
Fractional Modeling of Fluid Flow and Transport Phenomena
- 1st Edition - January 31, 2025
- Imprint: Academic Press
- Author: Mohamed F. El-Amin
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 2 6 5 0 8 - 2
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 2 6 5 0 9 - 9
Fractional Modeling of Fluid Flow and Transport Phenomena focuses on mathematical and numerical aspects of fractional-order modeling in fluid flow and transport phenomena. Th… Read more

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Request a sales quoteFractional-order modeling has gained traction in engineering and science, particularly in fluid dynamics and transport phenomena. However, its mathematical and numerical advancements have progressed relatively slowly compared to other aspects. Therefore, this book emphasizes the fractional-order modeling of fluid flow and transport phenomena to bridge this gap. Each chapter in the book delves into a specific topic closely related to the others, ensuring a cohesive and self-contained structure.
- Covers advancements in fractional-order fluid flow problems
- Serves as a comprehensive reference on fractional-order modeling of fluid flow and transport phenomena
- Demonstrates the topic with different aspects, including modeling, mathematical, computational, and physical commentary
- Title of Book
- Cover image
- Title page
- Table of Contents
- Copyright
- Dedication
- Biography
- About the series editors
- Preface
- Acknowledgments
- Chapter 1: Traditional modeling of fluid flow and transport phenomena
- 1.1. Introduction
- 1.2. Basic concepts in fluid mechanics
- 1.2.1. Fluid properties
- 1.2.2. Classification of fluids
- 1.3. Fluid statics
- 1.3.1. Pressure
- 1.3.2. Buoyancy
- 1.4. Equations of fluid motion
- 1.4.1. Continuity equation
- 1.4.2. Momentum equation
- 1.4.3. Energy equation
- 1.4.4. Solute transport equation
- 1.5. Dynamics of inviscid flows
- 1.5.1. Euler's equations
- 1.5.2. Bernoulli's equation
- 1.6. Dimensional analysis and similarity
- 1.7. Boundary-layer theory
- 1.7.1. Boundary-layer concepts
- 1.7.2. Laminar and turbulent boundary layers
- 1.7.3. Boundary-layer separation and control
- 1.7.4. Non-Newtonian fluids
- 1.8. Flow in porous media
- 1.8.1. Darcy's law
- 1.8.2. Dispersion model
- 1.8.3. Multiphase flow in porous media
- 1.8.4. Non-Newtonian fluid flow in porous media
- 1.9. Suggested readings
- 1.10. Problems
- Declaration of generative AI and AI-assisted technologies in the writing process
- Chapter 2: Fundamentals of fractional calculus
- 2.1. Overview of fractional calculus
- 2.2. Fractional operators
- 2.3. Preliminary concepts
- 2.3.1. Gamma function
- 2.3.2. Beta function
- 2.3.3. Mittag-Leffler function
- 2.4. Different models of fractional derivatives
- 2.4.1. Riemann–Liouville fractional integral
- Example
- 2.4.2. Riemann–Liouville fractional derivative
- Notes
- 2.4.3. Caputo fractional derivative
- Examples
- 2.4.4. Grünwald–Letnikov fractional derivative
- Notes
- 2.4.5. Caputo–Fabrizio fractional derivative
- 2.4.6. Atangana–Baleanu fractional derivative
- 2.5. Constant proportional-Caputo fractional operator
- 2.6. Fractional derivatives in fluid mechanics
- 2.7. Laplace transform
- 2.7.1. Definition and basic idea
- 2.7.2. Properties of the Laplace transform
- 2.7.3. Common Laplace transforms
- 2.7.4. Inverse Laplace transform
- 2.7.5. Properties of the inverse Laplace transform
- 2.7.6. Inverse Laplace transform and the Mittag-Leffler function
- 2.8. Laplace transform of Caputo derivatives
- 2.9. Laplace transform of Riemann–Liouville derivative
- Example 1
- Example 2
- 2.10. Laplace transform of CPC fractional operator
- 2.11. Hypergeometric function
- 2.12. Function spaces of fractional operators
- Sobolev spaces and their extensions
- Smoothness and continuity in fractional contexts
- Fractional derivatives in function spaces
- 2.13. Problems
- Declaration of generative AI and AI-assisted technologies in the writing process
- Chapter 3: Fundamentals of fractional modeling of fluid flow
- 3.1. Fractional differential equations
- 3.2. Derivation of fractional mass equation
- 3.3. Derivation of fractional momentum conservation equation
- Particular cases
- 3.4. Fractional energy conservation equation
- 3.4.1. Fractional heat conduction model
- 3.4.2. Fractional heat convection–conduction model
- 3.4.3. Fractional transport equation
- 3.5. Fractional models of flow in porous media
- 3.5.1. Fractional Darcy's law with time memory
- 3.5.2. Fractional Darcy's law with space memory
- 3.5.3. Anomalous diffusion
- 3.6. Questions for review
- Declaration of generative AI and AI-assisted technologies in the writing process
- Chapter 4: Analytical solutions of fractional PDEs
- 4.1. Power-series analytical solution
- 4.1.1. Gas flow in porous media
- 4.1.2. Boundary-layer flow
- 4.2. Adomian decomposition method
- Example
- 4.2.1. Spatial-fractional convection–conduction equation
- 4.2.2. Time-fractional conduction heat equation
- 4.2.3. Time-fractional diffusion–reaction equation
- Particular case
- 4.2.4. Time-fractional advection–diffusion equation
- 4.2.5. Time–space-fractional advection–diffusion equation
- 4.3. Laplace transform solution of the diffusion equation
- 4.4. Problems
- Declaration of generative AI and AI-assisted technologies in the writing process
- Chapter 5: Numerical methods for solving fractional PDEs
- 5.1. Introduction
- 5.2. Fractional forward Euler method
- 5.2.1. Pseudocode for the fractional forward Euler method
- 5.2.2. Example
- 5.3. Generalized fractional forward Euler method
- 5.3.1. Pseudocode for the generalized fractional forward Euler method
- 5.3.2. Example
- 5.4. The s-stage explicit fractional-order Runge–Kutta method
- 5.4.1. Pseudocode for the s-stage EFORK method
- 5.5. The 2-stage fractional Runge–Kutta method
- 5.5.1. Pseudocode for the 2-stage FRK method
- 5.6. The 3-stage EFORK method
- 5.6.1. Pseudocode for the 3-stage EFORK method
- 5.7. 2-stage implicit fractional-order Runge–Kutta method
- 5.7.1. Pseudocode for the 2-stage IFORK method
- 5.7.2. Example
- 5.8. Finite difference methods
- 5.8.1. Explicit finite difference method
- 5.8.2. Implicit finite difference method
- 5.9. Finite element methods
- 5.9.1. Galerkin finite element method
- 5.9.2. Mixed finite element method
- 5.9.3. MFEM for fractional diffusion–reaction equations
- 5.10. Spectral element methods
- 5.10.1. Function interpolation
- Gauss–Legendre interpolants
- Gauss–Lobatto–Legendre interpolants
- 5.10.2. Quadrature
- Gauss–Legendre quadrature
- Gauss–Jacobi quadrature
- 5.10.3. Fractional operators in a spectral framework
- Riemann–Liouville derivative
- Caputo derivative
- 5.10.4. Spectral methods for time-fractional PDEs
- 5.10.5. Spectral methods for space-fractional PDEs
- 5.11. Meshless methods
- 5.11.1. Radial basis function (RBF)
- 5.11.2. Radial point interpolation
- Time-fractional diffusion equation
- 5.12. Problems
- Declaration of generative AI and AI-assisted technologies in the writing process
- Chapter 6: Fractional-order models of fluid flow, heat and mass transfer
- 6.1. Preliminaries
- 6.1.1. Conformable fractional derivative
- 6.2. Fractional-order Navier–Stokes equations
- 6.2.1. Poiseuille flow
- 6.2.2. Time fractional Burgers equation
- 6.3. Semianalytical solution for fractional Navier–Stokes equations
- 6.4. Fractional modeling of heat transfer
- 6.4.1. Fractional modeling of conductive heat transfer
- 6.4.2. Conformable time-fractional convection equation
- 6.4.3. Time-fractional of convection-conduction
- 6.4.4. Time-fractional model of fluid flow and heat transfer
- 6.4.5. Time-fractional of double-diffusive flow
- 6.4.6. Spatial fractional boundary-layer flow and heat transfer
- 6.4.7. Fractional modeling of heat transfer in porous media
- 6.5. Review questions
- 6.6. Problems
- Declaration of generative AI and AI-assisted technologies in the writing process
- Chapter 7: Fractional-order models of non-Newtonian fluids
- 7.1. Introduction
- 7.2. Prabhakar fractional derivative
- 7.3. Fractional non-Newtonian fluids
- 7.3.1. Example
- 7.4. Fractional power-law fluid model
- 7.5. Fractional-order cross and Carreau models
- 7.5.1. Example
- 7.6. Fractional Herschel–Bulkley model
- 7.7. Fractional nonlinear rheology model
- 7.8. Fractional second-grade fluid model
- 7.9. Fractional viscoelastic materials model
- 7.10. Fractional Casson fluid model
- 7.10.1. Example: convective Casson fluid flow
- 7.10.2. Analytical solutions
- 7.10.3. Case study: fractional-order modeling in food engineering
- 7.11. Review questions
- 7.12. Problems
- Declaration of generative AI and AI-assisted technologies in the writing process
- Chapter 8: Fractional-order models of nanofluids and ferrofluids
- 8.1. Introduction
- 8.2. Nanofluids
- 8.2.1. Thermal properties of nanofluids
- 8.2.2. Thermal properties of hybrid nanofluids
- 8.3. Fractional-order models of nanofluids
- 8.3.1. Case study: fractional buoyant nanofluids flow
- 8.4. Nanoparticles transport in porous media
- 8.4.1. Transport equations
- 8.4.2. Fractional transport equations
- 8.5. Nanoparticles transport in two-phase flow
- 8.5.1. Fractional-order model
- 8.6. Ferrofluids
- 8.6.1. Case study
- 8.6.2. Fractional-order governing equations
- Declaration of generative AI and AI-assisted technologies in the writing process
- Chapter 9: Fractional models of turbulent flows
- 9.1. Turbulent flows
- 9.2. Reynolds-averaged Navier–Stokes equations
- 9.2.1. Fractional modeling of eddy viscosity
- 9.2.2. Fractional Kolmogorov energy spectrum
- 9.2.3. Variable-order fractional model
- 9.3. Review questions
- Declaration of generative AI and AI-assisted technologies in the writing process
- Chapter 10: Fractional-order derivatives for multiphase flow in porous media
- 10.1. Introduction
- 10.2. Fractional multiphase continuity equation
- 10.3. Fractional multiphase Darcy's law
- 10.4. Case studies
- 10.4.1. Time fractional derivative of countercurrent imbibition
- 10.4.2. Spatial fractional derivative for imbibition
- 10.5. Fractional transport in fractured media
- 10.5.1. Dual-continuum models
- 10.5.2. Fractional boundary-condition model
- 10.5.3. Fractional discrete-fracture model
- 10.6. Fractional groundwater flow model
- 10.7. Conformable fractional gas equation
- 10.8. Fractional two-phase flow in fractured media
- 10.8.1. Fractional discrete-fracture model for two-phase flows
- 10.8.2. Fractional time derivative for two-phase flow in fractured media
- 10.9. Review questions
- 10.10. Problems
- Declaration of generative AI and AI-assisted technologies in the writing process
- Chapter 11: Fractional models of magneto- and electrohydrodynamics
- 11.1. Fractional models of electrohydrodynamics
- 11.2. Fractional models of electroosmosis
- 11.2.1. Spectral method solution
- 11.2.2. Lucas polynomials and spectral methods
- 11.3. Fractional MHD flows in Maxwell fluids
- 11.4. Problems
- Declaration of generative AI and AI-assisted technologies in the writing process
- Chapter 12: Fractional models in renewable energy systems
- 12.1. Fractional models in wind energy systems
- 12.2. Fractional models of solar energy
- 12.2.1. Fractional-order solar heating model
- 12.3. Fractional biochemical reaction model
- 12.4. Review questions
- 12.5. Problems
- Declaration of generative AI and AI-assisted technologies in the writing process
- Appendix A: Cell-centered finite difference method
- A.1. Discretization using CCFD
- A.1.1. Pressure equation discretization
- A.1.2. Darcy's law discretization
- Index
- Edition: 1
- Published: January 31, 2025
- Imprint: Academic Press
- No. of pages: 316
- Language: English
- Paperback ISBN: 9780443265082
- eBook ISBN: 9780443265099
ME
Mohamed F. El-Amin
Dr. Mohamed F. El-Amin is a Full Professor of Applied Mathematics and Computational Sciences at Effat University, Saudi Arabia. He is also a Visiting Professor at King Abdullah University of Science and Technology, Saudi Arabia, and is a Full Professor at Aswan University, Egypt. As a mathematician, he has over 25 years of research experience in the field of computational sciences, applied mathematics, transport in porous media, heat/mass transfer, fluid dynamics, turbulence, reservoir simulation, and other aspects of complex systems. After obtaining his PhD in 2001, he held research positions in several universities including South Valley University (Egypt), Stuttgart University (Germany), Kyushu University (Japan), and KAUST. Dr. El-Amin is the editor of several journal special issues and the editor of books including Numerical Modeling of Nanoparticle Transport in Porous Media: MATLAB/Python Approach, Elsevier.
Dr. El-Amin's key areas of research are computational mathematics and fluid flow modeling, with applications in several areas - including but not limited to reservoir simulation, transport phenomena, nanofluids flow, multiphase flow, transport in porous media, heat and mass transfer, hydrogen energy, boundary layer flow, magnetohydrodynamics, and non-Newtonian fluids.