Related Experiment Video
Updated: Mar 9, 2026

10:03
Uncoupling Coriolis Force and Rotating Buoyancy Effects on Full-Field Heat Transfer Properties of a Rotating Channel
Published on: October 5, 2018
8.7K
Thermomechanical Fractional Model of TEMHD Rotational Flow.
F Hamza1, A Abd El-Latief1, W Khatan2
1Department of Mathematics, Faculty of Science, University of Alexandria, Alexandria, Egypt.
Plos One
|January 4, 2017
Summary
This study models unsteady rotational flow of Xanthan gum (XG) between cylinders under a magnetic field. Fractional parameters significantly influence temperature, velocity, stress, and electric current distributions.
Area of Science:
- Fluid dynamics
- Rheology
- Magnetohydrodynamics
Background:
- Xanthan gum (XG) exhibits complex rheological behavior.
- Fractional calculus offers advanced modeling for viscoelastic materials.
- Transverse magnetic fields impact conductive fluid flow.
Purpose of the Study:
- To develop a fractional mathematical model for unsteady rotational flow of XG.
- To analyze the influence of fractional parameters (α and β) on thermomechanical effects.
- To investigate the impact of cylinder rotation and fractional parameters on field distributions.
Main Methods:
- Development of a fractional mathematical model.
- Application of the Laplace transform for numerical solutions.
- Graphical analysis of field distributions (temperature, velocity, stress, electric current).
Main Results:
- Fractional parameters α and β significantly affect temperature, velocity, stress, and electric current.
- Cylinder rotation influences field distributions, especially at different time scales.
- The model captures the complex interplay between rheology, magnetic fields, and fractional dynamics.
Conclusions:
- Fractional calculus provides a robust framework for modeling XG flow under magnetic fields.
- The study elucidates the critical role of fractional parameters in governing fluid behavior.
- Findings are relevant for applications involving non-Newtonian fluids in electromagnetic environments.
Related Concept Videos
Thin-Walled Hollow Shafts
630
In analyzing a thin-walled hollow shaft subjected to torsional loading, a segment with width dx is isolated for examination. Despite its equilibrium state, this segment faces torsional shearing forces at its ends. These forces are quantitatively described by the product of the longitudinal shearing stress on the segment's minor surface and the area of this surface, leading to the concept of shear flow. This shear flow is consistent throughout the structure, indicating a uniform distribution of...
630
Moment-of-Momentum Equation
494
The moment-of-momentum equation is a critical tool for analyzing the torque produced by the rotating blades of a wind turbine. This equation is derived by applying Newton's second law to a fluid particle, which states that the rate of change of linear momentum is equal to the external force acting on the particle.
494
Irrotational Flow
1.1K
Irrotational flow is characterized by fluid motion where particles do not rotate around their axes, resulting in zero vorticity. For a flow to be irrotational, the curl of the velocity field must be zero. This imposes specific conditions on velocity gradients. For instance, to maintain zero rotation about the z-axis, the gradient condition:
1.1K
Mechanical Systems
737
Mechanical systems are analogous to to electrical networks where springs and masses play similar roles to inductors and capacitors, respectively. A viscous damper in mechanical systems functions similarly to a resistor in electrical networks, dissipating energy. The forces acting on a mass in such systems include an applied force in the direction of motion, counteracted by forces from the spring, a viscous damper, and the mass's acceleration. This interplay of forces is mathematically...
737
Typical Model Studies
667
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
667
Conservation of Energy in Control Volume
1.2K
Consider a turbine operating under steady-flow conditions. The control volume is drawn around the turbine, with fluid entering at one point and exiting at another. The turbine extracts energy from the fluid, which performs mechanical work (shaft work).
For steady flow systems, the time derivative of the stored energy becomes zero since there is no energy accumulation within the control volume. This simplifies the energy equation to:
For steady flow systems, the time derivative of the stored energy becomes zero since there is no energy accumulation within the control volume. This simplifies the energy equation to:
1.2K

