Fluid Flow and Heat Transfer Modeling : Computational Dynamics, Numerical Modelling, Flow Simulation

Mukesh Kumar Awasthi

ISBN 10: 3112230078 / ISBN 13: 9783112230077

Published by De Gruyter, 2026

About this Item

Druck auf Anfrage Neuware - Printed after ordering - Fluid Flow and Heat Transfer Modeling - Computational Dynamics, Numerical Modelling, Flow Simulation presents a comprehensive and contemporary treatment of transport phenomena in complex engineering systems. Integrating fundamental conservation laws with advanced numerical techniques, the book explores fluid dynamics, heat and mass transfer, magnetohydrodynamics, nanofluid behavior, and non-Newtonian flow modeling.Bridging theory and computation, it highlights modern solution strategies including similarity transformations, finite element and finite volume methods, mesh-free RBF-FD techniques, and high-precision Runge-Kutta schemes. The volume further advances into optimization frameworks, artificial intelligence, machine learning, and ANN-based predictive modeling for enhanced thermal performance and real-time flow analysis.Designed for researchers, graduate students, and practicing engineers, this book provides both rigorous mathematical foundations and forward-looking computational tools essential for next-generation fluid flow simulation and intelligent thermal system design.

Seller Inventory # 9783112230077

Bibliographic Details

• Title: Fluid Flow and Heat Transfer Modeling : Computational Dynamics, Numerical Modelling, Flow Simulation
• Publisher: De Gruyter
• Publication Date: 2026
• Language: English
• ISBN 10: 3112230078
• ISBN 13: 9783112230077
• Binding: Buch
• Condition: Neu
• Dimensions: 240W x 170H x 36D millimeters 240 millimeters width by 170 millimeters height by 36 millimeters depth
• Weight: 500 grams

About this title

Synopsis

Fluid Flow and Heat Transfer Modeling – Computational Dynamics, Numerical Modelling, Flow Simulation presents a comprehensive and contemporary treatment of transport phenomena in complex engineering systems. Integrating fundamental conservation laws with advanced numerical techniques, the book explores fluid dynamics, heat and mass transfer, magnetohydrodynamics, nanofluid behavior, and non-Newtonian flow modeling.

Bridging theory and computation, it highlights modern solution strategies including similarity transformations, finite element and finite volume methods, mesh-free RBF-FD techniques, and high-precision Runge–Kutta schemes. The volume further advances into optimization frameworks, artificial intelligence, machine learning, and ANN-based predictive modeling for enhanced thermal performance and real-time flow analysis.

Designed for researchers, graduate students, and practicing engineers, this book provides both rigorous mathematical foundations and forward-looking computational tools essential for next-generation fluid flow simulation and intelligent thermal system design.

About the Author

Mukesh Kumar Awasthi, Alok Kumar Pandey, Himanshu Upreti, India;  J. Paulo Davim, Portugal.