Entropy generation for forced convection in a porous channel with isoflux or isothermal walls
read more
Citations
Entropy generation of nanofluid in presence of magnetic field using Lattice Boltzmann Method
Lattice Boltzmann simulation of nanofluid heat transfer enhancement and entropy generation
Entropy generation for natural convection by heated partitions in a cavity
Application of high porosity metal foams as air-cooled heat exchangers to high heat load removal systems
Forced convection in micro-channels filled with porous media in local thermal non-equilibrium conditions
References
Convection Heat Transfer
Porous and Complex Flow Structures in Modern Technologies
A new model for viscous dissipation in porous media across a range of permeability values
The second law analysis in fundamental convective heat transfer problems
Related Papers (5)
Frequently Asked Questions (10)
Q2. What is the second law of thermodynamics?
For an engineering (real) system the generated entropy is proportional to the destroyed exergy (which is always destroyed as a result of the Second Law; see Bejan (1982)).
Q3. What is the reason for the decrease in Ns values?
For small values of x the value of Ns becomes constant after a short distance from the wall (moving downstream the distance increases) but for large values of x, i.e. in the fully developed region, Ns values continue to decrease till the duct centerline at y=1.
Q4. What is the reason for the vanishing of the longitudinal temperature gradient?
One notes that vanishing the longitudinal temperature gradient will reduce HTI, and consequently Be, for the thermally fully developed region compared to the developing counterpart.
Q5. What is the computational domain of the vorticity-stream function method?
The computational domain is symmetric above the horizontal mid-plane and therefore the lower half of the flow region is considered, as shown in figure 1-b, to reduce the computational time.
Q6. What is the effect of different arrangement of the parameters on the Second Law aspects of the problem?
It is observed that, regardless of the boundary condition, increasing the porous media shape factor and the Brinkman number, and decreasing the dimensionless heat flux or temperature difference, increases the dimensionless degree of irreversibility of the problem, as reflected in Ns. Moreover, one concludes that different arrangement of the parameters will lead to completely different behavior for both Ns and Be as described.
Q7. What is the resulting entropy generation rate?
The resulting entropy generation rate and the Bejan number variations are investigated as a function of the effective system parameters.
Q8. What is the way to reduce the entropy generation rate?
Knowing the components that destroy the most exergy, one improves the efficiency by setting the optimized layout of the system in such a way that the minimum entropy be generated.
Q9. What is the reason for the difference between Be and FFI?
This means that HTI is the dominant part of Ns as reflected in Be plots which are qualitatively similar to those of Ns. Moreover, Be puts on very high values (near unity which is the maximum possible value for Be) that confirms the dominant effect of HTI contribution to Ns over that of FFI.
Q10. What is the entropy production for forced convection in a porous tube?
Applying the Brinkman flow model, Hooman and Ejlali (2006) dealt with entropy production for thermally developing forced convection in a porous tube with the effects of viscous dissipation being included.