Investigating convective Darcy–Forchheimer flow in Maxwell Nanofluids through a computational study

Keyphrases

• Numerical Methods 100%
• Computational Study 100%
• Maxwell Nanofluid 100%
• Two Dimensional 50%
• Concentration Distribution 50%
• Temperature Distribution 50%
• Heat Transfer Enhancement 50%
• Velocity Profile 50%
• Increased Demand 50%
• Prandtl number 50%
• Temperature Profile 50%
• Minor Effect 50%
• Nanofluid 50%
• Concentration Profile 50%
• Direct Approach 50%
• Inertia Coefficient 50%
• Porosity Parameter 50%
• Local Truncation Error 50%
• MHD Boundary Layer Flow 50%
• Rapid Convergence 50%
• Operational Matrix 50%
• Matrix Technique 50%
• Thermal Device 50%
• Iterative Approach 50%
• System of Boundary Value Problem 50%
• Iterative Method 50%
• Similarity Variable 50%
• Low Computational Cost 50%
• Heat Transfer Efficiency 50%

Engineering

• Numerical Methods 100%
• Convective 100%
• Nanofluid 100%
• Two Dimensional 50%
• Similarities 50%
• Boundary Value 50%
• Velocity Profile 50%
• Prandtl Number 50%
• Increasing Demand 50%
• Boundary Layer 50%
• Computational Cost 50%
• Concentration Distribution 50%
• Magnetohydrodynamic Generator 50%
• Layer Flow 50%
• Direct Approach 50%
• Minor Effect 50%
• Concentration Profile 50%
• Inertia Coefficient 50%
• Temperature Profile 50%
• Truncation Error 50%
• Temperature Distribution 50%
• Porosity 50%

Physics

• Mathematical Method 100%
• Nanofluid 100%
• Boundary Value Problems 50%
• Prandtl Number 50%
• Boundary Layer Flow 50%
• Magnetohydrodynamic Generator 50%
• Porosity 50%