Abstract
In this paper, the fractional model of the bioconvection flow of a MHD viscous fluid for vertical surface has been investigated. Introducing dimensionless variables, the governing equations are solved by Laplace transform technique. Classical governing model is drawn out to fractional order technique with non-singular kernel which can be used to explain the memory for natural phenomena. Since this operator describes the rate of change at each point of the measured interval, so we use this operator. To see the behavior of related parameters physically, some graphs have been plotted in conclusion section. In the end, some useful conclusions have been attained. It is resulted that constant proportional Caputo fractional derivative measures the memory strong in comparison with Caputo and Caputo–Fabrizio fractional approaches. Further, on comparison between different kinds of viscous fluid (Water, Air, Kerosene) and found that temperature and velocity of air are higher than water and kerosene, respectively. The impacts of dimensionless numbers on velocity field have been discussed graphically and concluded that velocity increased by increasing \(\text {Gr}\) and showed opposite behavior for \(\text {M}\) and \(\text {Ra}\).
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10973-022-11609-9/MediaObjects/10973_2022_11609_Fig1_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10973-022-11609-9/MediaObjects/10973_2022_11609_Fig2_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10973-022-11609-9/MediaObjects/10973_2022_11609_Fig3_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10973-022-11609-9/MediaObjects/10973_2022_11609_Fig4_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10973-022-11609-9/MediaObjects/10973_2022_11609_Fig5_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10973-022-11609-9/MediaObjects/10973_2022_11609_Fig6_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10973-022-11609-9/MediaObjects/10973_2022_11609_Fig7_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10973-022-11609-9/MediaObjects/10973_2022_11609_Fig8_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10973-022-11609-9/MediaObjects/10973_2022_11609_Fig9_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10973-022-11609-9/MediaObjects/10973_2022_11609_Fig10_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10973-022-11609-9/MediaObjects/10973_2022_11609_Fig11_HTML.png)
Similar content being viewed by others
Data availability
All data generated or analyzed during this study are included in this article.
Abbreviations
- \(\rho\) :
-
Fluid density
- g :
-
Gravitational acceleration
- T :
-
Fluid temperature
- \(\Theta\) :
-
Dimensionless temperature
- \(T_\mathrm{w}\) :
-
Temperature at the wall
- \(T_{\infty }\) :
-
Ambient temperature of the fluid
- v :
-
Velocity
- k :
-
Thermal conductivity
- \(D_\mathrm{N}\) :
-
Diffusivity of microorganisms
- Ra:
-
Bioconvection Rayleigh number
- q :
-
Laplace transform
- C :
-
Caputo
- M :
-
magnetic field parameter
- \(\mu\) :
-
Viscosity
- \(\beta _\mathrm{T}\) :
-
Volumetric coefficient of thermal expansion
- N :
-
Concentration of microorganisms
- \(\eta\) :
-
Dimensionless concentration of microorganisms
- \(N_\mathrm{w}\) :
-
Concentration of microorganisms at the wall
- \(N_{\infty }\) :
-
The density of motile microorganisms
- \(\Omega\) :
-
Dimensionless velocity
- \(C_\mathrm{p}\) :
-
Specific heat at constant pressure
- \(\phi\) :
-
The dimensionless nanoparticle volume fraction
- Gr:
-
Grashof number
- CPC:
-
Constant proportional Caputo
- CF:
-
Caputo–Fabrizio
- H(t):
-
Unit step function
References
Machado JAT, Silva MF, Barbosa RS, Jesus IS, Reis CM, Marcos MG, Galhano AF. Some applications of fractional calculus in engineering. Math Probl Eng. 2010;2010:1–34.
Ikram MD, Imran MA, Ahmadian A, Ferrara M. A new fractional mathematical model of extraction nanofluids using clay nanoparticles for different based fluids. Math Methods Appl Sci. 2020;2020:1–14.
Ikram MD, Imran MA, Chu YM, Akgul A. MHD flow of a Newtonian fluid in symmetric channel with ABC fractional model containing hybrid nanoparticles. Comb Chem High Throughput Screen. 2021. https://doi.org/10.2174/1386207324666210412122544.
Baleanu D, Fernandez A, Akgul A. On a fractional operator combining proportional and classical differintegrals. Mathematics. 2020;8:360.
Imran MA, Ikram MD, Ali R, Baleanu D, Alshomrani AS. New anayltical soltuions of heat transfer flow of clay-water base nanoparticles with the application of novel hybrid fractional derivative. Therm Sci. 2020;24(Suppl. 1):S343–50.
Gunerhan H, Dutta H, Dokuyucu MA, Adel W. Analysis of a fractional HIV model with Caputo and constant proportional Caputo operators. Chaos Solit Fractals. 2020;139: 110053.
Imran MA, Ikram MD, Akgul A. Analysis of MHD viscous fluid flow through porous medium with novel power law fractional differential operator. Phys Scr. 2020;95(11): 115209.
Ikram MD, Imran MA, Akgul A, Baleanu D. Effects of hybrid nanofluid on novel fractional model of heat transfer flow between two parallel plates. Alex Eng J. 2021;60(4):3593–604.
Chu YM, Ikram MD, Imran MA, Ahmadian A, Ghaemi F. Influence of hybrid nanofluids and heat generation on coupled heat and mass transfer flow of a viscous fluid with novel fractional derivative. J Therm Anal Calorim. 2021. https://doi.org/10.1007/s10973-021-10692-8.
Atangana A. Blind in a commutative world: simple illustrations with functions and chaotic attractors. Chaos Solit Fractals. 2018;114:347–63.
Qureshi S, Atangana A. Mathematical analysis of dengue fever outbreak by novel fractional operators with field data. Phys A. 2019;526: 121127.
Akgul A, Baleanu D. Analysis and applications of the proportional Caputo derivative. Adv Differ Equ. 2021. https://doi.org/10.1186/s13662-021-03304-0.
Jarad F, Alqudah MA, Abdeljawad T. On more general forms of proportional fractional operators. Open Math J. 2020;18(1):167.
Sudsutad W, Alzabut J, Tearnbucha C, Thaiprayoon C. On the oscillation of differential equations in frame of generalized proportional fractional derivatives. AIMS Math. 2020;5(2):856–71.
Imran MA. Novel fractional differential operator and its application in fluid dynamics. J Prime Res Math. 2020;16(2):67–79.
Kuznetsov AV. The onset of nanofluid bioconvection in a suspension containing both nanoparticles and gyrotactic microorganisms. Int Commun Heat Mass Transf. 2010;37: 101421.
Khan SU, Khaled K, Aldabesh A, Awais M, Tlili T. Bioconvection flow in accelerated couple stress nanoparticles with activation energy: bio-fuel applications. Sci Rep. 2021;11(1):1.
Khaled KA, Khan SU, Khan I. Chemically reactive bioconvection flow of tangent hyperbolic nanoliquid with gyrotactic microorganisms and nonlinear thermal radiation. Heliyon. 2020;6(1): e03117.
Ullah MZ, Jang TS. An efficient numerical scheme for analyzing bioconvection in von-Kárm’an flow of third-grade nanofluid with motile microorganisms. Alex Eng J. 2020;59:2739–52.
Hilledson AJ, Pedley TJ. Bioconvection in suspensions of oxytactic bacteria: linear theory. J Fluid Mech. 1996;324:223–59.
Puneeth V, Manjunatha S, Makinde OD, Gireesha BJ. Bioconvection of a Radiating Hybrid Nanofluid Past a Thin Needle in the Presence of Heterogeneous-Homogeneous Chemical Reaction. J Heat Transfer. 2021;143(4): 042502.
Imran MA, Butt MH, Sadiq MA, Ikram MD, Jarad F. Unsteady Casson fluid flow over a vertical surface with fractional bioconvection. AIMS Math. 2022;7(5):8112–26.
Imran MA, Sunthrayuth P, Ikram MD, Muhammad T, Alshomrani AS. Analysis of non-singular fractional bioconvection and thermal memory with generalized Mittag-Leffler kernel. Chaos Solit Fractals. 2022;159: 112090.
Beg OA, Prasad VR, Vasu B. Numerical study of mixed bioconvection in porous media saturated with nanofluid containing oxytactic microorganisms. J Mech Med Biol. 2013;13(04):1350067.
Javadi A, Arrieta J, Tuval I, Polin M. Photo-bioconvection: towards light control of flows in active suspensions. Philos Trans R Soc A. 2020;378(2179):20190523.
Quang TN, Nguyen TH, Guichard F, Nicolau A, Szatmari G, LePalec G, Bohatier J. Two-dimensional gravitactic bioconvection in a protozoan (Tetrahymena pyriformis) culture. Zool Sci. 2009;26(1):54–65.
Itoh A, Toida H. Control of bioconvection and its mechanical application. IEEE/ASME International Conference on Advanced Intelligent Mechatronics. Proceedings. (Cat. No.01TH8556). 2001.
Mondal SK, Pal D. Computational analysis of bioconvective flow of nanofluid containing gyrotactic microorganisms over a nonlinear stretching sheet with variable viscosity using HAM. J Comput Des Eng. 2020. https://doi.org/10.1093/jcde/qwaa021.
Karimi A, Paul MR. Bioconvection in spatially extended domains. Phys Rev E. 2013;87(5):1–10.
Imran MA, Rehman SU, Ahmadian A, Salahshour S, Salimi M. First solution of fractional bioconvection with power law kernel for vertical surface. Mathematics. 2021;9:1366.
Raees A, Xu H, Liao SJ. Unsteady mixed nano-bioconvection flow in a horizontal channel with its upper plate expanding or contracting. Int J Heat Mass Transf. 2015;86:174–82.
Zhao Q, Xu H, Tao L. Unsteady bioconvection squeezing flow in a horizontal channel with chemical reaction and magnetic field effects. Math Probl Eng 2017;2017.
Latiff NAA, Uddin MJ, Beg OA, Ismail AI. Unsteady forced bioconvection slip flow of a micropolar nanofluid from a stretching/shrinking sheet. Proc Inst Mech Eng N J Nanomater Nanoeng Nanosyst. 2016;230(4):177–87.
Ali L, Liu X, Ali B, Mujeed S, Abdal S. Finite element simulation of multi-slip effects on unsteady mhd bioconvective micropolar nanofluid flow over a sheet with solutal and thermal convective boundary conditions. Coat. 2019;9(12):842.
Hristov J. Derivatives with non-singular kernels from the Caputo-Fabrizio definition and beyond: appraising analysis with emphasis on diffusion models. Front Fract Calc. 2017;1:270–342.
Povstenko Y. Fractional thermoealsticity. Cham: Springer; 2015.
Acknowledgments
The authors are greatly obliged and thankful to the University of Management and Technology Lahore, Pakistan for facilitating and supporting the research work.
Author information
Authors and Affiliations
Corresponding authors
Ethics declarations
Conflict of interest
The authors declare that they have no competing interests.
Ethical approval
This article does not contain any studies with human participants or animals performed by any of the authors.
Informed consent
Informed consent was obtained from all individual participants included in the study.
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 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.
About this article
Cite this article
Asjad, M.I., Ikram, M.D., Ahmadian, A. et al. New solutions of generalized MHD viscous fluid flow with thermal memory and bioconvection. J Therm Anal Calorim 147, 14019–14029 (2022). https://doi.org/10.1007/s10973-022-11609-9
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10973-022-11609-9