2020
DOI: 10.1016/j.ijheatmasstransfer.2020.119657
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A pore-scale assessment of the dynamic response of forced convection in porous media to inlet flow modulations

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Cited by 108 publications
(11 citation statements)
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“…In this section, we look at the problem formulation where the model consists of highly nonlinear partial differential equations (PDE) [1-5], and the exact solution of such a model is quite complicated and seems impossible if the number of parameters involved in the problem is greater than the control of the solution. In our case, the problem was, firstly, tackled numerically through the bvp4c package in MATLAB, where we could exercise the similarity transformations along with the aforementioned PDEs transmuted into nonlinear ODEs [9][10][11][12] with the related constraint equation [13]. The pertinent parameters in the problem that were taken to be fixed for computational purposes throughout the process were the following [37]: Du = M = 0.2, R d = Sc = 0.5, θ w = 0.5, Sr = 0.3, φ 1 = φ 2 = 0.1, S = 1.5, and λ = 0.5.…”
Section: Resultsmentioning
confidence: 99%
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“…In this section, we look at the problem formulation where the model consists of highly nonlinear partial differential equations (PDE) [1-5], and the exact solution of such a model is quite complicated and seems impossible if the number of parameters involved in the problem is greater than the control of the solution. In our case, the problem was, firstly, tackled numerically through the bvp4c package in MATLAB, where we could exercise the similarity transformations along with the aforementioned PDEs transmuted into nonlinear ODEs [9][10][11][12] with the related constraint equation [13]. The pertinent parameters in the problem that were taken to be fixed for computational purposes throughout the process were the following [37]: Du = M = 0.2, R d = Sc = 0.5, θ w = 0.5, Sr = 0.3, φ 1 = φ 2 = 0.1, S = 1.5, and λ = 0.5.…”
Section: Resultsmentioning
confidence: 99%
“…They showed that the thermal behavior of TiO 2 nanoparticles was strongly reliant on the power of heating, but at a lower power of heating, the heat transfer was more effective. Afterwards, numerous researchers [7][8][9][10][11][12][13][14] discussed the significance of nanoliquids from different viewpoints. Recently, Saffarian et al [15] utilized nanofluid to change the heat transfer (HETR) of a solar collector through a flat surface via the shapes of several flow paths.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, a sizeable parameter was selected for upper limit time-step number in ramp cases, and mean temperature at the exit was analyzed to monitor convergence with respect to time. A new stoppage criterion was defined to terminate the simulations if the deviation in the last 1000 time-steps is lower than 0.5 K [42]. These proved to be adequate convergence criteria for almost all cases.…”
Section: Methodsmentioning
confidence: 99%
“…The reduction in heat transfer and the resultant increase in the internal temperature gradient, as well as increases in the frictional losses of the flow due to non-Newtonian effects, are the reasons for augmentation of entropy generation in comparison with that of Newtonian fluid [40,41].…”
Section: Parametric Studies On the Effects Of Physical Properties Of mentioning
confidence: 99%