Analysis of the effect of arrhenius activation energy and temperature dependent viscosity on non-newtonian maxwell nanofluid bio-convective flow with partial slip by artificial intelligence approach

Chemical Thermodynamics and Thermal Analysis - Tập 6 - Trang 100039 - 2022
Andaç Batur Çolak1
1Department of Mechanical Engineering, Engineering Faculty, Niğde Ömer Halisdemir University, Niğde, 51240, Turkey

Tài liệu tham khảo

Choi, 1995, Enhancing thermal conductivity of fluids with nanoparticles, Argonne Natl. Lab. Waqas, 2020, Influence of bioconvection on Maxwell nanofluid flow with the swimming of motile microorganisms over a vertical rotating cylinder, Chin. J. Phys., 68, 558, 10.1016/j.cjph.2020.10.014 Maxwell, 1867, On the dynamical theory of gases, Phil. Trans. Roy. Soc. Lond., 157, 49, 10.1098/rstl.1867.0004 Khan, 2021, A comparative study between linear and exponential stretching sheet with double stratification of a rotating Maxwell nanofluid flow, Surfaces Interfaces, 22, 10.1016/j.surfin.2020.100886 Parvin, 2021, Numerical treatment of 2D-Magneto double-diffusive convection flow of a Maxwell nanofluid: Heat transport case study, Case Studies Thermal Eng., 28, 10.1016/j.csite.2021.101383 Mabood, 2021, Impacts of Stefan blowing and mass convention on flow of Maxwell nanofluid of variable thermal conductivity about a rotating disk, Chin. J. Phys., 71, 260, 10.1016/j.cjph.2021.03.003 Ahmad, 2021, Computational analysis of the unsteady 3D chemically reacting MHD flow with the properties of temperature dependent transpose suspended Maxwell nanofluid, Case Studies Thermal Eng., 26, 10.1016/j.csite.2021.101169 Mustafa, 2017, Numerical study of MHD viscoelastic fluid flow with binary chemical reaction and Arrhenius activation energy, Int. J. Chem. React. Eng., 15, 127 Kumar, 2021, Transportation of magnetite nanofluid flow and heat transfer over a rotating porous disk with Arrhenius activation energy: Fourth order Noumerov's method, Chin. J. Phys., 69, 172, 10.1016/j.cjph.2020.11.018 Asma, 2019, Numerical study for Darcy-Forchheimer flow of nanofluid due to a rotating disk with binary chemical reaction and Arrhenius activation energy, Mathematics, 7, 921, 10.3390/math7100921 Asma, 2019, Numerical study for magnetohydrodynamic flow of nanofluid due to a rotating disk with binary chemical reaction and Arrhenius activation energy, Symmetry, 11, 1282, 10.3390/sym11101282 Hayat, 2019, Effects of binary chemical reaction and Arrhenius activation energy in Darcy-Forchheimer three-dimensional flow of nanofluid subject to rotating frame, J. Thermal Anal. Calorimet., 136, 1769, 10.1007/s10973-018-7822-6 Kalaivanan, 2020, An investigation on Arrhenius activation energy of second grade nanofluid flow with active and passive control of nanomaterials, Case Studies Thermal Eng., 22, 10.1016/j.csite.2020.100774 Maraj, 2021, Effect of arrhenius activation energy and medium porosity on mixed convective diluted ethylene glycol nanofluid flow towards a curved stretching surface, Int. Commun. Heat Mass Transfer, 129, 10.1016/j.icheatmasstransfer.2021.105691 Khan, 2021, Bio-convective micropolar nanofluid flow over thin moving needle subject to Arrhenius activation energy, viscous dissipation and binary chemical reaction, Case Studies Thermal Eng., 25, 10.1016/j.csite.2021.100989 Abdelmalek, 2020, Mixed radiated magneto Casson fluid flow with Arrhenius activation energy and Newtonian heating effects: Flow and sensitivity analysis, Alexandria Eng. J., 59, 3991, 10.1016/j.aej.2020.07.006 Khan, 2020, Simultaneous effects of bioconvection and velocity slip in three-dimensional flow of Eyring-Powell nanofluid with Arrhenius activation energy and binary chemical reaction, Int. Commun. Heat Mass Transfer, 117, 10.1016/j.icheatmasstransfer.2020.104738 Azam, 2020, Effects of Arrhenius activation energy in development of covalent bonding in axisymmetric flow of radiative-Cross nanofluid, Int. Commun. Heat Mass Transfer, 113, 10.1016/j.icheatmasstransfer.2020.104547 Hayat, 2020, Influence of Arrhenius activation energy in MHD flow of third grade nanofluid over a nonlinear stretching surface with convective heat and mass conditions, Physica A, 549, 10.1016/j.physa.2019.124006 Wager, 1911, On the effect of gravity upon the movements and aggregation of Euglena viridis, Ehrb., and other micro-organisms, Philos. Trans. Biol. Sci., 201, 333 Platt, 1961, ‘Bioconvection patterns” in cultures of free-swimming organisms, Science, 133, 1766, 10.1126/science.133.3466.1766 Li, 2021, Simultaneous features of Wu's slip, nonlinear thermal radiation and activation energy in unsteady bio-convective flow of Maxwell nanofluid configured by a stretching cylinder, Chin. J. Phys., 73, 462, 10.1016/j.cjph.2021.07.033 Kuznetsov, 2010, The onset of nanofluid bioconvection in a suspension containing both nanoparticles and gyrotactic microorganisms, Int. Commun. Heat Mass Transfer, 37, 1421, 10.1016/j.icheatmasstransfer.2010.08.015 Kuznetsov, 2011, Nanofluid bioconvection in water-based suspensions containing nanoparticles and oxytactic microorganisms: oscillatory instability, Nanoscale Res. Lett., 6, 100, 10.1186/1556-276X-6-100 Alzahrani, 2021, Significance of induced magnetic force bio-convective flow ofradiative Maxwell nanofluid with activation energy, Case Studies Thermal Eng., 27, 10.1016/j.csite.2021.101282 Babu, 2016, Effect of nonlinear thermal radiation on non-aligned bio-convective stagnation point flow of a magnetic-nanofluid over a stretching sheet, Alexandria Eng. J., 55, 1931, 10.1016/j.aej.2016.08.001 Kumar, 2017, Numerical modeling of time-dependent bio-convective stagnation flow of a nanofluid in slip regime, Results Phys., 7, 3325, 10.1016/j.rinp.2017.08.059 Akhgar, 2019, Developing dissimilar artificial neural networks (ANNs) to prediction the thermal conductivity of MWCNT-TiO2 water-ethylene glycol hybrid nanofluid, Powder Technol., 355, 602, 10.1016/j.powtec.2019.07.086 Çolak, 2021, A novel comparative analysis between the experimental and numeric methods on viscosity of zirconium oxide nanofluid: developing optimal artificial neural network and new mathematical model, Powder Technol., 381, 338, 10.1016/j.powtec.2020.12.053 Shi, 2021, Thermo-physical properties prediction of carbon-based magnetic nanofluids based on an artificial neural network, Renewable Sustainable Energy Rev., 149, 10.1016/j.rser.2021.111341 Uddin, 2021, Design of intelligent computing networks for numerical treatment of thin film flow of Maxwell nanofluid over a stretched and rotating surface, Surfaces Interfaces, 24, 10.1016/j.surfin.2021.101107 Çolak, 2020, Experimental study for predicting the specific heat of water based Cu-Al2O3 hybrid nanofluid using artificial neural network and proposing new correlation, Int. J. Energy Res., 44, 7198, 10.1002/er.5417 Al-Rashed, 2021, Numerical investigation and neural network modeling of the performance of a dual-fluid parabolic trough solar collector containing non-Newtonian water-CMC/Al2O3 nanofluid, Sustain. Energy Technol. Assess., 48 Abbas, 2021, Parametric analysis and minimization of entropy generation in bioinspired magnetized non-Newtonian nanofluid pumping using artificial neural networks and particle swarm optimization, Thermal Sci. Eng. Prog., 24 Kumar, 2021, Efficacy evaluation of oxide-MWCNT water hybrid nanofluids: An experimental and artificial neural network approach, Colloids Surf. A, 620, 10.1016/j.colsurfa.2021.126562 Zhang, 2021, Hybrid nanofluid flow towards an elastic surface with tantalum and nickel nanoparticles, under the influence of an induced magnetic field, Eur. Phys. J. Spec. Top., 10.1140/epjs/s11734-021-00409-1 Bhatti, 2022, Swimming of Gyrotactic Microorganism in MHD Williamson nanofluid flow between rotating circular plates embedded in porous medium: application of thermal energy storage, J. Energy Storage, 45, 10.1016/j.est.2021.103511 Ali, 2021, Insight into the dynamics of Oldroyd-B fluid over an upper horizontal surface of a paraboloid of revolution subject to chemical reaction dependent on the first-order activation energy, Arab J Sci Eng, 46, 6039, 10.1007/s13369-020-05324-6 Hayat, 2016, Numerical simulation for nonlinear radiative flow by convective cylinder, Results Phys., 6, 1031, 10.1016/j.rinp.2016.11.026 Qayyum, 2018, Comparative investigation of five nanoparticles in flow of viscous fluid with Joule heating and slip due to rotating disk, Physica B, 534, 173, 10.1016/j.physb.2018.01.044 M.Waqas, 2020, Transportation of radiative energy in viscoelastic nanofluid considering buoyancy forces and convective conditions, Chaos Solitons Fractals, 130, 10.1016/j.chaos.2019.109415 Khan, 2019, Modeling and computational analysis of hybrid class nanomaterials subject to entropy generation, Comput. Methods Programs Biomed., 179, 10.1016/j.cmpb.2019.07.001 Gireesha, 2020, Flow of hybrid nanofluid across a permeable longitudinal moving fin along with thermal radiation and natural convection, Comput. Methods Programs Biomed., 185, 10.1016/j.cmpb.2019.105166 Hayat, 2018, Simulation of ferromagnetic nanomaterial flow of Maxwell fluid, Results Phys., 8, 34, 10.1016/j.rinp.2017.11.021 Hayat, 2017, Numerical simulation of heat transfer in MHD stagnation point flow of Cross fluid model towards a stretched surface, Results Phys., 7, 1824, 10.1016/j.rinp.2017.05.022 Hayat, 2019, Physical significance of heat generation/absorption and Soret effects on peristalsis flow of pseudoplastic fluid in an inclined channel, J. Mol. Liq., 275, 599, 10.1016/j.molliq.2018.11.055 Khan, 2020, Binary chemical reaction with activation energy in dissipative flow of non-Newtonian nanomaterial, J. Theor. Comput. Chem., 19, 10.1142/S0219633620400064 Khan, 2020, Simulation and modeling of second order velocity slip flow of micropolar ferrofluid with Darcy–Forchheimer porous medium, J. Mater. Res. Technology, 9, 7335, 10.1016/j.jmrt.2020.04.079 S.U. Khan, Usman, K. Al-Khaled, S.M. Hussain, A. Ghaffari, M.I. Khan, M.W. Ahmed, Implication of arrhenius activation energy and temperature-dependent viscosity on non-newtonian nanomaterial bio-convective flow with partial slip, (2021) https://doi.org/10.1007/s13369-021-06274-3 Vaferi, 2014, Artificial neural network approach for prediction of thermal behavior of nanofluids flowing through circular tubes, Powder Technol., 267, 1, 10.1016/j.powtec.2014.06.062 Çolak, 2020, Developing optimal artificial neural network (ANN) to predict the specific heat of water based yttrium oxide (Y2O3) nanofluid according to the experimental data and proposing new correlation, Heat Transfer Res., 51, 1565, 10.1615/HeatTransRes.2020034724 Canakci, 2012, Modeling the influence of a process control agent on the properties of metal matrix composite powders using artificial neural networks, Powder Technol., 228, 26, 10.1016/j.powtec.2012.04.045 Vaferi, 2011, Automatic recognition of oil reservoir models from well testing data by using multi-layer perceptron networks, J. Petrol. Sci. Eng., 77, 254, 10.1016/j.petrol.2011.03.002 Çolak, 2021, Experimental analysis with specific heat of water based zirconium oxide nanofluid on the effect of training algorithm on predictive performance of artificial neural network, Heat Transfer Res., 52, 67, 10.1615/HeatTransRes.2021036697 Çolak, 2021, An experimental study on the comparative analysis of the effect of the number of data on the error rates of artificial neural networks, Int. J. Energy Res., 45, 478, 10.1002/er.5680 Ahmadloo, 2016, Prediction of thermal conductivity of various nanofluids using artificial neural network, Int. Commun. Heat Mass Transfer, 74, 69, 10.1016/j.icheatmasstransfer.2016.03.008 Çolak, 2021, A novel comparative investigation of the effect of the number of neurons on the predictive performance of the artificial neural network: an experimental study on the thermal conductivity of ZrO2 nanofluid, Int. J. Energy Res., 45, 18944, 10.1002/er.6989 Vafaei, 2017, Evaluation of thermal conductivity of MgO-MWCNTs/EG hybrid nanofluids based on experimental data by selecting optimal artificial neural networks, Physica E, 85, 90, 10.1016/j.physe.2016.08.020 Akhgar, 2019, Developing dissimilar artificial neural networks (ANNs) to prediction the thermal conductivity of MWCNT-TiO2/Water-ethylene glycol hybrid nanofluid, Powder Technol., 355, 602, 10.1016/j.powtec.2019.07.086 Öcal, 2021, A comprehensive and comparative experimental analysis on thermal conductivity of TiO2-CaCO3/Water hybrid nanofluid: Proposing new correlation and artificial neural network optimization, Heat Transfer Res., 52, 55, 10.1615/HeatTransRes.2021039444