Advances in Computational Fluid Dynamics delves into the emergent ways that engineers are utilizing computer simulations to enhance efficiency, reduce costs, and innovate across aerospace, automotive, energy, and biomedical engineering fields. It provides the most recent tools and strategies for improving prediction accuracy, design, and optimization.
Highlighting the practical uses of computational fluid dynamics (CFD) in solving real-world engineering issues, the book covers a wide range of physical problems from turbulence modeling and high-performance computing to the integration of machine learning and multiphysics simulation. It includes case studies in aerodynamic designs, energy conversion processes, and cooling systems and examines AI integration and machine learning techniques.
The book will interest researchers, upper-level undergraduate, and graduate engineering students studying practical applications of CFD.
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Academic, Postgraduate, and Undergraduate Advanced
Produkt-Hinweis
Fadenheftung
Gewebe-Einband
Illustrationen
269 s/w Zeichnungen, 31 s/w Tabellen, 8 s/w Photographien bzw. Rasterbilder, 277 s/w Abbildungen
31 Tables, black and white; 269 Line drawings, black and white; 8 Halftones, black and white; 277 Illustrations, black and white
Maße
Höhe: 234 mm
Breite: 156 mm
ISBN-13
978-1-041-00819-4 (9781041008194)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Basma Souayeh is an associate professor at King Faisal University, Saudi Arabia and a researcher in the Laboratory of Fluid Mechanics and Heat Transfer (URPF Lab) at the University of Tunis El Manar, Tunisia. She has more than 12 years of experience in education and research fields with more than 140 peer- reviewed international papers published in ISI journals in physics. She is a co- editor of Mathematical Modelling of Fluid Dynamics and Heat Transfer (CRC Press, 2023). She also serves as a reviewer for several international ISI scientific journals and has been both a speaker and a session chair at several national and international conferences. Dr. Souayeh's research interests include computational physics, mechanical engineering, thermal engineering, energy, computational fluid mechanics, numerical simulation, numerical modeling, CFD simulation, finite volume method, finite difference method, engineering thermodynamics, energy engineering, heat and mass transfer, nanofluids, CFD coding, and fluid flow and mechanics.
Katta Ramesh is an associate professor and deputy dean (internationalization) in the School of Mathematical Sciences at Sunway University, Malaysia. He holds the position of adjunct professor at esteemed institutions including Chandigarh University, India; Lovely Professional University, India; Graphic Era (Deemed to be University), India; and Symbiosis Institute of Technology, India. With over a decade of teaching and research experience, Dr. Ramesh earned his Ph.D. in applied mathematics, specializing in the modeling of physiological flows, from Visvesvaraya National Institute of Technology, Nagpur, India, in 2016. Dr. Ramesh has contributed 100 articles to reputable international journals, edited one book, four book chapters, and two conference proceedings. He is a lifetime member of the Indian Society of Theoretical and Applied Mechanics, Indian Science Congress, Indian Mathematical Society, and Ramanujan Mathematical Society.
Herausgeber*in
King Faisal University, Saudi Arabia
Symbiosis Institute of Technology, India
1. Steady Navier-Stokes Solutions in Rotating Disk Boundary Layers. 2. MHD Maxwell Fluid with Slip over Porous Stretching Sheets. 3. Couple Stress Effects in Magnetic Hybrid Nanofluid Flows. 4. Jeffrey Fluid Flow with Heat and Mass Transfer. 5. Axisymmetric Nanofluid Flow with Non-Uniform Magnetic Field. 6. Nanofluid Flows in Heat Exchangers. 7. Double-Diffusive Effects in Williamson Nanofluid Flow. 8. Thermal Analysis in MHD Ternary Nanofluid Models. 9. Trihybrid Nanofluids with Inclined Magnetic Fields. 10. LES-RANS Hybrid Models in CFD. 11. Laplace Homotopy Method for Fractional KdV Equations. 12. Machine Learning for Lid-Driven Cavity Flow. 13. Statistical Study of MHD Williamson Nanofluid Flow. 14. Maxwell Thin-Film Flow with Viscous Dissipation. 15. Casson Hybrid Nanofluid Flow with Chemical Reactions. 16. MHD Heat and Mass Transfer in Non-Newtonian Fluids. 17. Cooling Solutions Using Microchannel Systems. 18. Solar Energy and Thermal Management Systems. 19. Immiscible Micropolar Flow in Vertical Channels. 20. Micropolar Flow with Radiation and Magnetic Fields. 21. Magneto-Oberbeck Convection with Uniform Heat Flux.