Abstract
The optimised flow of nanofluids is quite essential to improve the thermal mechanism of various reacting materials. The entropy generation phenomenon is essential to avoid heat losses in thermal transport systems, heating processes and various engineering devices. In this theoretical analysis, the aspects of entropy generation is presented for time-independent second-grade nanomaterials for disk flow which shows rotating behaviours. The second-grade constitutive relations result in highly nonlinear differential equations. The effects of MHD, nonlinear radiation and chemical reaction are manifested in momentum, heat and concentration equations. Precise numerical treatment for a wide range of non-Newtonian fluid parameters was adopted to tackle the resulting similarity equations. The fluctuation against the heat transfer system, wall shear stress and mass changing phenomenon were also calculated and examined for various parametrical values. The interesting Chebyshev spectral collocation numerical simulations were performed to present the solution. This research finds that the entropy generation and Bejan number show the same trend for temperature and concentration difference parameters, whereas an opposite trend can be seen for the fluid and magnetic parameters. Also, entropy generation increases for diffusion parameter and Brinkman number, but Bejan number shows two trends.
Similar content being viewed by others
References
S U S Choi and J A Eastman, Proceed. ASME Int. Mech. Eng. Cong. Exposit. 66, 99 (1995)
J Buongiorno, J. Heat Transf. Trans. (ASME) 128, 240 (2006)
K L Hsiao, Appl. Therm. Eng. 98, 850 (2016)
S E Ahmed, Z A S Raizah and A M Aly, J. King Saud Uni.-Sci. 31, 352 (2019)
M Turkyilmazoglu, Int. J. Heat Mass Transf. 106, 127 (2017)
M M Rashidi, N Freidoonimehr, A Hosseini, O A Bég and T K Hung, Meccanica 49, 469 (2014)
W Ibrahim, Results Phys. 7, 3723 (2017)
H Waqas, M Imran, S U Khan, S A Shehzad and M A Meraj, Appl. Math. 40, 1255 (2019)
A Wakif, A Chamkha, T Thumma, I L Animasaun and R Sehaqui, J. Therm. Anal. Calorim. 143, 1201 (2021)
M G Reddy, M V V L S Rani, K G Kumar, B C Prasannakumar and H J Lokesh, Physica A 551, 123975 (2020)
M I Khan, S U Khan, M Jameel, Y M Chu, I Tlili and S Kadry, Surf. Interfaces 22, 100849 (2021)
R Ali, A Akgül and M I Asjad, Pramana – J. Phys. 94, 131 (2020)
Y M Chu, N Khan, M I Khan, K Al-Khaled, N Abbas, S U Khan, M S Hashmi, S Qayyum and S Kadry, Alex. Eng. J. 60, 1851 (2021)
M Hassan, E R El-Zahar, S U Khan, Mo. Rahimi-Gorji and A Ahmad, Numer. Meth. Partial Diff. Equ. 37, 1234 (2021)
A Bejan, J. Heat Transfer 101, 718 (1979)
S M Seyyedi, A S Dogonchi, M H Tilehnoee, M Waqas and D D Ganji, Appl. Therm. Eng. 168, 114789 (2020)
S Das, R N Jana and O D Makinde, J. Heat Mass Transfer 2, 51 (2015)
A Riaz, A Gul, I Khan, K Ramesh, S U Khan, D Baleanu and K S Nisar, Coatings 10, 213 (2020)
G M A R Rashed, J. Appl. Math., 2016, 1748312 (2016)
N Khan, I Riaz, M S Hashmi, S A Musmar, S U Khan, Z Abdelmalek and I Tlili, Entropy 22, 495 (2020)
M Turkyilmazoglu, J. Non-Equil. Thermodyn. 45 , 247 (2020)
M K Nayak, S Shaw, M I Khan, O D Makinde, Y M Chu and S U Khan, Alex. Eng. J. 60, 4067 (2021)
N B Khan, M I Khan, W A Khan and M K Nayak, Indian J. Phys. 95, 717 (2021)
M Turkyilmazoglu, Comput. Meth. Prog. Biomed. 187, 105171 (2020)
M Turkyilmazoglu, Int. J. Therm. Sci. 50, 2264 (2011)
T Hayat, M Kanwal, S Qayyum and A Alsaedi, Physica A 544, 123437 (2020)
M Nazeer, F Hussain, M I Khan, A U Rehman, E R El-Zahar, Y M Chu and M Y Malik, Appl. Math. Comput. 420, 126868 (2022)
Y M Chu, B M Shankaralingappa, B J Gireesha, F Alzahrani, M I Khan and S U Khan, Appl. Math. Comput. 419, 126883 (2022)
T-H Zhao, M I Khan and Y-M Chu, Math. Meth. Appl. Sci.,https://doi.org/10.1002/mma.7310 (2021)
R J P Gowda, A M Jyothi, R N Kumar, B C Prasannakumara and I E Sarris, Int. J. Appl. Comput. Math. 7, 226 (2021)
M Waqas, M I Khan, T Hayat, M M Gulzar and A Alsaedi, Chaos Solitons Fractals 130, 109415 (2020)
R N Kumar, S Suresha, R J P Gowda, S B Megalamani and B C Prasannakumara, Pramana – J. Phys. 95, 180 (2021)
S Qayyum, M I Khan, T Hayat and A Alsaedi, Physica B 534, 173 (2018)
A M Jyothi, R N Kumar, R J P Gowda and B C Prasannakumara, Commun. Theor. Phys. 73, 095005 (2021)
M I Khan, F Alzahrani and A Hobiny, J. Mater. Res. Technol. 9, 7335 (2020)
R J P Gowda, R N Kumar, A M Jyothi and B C Prasannakumara, Appl. Math. Mech. 101, e202000372 (2021)
R J P Gowda, R N Kumar, A M Jyothi, B C Prasannakumara and I E Sarris, Processes 9, 702 (2021)
M Iqbal, A Ghaffari and I Mustafa, Sci. Iran. 26, 3905 (2019)
I Mustafa, T Javed, A Ghaffari and H Khalil, Pramana – J. Phys. 93, 53 (2019)
A Ghaffari, I Mustafa and T Javed, Nihon Reoroji Gakkaishi 46, 155 (2018)
A Majeed, T Javed, A Ghaffari and M M Rashidi, Alex. Eng. J. 54, 1029 (2015)
L N Trefethen, Spectral methods in MATLAB (SIAM, Philadelphia, 2000)
A Abbasi, W Farooq, T Muhammad, M I Khan, S U Khan, F Mabood, S BiBi, Chem. Phys. Lett. 783, 139041 (2021)
Acknowledgements
The authors would like to thank the Deanship of Scientific Research at Umm Al-Quara University for supporting this work under Grant No. 22UQU4290491DSR02.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Alsallami, S.A.M., Usman, Khan, S.U. et al. Numerical simulations for optimised flow of second-grade nanofluid due to rotating disk with nonlinear thermal radiation: Chebyshev spectral collocation method analysis. Pramana - J Phys 96, 98 (2022). https://doi.org/10.1007/s12043-022-02337-8
Received:
Revised:
Accepted:
Published:
DOI: https://doi.org/10.1007/s12043-022-02337-8
Keywords
- Radiative flow
- viscoelastic nanofluid
- Brownian motion and thermophoretic diffusion
- Chebyshev spectral collocation method