transfer processes using hybrid and ternary nanofluids. From thermophysical and rheological analyses to exploring the thermal performance of magnetic power-law hybrid nanofluids, the book provides a comprehensive overview of the latest developments. By addressing daily challenges faced in research, such as selecting appropriate numerical methods and bridging the gap between mathematical models and real-world problems, this book serves as a guide for navigating complex nanofluid applications. Topics explore advanced numerical modeling of hybrid and ternary nanofluids, the effects of internal heat generation and chemical reactions in porous media, and the magneto thermal aspects of ternary composite nanomaterials. With a focus on real-life applications, such as Darcy-Forchheimer flow with Marangoni convection and thermal control for Casson hybrid nanofluid flow, this book equips readers with the knowledge needed to navigate complex nanofluid models in thermal engineering systems effectively. For thermal engineers and nanofluids researchers seeking to enhance their understanding and practical applications, this book is a vital resource. Explores advanced numerical techniques for modeling nanofluids in thermal engineering Delivers insights into cutting-edge computational simulations for optimizing heat transfer processes Explains the behavior of hybrid and ternary nanofluids through detailed analysis Showcases innovative applications of nanofluids in diverse thermal engineering systems Bridges interdisciplinary knowledge that is essential for research and practical applications in mathematical modeling