Deep neural network-based heat transfer analysis of non-linear magnetohydrodynamic Jeffery-Hamel flow of a couple stress fluid in stretching/shrinking channels
Atul Kaushik, J. V. Ramana Murthy
Topics & Concepts
MechanicsPrandtl numberHeat transferFluid dynamicsEckert numberReynolds numberConvective heat transferMaterials sciencePhysicsChurchill–Bernstein equationMagnetohydrodynamic driveBoundary value problemViscosityCompressibilityWork (physics)Classical mechanicsWorking fluidFlow (mathematics)ThermodynamicsHartmann numberOpen-channel flowNonlinear systemStress (linguistics)Herschel–Bulkley fluidConvectionThermal conductionMagnetorheological fluidNusselt numberRheologyNanofluidMagnetohydrodynamicsHeat transfer coefficientFluid mechanicsMagnetic Prandtl numberIncompressible flowThermalReynolds stressViscous liquidHeat Transfer MechanismsNanofluid Flow and Heat TransferFluid Dynamics and Turbulent Flows