Skip to main content
Log in

Artificial neural network modeling of the Casson fluid flow over unsteady radially stretching sheet with Soret and Dufour effects

  • Published:
Journal of Thermal Analysis and Calorimetry Aims and scope Submit manuscript

Abstract

The Dufour and Soret effects on the flow of a Casson fluid about an unsteady radially stretched sheet are analyzed. The system of nonlinear ordinary differential equations is obtained from the equations governing the flow by employing similarity transformations. The solution to these nonlinear ordinary differential equations is calculated using artificial neural networks. The trial functions employ a multilayer perceptron neural network with programmable parameters (biases and masses). In order to fulfill the governing equations, the ADAMS (adaptive moment estimation algorithm) optimization technique is used to calculate the trial solution’s adjustable parameters. The results suggest that the artificial neural network-based method gives significant accuracy and that the solution’s efficacy increases as the number of neurons in the neural network increases. Also, the computations of skin friction and heat transfer coefficient using the current method are compared with the values obtained by the Runge–Kutta fourth-order method. Further, the impact of relevant parameters on the physical quantities is displayed through graphs. Finally, a comparison using existing literature is made to back up our findings, and an excellent correlation is discovered, affirming our findings. According to the current computation, raising the Soret number improves the Nusselt number and drops the Sherwood number, whereas improving the Dufour number diminishes the Nusselt number and enhances the Sherwood number.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  1. Khan M, Manzur M, Rahman M. On axisymmetric flow and heat transfer of Cross fluid over a radially stretching sheet. Results Phys. 2017;7:3767–72.

    Article  Google Scholar 

  2. Ahmed J, Shahzad A, Begum A, Ali R, Siddiqui N. Effects of inclined Lorentz forces on boundary layer flow of Sisko fluid over a radially stretching sheet with radiative heat transfer. J Braz Soc Mech Sci Eng. 2017;39(8):3039–50.

    Article  CAS  Google Scholar 

  3. Sreelakshmi K, Sarojamma G, Murthy JV. Homotopy analysis of an unsteady flow heat transfer of a Jeffrey nanofluid over a radially stretching convective surface. J Nanofluids. 2018;7(1):62–71.

    Article  Google Scholar 

  4. Khan SA, Nie Y, Ali B. Multiple slip effects on magnetohydrodynamic axisymmetric buoyant nanofluid flow above a stretching sheet with radiation and chemical reaction. Symmetry. 2020;11(9):1171.

    Article  Google Scholar 

  5. Nayak B, Mishra SR, Krishna GG. Chemical reaction effect of an axisymmetric flow over radially stretched sheet. Propul Power Res. 2019;8(1):79–84.

    Article  Google Scholar 

  6. Shahzad A, Ali R, Hussain M, Kamran M. Unsteady axisymmetric flow and heat transfer over time-dependent radially stretching sheet. Alex Eng J. 2017;56(1):35–41.

    Article  Google Scholar 

  7. Shahzad A, Gulistan U, Ali R, Iqbal A, Benim AC, Kamran M, Khan SUD, Khan SUD, Farooq A. Numerical study of axisymmetric flow and heat transfer in a liquid film over an unsteady radially stretching surface. Math Probl Eng. 2020;6:66.

    Google Scholar 

  8. Casson N. A flow equation for pigment-oil suspensions of the printing ink type. In: Mill CC, editor. Rheology of disperse systems, vol. 22. Oxford: Pergamon Press; 1959. p. 84–102.

    Google Scholar 

  9. Nadeem S, Haq RU, Akbar NS, Khan ZH. MHD three-dimensional Casson fluid flow past a porous linearly stretching sheet. Alex Eng J. 2013;52(4):577–82.

    Article  Google Scholar 

  10. Mahanta G, Shaw S. 3D Casson fluid flow past a porous linearly stretching sheet with convective boundary condition. Alex Eng J. 2015;54(3):653–9.

    Article  Google Scholar 

  11. Raju CSK, Sandeep N, Sugunamma V, Babu MJ, Reddy JR. Heat and mass transfer in magnetohydrodynamic Casson fluid over an exponentially permeable stretching surface. Eng Sci Technol Int J. 2016;19(1):45–52.

    Google Scholar 

  12. Malik MY, Khan M, Salahuddin T, Khan I. Variable viscosity and MHD flow in Casson fluid with Cattaneo–Christov heat flux model: using Keller box method. Eng Sci Technol Int J. 2016;19(4):1985–92.

    Google Scholar 

  13. Nawaz M, Naz R, Awais M. Magnetohydrodynamic axisymmetric flow of Casson fluid with variable thermal conductivity and free stream. Alex Eng J. 2018;57(3):2043–50.

    Article  Google Scholar 

  14. Awais M, Raja MAZ, Awan SE, Shoaib M, Ali HM. Heat and mass transfer phenomenon for the dynamics of Casson fluid through porous medium over shrinking wall subject to Lorentz force and heat source/sink. Alex Eng J. 2021;60(1):1355–63.

    Article  Google Scholar 

  15. Sohail M, Shah Z, Tassaddiq A, Kumam P, Roy P. Entropy generation in MHD Casson fluid flow with variable heat conductance and thermal conductivity over non-linear bi-directional stretching surface. Sci Rep. 2020;10(1):1–16.

    Article  Google Scholar 

  16. Faraz F, Imran SM, Ali B, Haider S. Thermo-diffusion and multi-slip effect on an axisymmetric Casson flow over a unsteady radially stretching sheet in the presence of chemical reaction. Processes. 2019;7(11):851.

    Article  CAS  Google Scholar 

  17. Faraz F, Haider S, Imran SM. Study of magneto-hydrodynamics (MHD) impacts on an axisymmetric Casson nanofluid flow and heat transfer over unsteady radially stretching sheet. Applied Sciences. 2020;2(1):1–17.

    Google Scholar 

  18. Soret C. Influence de la temperature sur la distribution des sels dans leurs solutions. C R Acad Sci Paris. 1880;91:289–91.

    Google Scholar 

  19. Eckert ERG, Drake RM. Analysis of heat and mass transfer. New York: McGraw Hill; 1972.

    Google Scholar 

  20. Hayat T, Shehzad SA, Alsaedi A. Soret and Dufour effects on magnetohydrodynamic (MHD) flow of Casson fluid. Appl Math Mech. 2012;33(10):1301–12.

    Article  Google Scholar 

  21. Kameswaran PK, Shaw S, Sibanda P. Dual solutions of Casson fluid flow over a stretching or shrinking sheet. Sadhana. 2014;39(6):1573–83.

    Article  Google Scholar 

  22. Sharada K. MHD mixed convection flow of a Casson fluid over an exponentially stretching surface with the effects of Soret, Dufour, thermal radiation and chemical reaction. World J Mech. 2015;5(09):165.

    Article  Google Scholar 

  23. Oyelakin IS, Mondal S, Sibanda P. Unsteady Casson nanofluid flow over a stretching sheet with thermal radiation, convective and slip boundary conditions. Alex Eng J. 2016;55(2):1025–35.

    Article  Google Scholar 

  24. Venkateswarlu B, Satya Narayana PV. Influence of variable thermal conductivity on MHD Casson fluid flow over a stretching sheet with viscous dissipation, Soret and Dufour effects. Front Heat Mass Transf. 2016;7(16):1–9.

    Google Scholar 

  25. Khan MI, Waqas M, Hayat T, Alsaedi A. A comparative study of Casson fluid with homogeneous–heterogeneous reactions. J Colloid Interface Sci. 2017;498:85–90.

    Article  CAS  Google Scholar 

  26. Ullah I, Khan I, Shafie S. Soret and Dufour effects on unsteady mixed convection slip flow of Casson fluid over a nonlinearly stretching sheet with convective boundary condition. Sci Rep. 2017;7(1):1–19.

    Article  Google Scholar 

  27. Raza J. Thermal radiation and slip effects on magnetohydrodynamic (MHD) stagnation point flow of Casson fluid over a convective stretching sheet. Propul Power Res. 2019;8(2):138–46.

    Article  Google Scholar 

  28. Saravana R, Sailaja M, Reddy RH. Effect of aligned magnetic field on Casson fluid flow over a stretched surface of non-uniform thickness. Nonlinear Eng. 2019;8(1):283–92.

    Article  Google Scholar 

  29. Mouli GB, Gangadhar K, Raju B. On spectral relaxation approach for thermal diffusion and diffusion thermo effects on viscous dissipative Casson Fluid through a stretched surface. Int J Appl Comput Math. 2020;6(6):1–21.

    Article  Google Scholar 

  30. Venkata Ramudu AC, Anantha Kumar K, Sugunamma V, Sandeep N. Impact of Soret and Dufour on MHD Casson fluid flow past a stretching surface with convective–diffusive conditions. J Therm Anal Calorim. 2021;66:1–11.

    Google Scholar 

  31. Lee H, Kang IS. Neural algorithm for solving differential equations. J Comput Phys. 1990;91(1):110–31.

    Article  Google Scholar 

  32. Lagaris IE, Likas A, Fotiadis DI. Artificial neural networks for solving ordinary and partial differential equations. IEEE Trans Neural Netw. 1998;9(5):987–1000.

    Article  CAS  Google Scholar 

  33. Pham DT, Liu X. Neural networks for identification, prediction and control. London: Springer; 1995.

    Book  Google Scholar 

  34. Yadav N, Yadav A, Kumar M. An introduction to neural network methods for differential equations. Berlin: Springer; 2015.

    Book  Google Scholar 

  35. Chakraverty S, Mall S. Artificial neural networks for engineers and scientists: solving ordinary differential equations. Boca Raton: CRC Press; 2017.

    Book  Google Scholar 

  36. Meade AJ Jr, Fernandez AA. Solution of nonlinear ordinary differential equations by feedforward neural networks. Math Comput Model. 1994;20(9):19–44.

    Article  Google Scholar 

  37. Sahari MF, Nezhad AH. Estimation of the flow and heat transfer in MHD flow of a power law fluid over a porous plate using artificial neural networks. Middle East J Sci Res. 2014;22(9):1422–9.

    Google Scholar 

  38. Ziaei-Rad M, Saeedan M, Afshari E. Simulation and prediction of MHD dissipative nanofluid flow on a permeable stretching surface using artificial neural network. Appl Therm Eng. 2016;99:373–82.

    Article  Google Scholar 

  39. Reddy PBA, Das R. Estimation of MHD boundary layer slip flow over a permeable stretching cylinder in the presence of chemical reaction through numerical and artificial neural network modeling. Eng Sci Technol Int J. 2016;19(3):1108–16.

    Google Scholar 

  40. Elayarani M, Shanmugapriya M. Artificial neural network modeling of MHD stagnation point flow and heat transfer towards a porous stretching sheet. AIP Conf Proc. 2019;2161(1): 020043.

    Article  CAS  Google Scholar 

  41. Behrang MA, Ghalambaz M, Assareh E, Noghrehabadi AR. A new solution for natural convection of Darcian fluid about a vertical full cone embedded in porous media prescribed wall temperature by using a hybrid neural network-particle swarm optimization method. World Acad Sci Eng Technol. 2011;49:1098–103.

    Google Scholar 

  42. Mutuk H. A neural network study of Blasius equation. Neural Process Lett. 2020;66:1–16.

    Google Scholar 

  43. Rashidi MM, Nazari MA, Mahariq I, Assad ME, Ali ME, Almuzaiqer R, Nuhait A, Murshid N. Thermophysical properties of hybrid nanofluids and the proposed models: an updated comprehensive study. Nanomaterials. 2021;11(11):3084.

    Article  CAS  Google Scholar 

  44. Rashidi MM, Alhuyi Nazari M, Mahariq I, Ali N. Modeling and sensitivity analysis of thermal conductivity of ethylene glycol-water based nanofluids with alumina nanoparticles. Exp Tech. 2022;66:1–8.

    Google Scholar 

  45. Nazari MA, Salem M, Mahariq I, Younes K, Maqableh BB. Utilization of data-driven methods in solar desalination systems: a comprehensive review. Front Energy Res. 2021;66:541.

    Google Scholar 

  46. Piscopo ML, Spannowsky M, Waite P. Solving differential equations with neural networks: applications to the calculation of cosmological phase transitions. Phys Rev D. 2019;100(1): 016002.

    Article  CAS  Google Scholar 

  47. Kingma DP, Ba J. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014).

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to D. Srinivasacharya.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Srinivasacharya, D., Kumar, R.S. Artificial neural network modeling of the Casson fluid flow over unsteady radially stretching sheet with Soret and Dufour effects. J Therm Anal Calorim 147, 14891–14903 (2022). https://doi.org/10.1007/s10973-022-11694-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10973-022-11694-w

Keywords

Navigation