Application of response surface methodology on the nanofluid flow over a rotating disk with autocatalytic chemical reaction and entropy generation optimization

Mehmood, Tahir; Ramzan, Muhammad; Howari, Fares M.; Kadry, Seifedine; Chu, Yu Ming

doi:10.1038/s41598-021-81755-x

Cited by 44 publications

(13 citation statements)

References 49 publications

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“…Related studies are traced in. [68][69][70] Here in the study, an unsteady, thermally radiative magnetized water-based hybrid nanoliquid with graphene and ferrous oxide over a revolving slippery disk is investigated. The nonlinear leading equations after reducing to ordinary differential equations (ODEs) by proper similarity transform; the RK-4 shooting technique is introduced to unravel the system, and the simulation is performed via MPLE-2018 software.…”

Section: Introductionmentioning

confidence: 99%

Entropy generation optimization of unsteady radiative hybrid nanofluid flow over a slippery spinning disk

Acharya¹,

Maity

Kundu

2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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Entropy generation investigation of hybrid nanofluidic transport over an unsteady spinning disk is reported in this analysis. The magnetic influence, velocity slips, and thermal radiative effects are included within the flow. Ferrous oxide (Fe3O4) and graphene oxide (GO) are used as tiny nano ingredients, and water (H2O) is the base medium. The dimensional leading equations are settled to dimensionless nonlinear ordinary differential equations (ODEs) by significant similarity transformations. Then, classical RK-4 scheme with a shooting process has been initiated to execute the numerical simulation. The software MAPLE-18 is used to run the entire simulation with an indispensable accuracy rate. Several streamlines, graphs, and requisite tables are executed to divulge the parametric impact on the nanofluidic stream. Entropy generation–related figures are depicted for diverse parameters, and parametric effects on Bejan number are also analyzed. Moreover, the corresponding physical consignments like the measure of the frictional hindrance, heat transport are calculated and reviewed. The entropy generation augments for higher magnetic value but reduces for velocity slip, radiation, and nanoparticle concentration. Hybrid nanofluid gives a lower magnitude in entropy production as compared to the usual nanofluid. Magnetic parameter reduces the Bejan number, while slip factor and nanoparticle concentration amplify such effects. Heat transfer ultimately seems to increase for nanoparticle volume fraction, and the increase rate is 4.01685 for usual nanofluid, but it is 6.7557 for hybrid nanofluid. Also, the numerical fallouts address the possibility of using magnetized spinning disks in space engines and nuclear propulsion, and such a model conveys significant applications in heat transport improvement in so many industrial thermal management equipment and renewable energy systems.

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Section: Introductionmentioning

confidence: 99%

Entropy generation optimization of unsteady radiative hybrid nanofluid flow over a slippery spinning disk

Acharya¹,

Maity

Kundu

2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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“…Box and Wilson’s Response Surface Methodology (RSM) is a feasible approach in experimental design for proper observation of the mechanism and computing the values of input parameters that optimize the response. Different studies using RSM have been done; a few of them can be seen in 48 – 52 and in their references. Researchers can utilize RSM to help them create a list of experimental designs which can be used to predict response.…”

Section: Introductionmentioning

confidence: 99%

A sensitivity analysis of MHD nanofluid flow across an exponentially stretched surface with non-uniform heat flux by response surface methodology

Hussain

Rasheed

Ali

et al. 2022

Sci Rep

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The current study investigates the MHD flow of nanofluid across an elongating surface while taking into account non-uniform heat flux. For this, we have considered the flow of a boundary layer over a stretched sheet containing (water-based) Al2O3 nanoparticles. The convective boundary conditions for temperature have been invoked. The flow created by a surface that is exponentially expanding in the presence of a magnetic field and a non-uniform heat flux has been mathematically formulated by using laws of conservation. Transformed non-dimensional systems of governing equations have been analyzed numerically by using Adam’s Bashforth predictor corrector approach. The effects of emerging parameters on the fluid velocity and temperature profiles have been further described by plotting graphs. An experimental design and a sensitivity analysis based on Response Surface Methodology (RSM) are used to examine the effects of various physical factors and the dependence of the response factors of interest on the change of the input parameter. To establish the model dependencies of the output response variables, which include the skin friction coefficient and the local Nusselt number, on the independent input parameters, which include the magnetic field parameter, the nanoparticle volume fraction, and the heat transfer Biot number, RSM is used. On the basis of statistical measures such as $$Q - Q$$ Q - Q residual plots, adjusted and hypothesis testing using p values, it is observed that both of our models for Skin Friction Coefficient (SFC) and the Local Nusselt Number (LNN) are best fitted. Further, it is concluded that the sensitivity of the SFC, as well as the LNN through heat transfer Biot number, is greater than that of nanoparticle volume fraction and magnetic field parameter. The SFC is sensitive to all combinations of the input parameters. At high levels of heat transfer Biot number, the LNN displays negative sensitivity via magnetic field parameters.

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“…Most of these studies were focused towards the experimental or numerical investigations on the use of nanofluids for improved performance of stationary pipes with meshes, pipe at different inclinations, and stationary thermosyphons etc., but rotating heat pipes have received very less attention. Apart from this, it is also observed that none of the numerical studies done so far has given any insight about the sensitivity of involved nanofluid and heat pipe parameters on the heat transfer performance of rotating heat pipe like the investigation done by Mehmood et al 38 , where the authors utilized an statistical technique to fit a regression model for identifying the important parameters influencing the flow of a nanofluid over rotating disk. Recently, Li et al 39 presented a comprehensive and comparative review on the numerical and experimental studies of different types of rotating heat pipes.…”

Section: Introductionmentioning

confidence: 99%

Soft computing and statistical approach for sensitivity analysis of heat transfer through the hybrid nanoliquid film in rotating heat pipe

Uddin

Hassan

Harmand

et al. 2022

Sci Rep

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In this paper, the numerical solution for heat transfer through a rotating heat pipe is studied and a sensitivity analysis is presented by using statistical experimental design technique. Graphene oxide-molybdenum disulfide (GO-MoS2) hybrid nanofluid is taken as working fluid inside the pipe. The impact of the heat pipe parameters (rotation speed, initial mass, temperature difference) on the heat transfer and liquid film thickness is investigated. The mathematical model coupling the fluid mass flow rate and liquid film evolution equations in evaporator, adiabatic, and condenser zones of the heat pipe is constructed. The mathematical model is solved by implementation of “Particle Swarm Optimization” along with the finite difference method. The outcomes demonstrate that hybrid nanoparticles help to improve the heat transfer through the heat pipe and reduce liquid film thickness. The heat transfer rises with increasing temperature difference and reducing inlet mass, and it reduces slightly with rising rotation speed. The difference in liquid film thickness between the evaporator and condenser zones increases with increasing temperature difference and decreasing rotation speed. The impact of increasing the volume fraction of GO on the liquid film thickness is higher than that in the case of the MoS2 nanoparticles. However, an increase of the heat transfer is noticed in case of increasing the volume fraction of GO relative to increasing MoS2 concentration. Statistical analysis of the computed numerical data and the identification of significant parameters for total heat transfer are found using the response surface method. At 95% level of significance, the GO concentration in the hybrid nanofluid, inlet mass of the hybrid nanofluid and the temperature difference inside the evaporator zone of the pipe are found to be significant linear parameters for increasing heat transfer.

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Application of response surface methodology on the nanofluid flow over a rotating disk with autocatalytic chemical reaction and entropy generation optimization

Cited by 44 publications

References 49 publications

Entropy generation optimization of unsteady radiative hybrid nanofluid flow over a slippery spinning disk

Entropy generation optimization of unsteady radiative hybrid nanofluid flow over a slippery spinning disk

A sensitivity analysis of MHD nanofluid flow across an exponentially stretched surface with non-uniform heat flux by response surface methodology

Soft computing and statistical approach for sensitivity analysis of heat transfer through the hybrid nanoliquid film in rotating heat pipe

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