Modeling Approaches and Computational Methods for Particle-laden Turbulent Flows
Häftad, Engelska, 2022
Av Shankar Subramaniam, S. Balachandar, USA) Subramaniam, Shankar (Professor, Department of Mechanical Engineering, Iowa State University, Ames, Iowa, United States of America; Founding Director, Center for Multiphase Flow Research and Education, Ames, Iowa, USA) Balachandar, S. (William F. Powers Professor and Distinguished Professor, Department of Mechanical and Aerospace Engineering, University of Florida, Gainesville, Florida
2 499 kr
Modelling Approaches and Computational Methods for Particle-laden Turbulent Flows introduces the principal phenomena observed in applications where turbulence in particle-laden flow is encountered while also analyzing the main methods for analyzing numerically. The book takes a practical approach, providing advice on how to select and apply the correct model or tool by drawing on the latest research.� Sections provide scales of particle-laden turbulence and the principal analytical frameworks and computational approaches used to simulate particles in turbulent flow. Each chapter opens with a section on fundamental concepts and theory before describing the applications of the modelling approach or numerical method.
Featuring explanations of key concepts, definitions, and fundamental physics and equations, as well as recent research advances and detailed simulation methods, this book is the ideal starting point for students new to this subject, as well as an essential reference for experienced researchers.
- Provides a comprehensive introduction to the phenomena of particle laden turbulent flow
- Explains a wide range of numerical methods, including Eulerian-Eulerian, Eulerian-Lagrange, and volume-filtered computation
- Describes a wide range of innovative applications of these models
Produktinformation
- Utgivningsdatum2022-10-25
- Mått152 x 229 x undefined mm
- Vikt910 g
- SpråkEngelska
- SerieComputation and Analysis of Turbulent Flows
- Antal sidor586
- FörlagElsevier Science
- EAN9780323901338