Heat transfer optimization of nonlinear mixed convection flow of nanoliquid past a vertical rotating cone with Stefan blowing using response surface method

Rana, Puneet; Gupta, Gaurav

doi:10.1080/17455030.2023.2195505

Cited by 3 publications

(1 citation statement)

References 59 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ghasemi et al [20] investigated the solar radiation impact in MHD nanofluids over stretching surface. In addition to the study of magneto-hydrodynamics [21][22][23] in boundary layer analysis utilizing nanoparticles, different conditions and physical domains problems such as stretching/shrinking models [24][25][26][27][28][29][30], rotating frame of reference problems [31][32][33][34][35], local thermal nonequilibrium assumption-based problems [31], slip flow problems [22,25], wedge problems [23,36], bioconvection analyses [37], entropy generation analyses [38] have also been explored extensively in the last decade.…”

Section: Introductionmentioning

confidence: 99%

Multiple solutions and stability analysis in MHD non‐Newtonian nanofluid slip flow with convective and passive boundary condition: Heat transfer optimization using RSM‐CCD

Rana,

Sharma,

Kumar

et al. 2023

Z Angew Math Mech

Self Cite

View full text Add to dashboard Cite

This study explores the effect of Williamson nanofluid in the presence of radiation and chemical reaction caused by stretching or shrinking a surface with convective boundary conditions. After implementing two‐component model and Lie group theory, the transformed ODEs are solved using the Runge–Kutta Dormand–Prince (RKDP) shooting approach technique. The dual solutions are predicted for certain range of physical nanofluid parameters, such as Williamson parameter (), stretching/shrinking parameter (), and suction parameter () with different slip and magnetic M parameters. Contour plots are generated for the stable branch of the Nusselt number () for different combinations, providing insights into the heat transfer characteristics. The eigenvalue problem is solved in order to predict flow stability. The optimization of heat transfer in nanoliquid is conducted by RSM‐CCD. The resulting quadratic correlation enables the prediction of the optimal Nusselt number for , , and . This investigation is motivated by various applications including manufacturing processes, thermal management systems, energy conversion devices, and other engineering systems where efficient heat transfer is crucial.

show abstract