Abstract
This work addresses the impact of magnetohydrodynamic Darcy–Forchheimer flow of third-grade nanofluid towards a linearly elastic sheet. Examination has been undertaken in the attendance of velocity slip, Newtonian heating, and non-Fourier heat and mass flux which has not been studied previously. Based on Darcy–Forchheimer model was implemented to illustrate the flow during the porous medium. The entropy minimization of the total system is calculated. Suitable variables are implemented to change the obtained mathematical models into an ODE models. Series solutions are derived by adopting homotopic simulation. After that, the complete investigation of the impact of flow regime on distinct thermofluidic parameters are conferred in the way of graphs and tables. To find the precision of the present solution scheme, a comparison table in limiting conditions is done between the previously available literature and the present results.
Similar content being viewed by others
Data Availability Statement
The raw data supporting the finishes of this article will be made accessible by the authors, without unjustifiable reservation.
Abbreviations
- a :
-
Stretching rate \((s^{-1})\)
- Be :
-
Bejan number
- Br :
-
Brinkman number
- \(B_{0}\) :
-
Constant magnetic field \((kgs^{-2}A^{-1})\)
- C:
-
Concentration \((kgm^{-3})\)
- \(C_{b}\) :
-
Drag coefficient
- \(C_{p}\) :
-
Specific heat \((J kg^{-1}K^{-1})\)
- \(C_{\infty }\) :
-
Ambient concentration \((kg m^{-3})\)
- \(C_{w}\) :
-
Fluid wall concentration \((kg m^{-3})\)
- \(Cf_{x}\) :
-
Skin friction coefficient
- \(D_{B}\) :
-
Brownian diffusion coefficient \((m^{2}s^{-1})\)
- \(D_{T}\) :
-
Thermophoretic diffusion coefficient \((m^{2}s^{-1})\)
- EG :
-
Entropy generation parameter
- \(f(\eta )\) :
-
Velocity similarity function
- \(f_{w}\) :
-
Suction/injection parameter
- Hg:
-
Heat generation parameter
- \(h_{f}\) :
-
Surface heat transfer coefficient \((W m^{-2}K^{-1})\)
- \(\alpha _{1}, \alpha _{2}, \beta \) :
-
Fluid parameters
- k :
-
Thermal conductivity \((W m^{-1}K^{-1})\)
- K:
-
Porous parameter
- L:
-
Auxiliary linear operator
- Le:
-
Lewis number
- M:
-
Magnetic parameter
- N:
-
Non-linear operator
- Nb:
-
Brownian motion parameter
- Nt:
-
Thermophoresis parameter
- Nw:
-
Dimensionless Newtonian heating parameter
- \(Nu_{x}\) :
-
Nusselt number
- Pr:
-
Prandtl number
- \(Q_{0}\) :
-
Dimensional heat generation/absorption coefficient
- q :
-
Heat flux \((W m^{-2})\)
- Rd:
-
Radiation parameter
- Re:
-
Reynolds number
- \(Sh_{x}\) :
-
Sherwood number
- \(S^{'''}_{gen}\) :
-
Local volumetric entropy generation rate \((W m^{-3}K^{-1})\)
- \(S^{'''}_{0}\) :
-
Characteristic entropy generation rate \((W m^{-3}K^{-1})\)
- T :
-
Temperature (K)
- \(T_{\infty }\) :
-
Ambient temperature (K)
- \(T_{f}\) :
-
Convective surface temperature (K)
- \(u_{w}\) :
-
Velocity of the sheet \((m s^{-1})\)
- u, v :
-
Velocity components in (x, y) directions \((m s^{-1})\)
- \(v_{w}>0\) :
-
Suction velocity
- \(v_{w}<0\) :
-
Injection velocity
- x, y :
-
Cartesian coordinates (m)
- \(\chi _{m}\) :
-
Auxiliary parameter
- \(\varphi (\eta )\) :
-
Concentration similarity function
- \(\Gamma \) :
-
Slip parameter
- \(\gamma \) :
-
Dimensionless heat thermal relaxation time
- \(\gamma _{c}\) :
-
Dimensionless mass thermal relaxation time
- \(\eta \) :
-
Similarity parameter
- \(\lambda _{T}\) :
-
Thermal relaxation time
- \(\lambda \) :
-
Dimensionless constant
- v :
-
Kinematic viscosity \((m^{2} s^{-1})\)
- \(\Omega \) :
-
Dimensionless temperature difference
- \(\theta (\eta )\) :
-
Temperature similarity function
- \(\tau \) :
-
Ratio of the effective heat capacity
- \(\rho \) :
-
Density \((kg m^{-1})\)
- \(\sigma \) :
-
Electrical conductivity (S m)
- \(\psi \) :
-
Stream function \((m s^{-1})\)
- \(\zeta \) :
-
Dimensionless concentration difference
References
K. Das, J. Egyptian Math. Soc. 23, 451–6 (2015)
A.V. Kuznetsov, D.A. Nield, Int. J. Therm. Sci. 49, 243–7 (2010)
M.A.A. Hamad, I. Pop, A.I. Md Ismail, Nonlinear Anal. Real World Appl. 2, 1338–46 (2011)
Nadeem S, Rizwan Ul Haq, Khan ZH., Appl. Nanosci. 4, 625–631 (2014)
W.A. Khan, I. Pop, Int J Heat Mass Transfer 53, 2477–83 (2010)
W.A. Khan, A. Aziz, Int. J. Therm. Sci. 50, 1207–14 (2011)
W.A. Khan, A. Aziz, Int. J. Therm. Sci. 50, 2154–60 (2011)
R.A. Van Gorder, E. Sweet, K. Vajravelu, Commun. Nonlinear Sci. Numer. Simul. 15, 1494–1500 (2010)
M. Hassan, M.M. Tabar, H. Nemati, G. Domairry, F. Noori, Int. J. Therm. Sci. 50, 2256–63 (2011)
F.M. Hady, F.S. Ibrahim, S.M. Abdel-Gaied, M.R. Eid, Appl. Math. Mech. 32, 1577–86 (2011)
T. Hayat, T. Muhammad, S.A. Shehzad, A. Alsaedi, Appl. Math. Mech. 36, 747–62 (2015)
P. Rana, R. Bhargava, Commun. Nonlinear Sci. Numer. Simul. 17, 212–26 (2012)
D. Domairry, M. Sheikholeslami, H.R. Ashorynejad, R.S.R. Gorla, M. Khani, J. Nanoeng. Nanosyst. 225, 11512 (2012)
Afify AA, Bazid MAA, J. Comput. Theor. Nanosci. 11, 2440–2448 (2014)
O.D. Makinde, A. Aziz, Int. J. Thermal Sci. 50, 1326–32 (2011)
P. Rana, R. Bhargava, O.A. Bg, Comput. Math. Appl. 64, 2816–32 (2012)
A.A. Afify, M.A.A. Bazid, J. Comput. Theor. Nanosci. 11, 210–8 (2014)
N.S. Elgazery, J. Egypt Math. Soc. 27 (2019). https://doi.org/10.1186/s42787-019-0002-4
A. Sriramalu, N. Kishan, R.J. Anand, J. Energy Heat Mass. Transf 23, 483–95 (2001)
I.C. Liu, Trans. Porous Media 64, 375–92 (2006)
S. Nadeem, U.l. Haq Rizwan, N.S. Akbar, Z.H. Khan, Alexandria Eng. J. 52, 577–682 (2013)
S. Pramanik, Ain Shams Eng. J. 5, 205–12 (2014)
G. Mahanta, S. Shaw, Alexandria Eng. J. 54, 653–9 (2015)
T. Abbas, M.M. Bhatti, M. Ayub, J. Process. Mech Eng. (2017). https://doi.org/10.1177/0954408917719791
M. Sheikholeslami, Phys. Lett. A 381, 494–503 (2017)
M. Zubair, Z. Shah, S. Islam, W. Khan, (Advances in Mechanical Engineering, Dawar A., 2019), p. 11
S.Z. Abbas, W.A. Khan, S. Kadry, M. Ijaz Khan, M. Waqas, Khan M. Imran, Computer Methods and Programs in Biomedicine (2020). https://doi.org/10.1016/j.cmpb.2020.105363
M.W. Ahmad, P. Kumam, Z. Shah, A.A. Farooq, R. Nawaz, A. Dawar, S. Islam, P. Thounthong, Entropy 21, 867 (2019). https://doi.org/10.3390/e21090867
D. Pal, H. Mondal, Int. Commun. Heat Mass Transf. 39, 913–17 (2012)
T. Hayat, T. Muhammad, S. Al-Mezal, S.J. Liao, Int. J. Numer. Methods Heat Fluid Flow 26, 2355–69 (2016)
J.C. Umavathi, O. Ojjela, K. Vajravelu, Int. J. Thermal Sci. 111, 511–24 (2017)
A.K. Alzahrani, Phys. Lett. A 382, 2938–43 (2018)
A. Dawar, Z. Shah, W. Khan, S. Islam, M. Idrees, Adv. Mech. Eng. 11, 115 (2019)
A. Khan, Z. Shah, S. Islam et al., Adv. Mech. Eng. 10, 116 (2018)
G. Rasool, T. Zhang, A.J. Chamkha, A. Shadiq, I. Tlili, G. Shahzadi, Entropy 22, 18 (2020)
K. Loganatha, S. Rajan, J. Therm. Anal. Calorim. 141, 2599–612 (2020)
R. Ahmad, M. Mustafa, M. Turkyilmazoglu, Int. J. Heat Mass Transf. 111, 827–35 (2017)
T. Hayat, M. Bilal Ashraf, S.A. Shehzad, A. Alsaedi, J. Appl. Fluid Mech. 8, 803–13 (2015)
O.D. Makinde, A. Aziz, Int. J. Ther Sci. 50, 1326–32 (2011)
K. Loganathan, S. Sivasankaran, M. Bhuvaneswari, S. Rajan, J. Therm. Anal. Calorim. 136, 401–9 (2019)
G.S. Seth, M.K. Mishra, A.J. Chamkha, J. Nanofluids. 5, 511–21 (2016)
T. Muhammad, A. Alsaedi, T. Hayat, S.A. Shehzad, Results Phys. 7, 2791–97 (2017)
W.A. Khan, I. Pop, Int. J. Heat Mass Transf. 53, 2477–83 (2010). https://doi.org/10.1016/j.ijheatmasstransfer.2010.01.032
M. Imtiaz, A. Alsaedi, A. Shaq, T. Hayat, J. Mol. Liq. 229, 501–7 (2017). https://doi.org/10.1016/j.molliq.2016.12.103
J. Buongiorno, J. Heat Transf. 128, 240–50 (2005). https://doi.org/10.1115/1.2150834
R.S. Rivlin, J. Ericksen, Stress-deformation relations for isotropic materials. In: Collected Papers of RS Rivlin. Springer, Berlin, p. 911–1013 (1997). https://doi.org/10.1007/978-1-4612-2416-7-13
R. Fosdick, K. Rajagopal, Thermodynamics and stability of fluids of third grade. In: Proceedings of the Royal Society of London A: Mathematical, Physical and Engineering Sciences. The Royal Society (1980)
M. Pakdemirli, Int. J. Nonlinear Mech. 27, 785–93 (1992). https://doi.org/10.1016/0020-7462(92)90034-5
S.J. Liao, The proposed homotopy analysis technique for the solution of nonlinear problems (Shanghai Jiao Tong University, (Ph.D. thesis), Shanghai, China, 1992)
S.J. Liao, Int. J. Nonlinear Mech. 34, 759–78 (1999). https://doi.org/10.1016/S0020-7462(98)00056-0
C.Y. Wang, ZAMM Z. Angew Math Mech. 69, 418–20 (1989). https://doi.org/10.1002/zamm.19890691115
R.R. Gorla, I. Sidawi, Appl. Sci. Res. 52, 247–57 (1994). https://doi.org/10.1007/BF00853952
O.D. Makinde, A. Aziz, Int. J. Therm. Sci. 50, 1326–32 (2011). https://doi.org/10.1016/j.ijthermalsci.2011.02.019
M.M. Rashidi, S. Bagheri, E. Momoniat, N. Freidoonimehr, Ain Shams Eng. J. 8, 77–85 (2017)
T. Hayat, R. Riaz, A. Aziz, A. Alsaedi, Phys. Scr. 94, 125703 (2019)
Acknowledgements
This research was funded by the Deanship of Scientific Research at Princess Nourah Bint Abdulrahman University through the Fast-track Research Funding Program.
Author information
Authors and Affiliations
Contributions
All authors contributed equally to this work.
Corresponding author
Rights and permissions
About this article
Cite this article
Loganathan, K., Alessa, N., Tamilvanan, K. et al. Significances of Darcy–Forchheimer porous medium in third-grade nanofluid flow with entropy features. Eur. Phys. J. Spec. Top. 230, 1293–1305 (2021). https://doi.org/10.1140/epjs/s11734-021-00056-6
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1140/epjs/s11734-021-00056-6