Khan Muhammad Riaz, Alqahtani Aisha M, Alhazmi Sharifah E, Elkotb Mohamed Abdelghany, Sidi Maawiya Ould, Alrihieli Haifaa F, Tag-Eldin Elsayed, Yassen Mansour F
Department of Mathematics, Quaid-i-Azam University, Islamabad 44000, Pakistan.
Department of Mathematical Sciences, College of Science, Princess Nourah bint Abdulrahman University, Riyadh 11671, Saudi Arabia.
Micromachines (Basel). 2022 Dec 25;14(1):48. doi: 10.3390/mi14010048.
The present computational model is built to analyze the energy and mass transition rate through a copper and cobalt ferrite water-based hybrid nanofluid (hnf) flow caused by the fluctuating wavy spinning disk. Cobalt ferrite (CoFeO) and copper (Cu) nanoparticles (nps) are incredibly renowned in engineering and technological research due to their vast potential applications in nano/microscale structures, devices, materials, and systems related to micro- and nanotechnology. The flow mechanism has been formulated in the form of a nonlinear set of PDEs. That set of PDEs has been further reduced to the system of ODEs through resemblance replacements and computationally solved through the parametric continuation method. The outcomes are verified with the Matlab program bvp4c, for accuracy purposes. The statistical outputs and graphical evaluation of physical factors versus velocity, energy, and mass outlines are given through tables and figures. The configuration of a circulating disk affects the energy transformation and velocity distribution desirably. In comparison to a uniform interface, the uneven spinning surface augments energy communication by up to 15%. The addition of nanostructured materials (cobalt ferrite and copper) dramatically improves the solvent physiochemical characteristics. Furthermore, the upward and downward oscillation of the rotating disc also enhances the velocity and energy distribution.
当前的计算模型旨在分析由波动的波浪形旋转盘引起的铜钴铁氧体水基混合纳米流体(hnf)流动中的能量和质量转移率。钴铁氧体(CoFeO)和铜(Cu)纳米颗粒(nps)在工程和技术研究中因其在与微纳技术相关的纳米/微观结构、器件、材料和系统中的巨大潜在应用而备受瞩目。流动机制已被表述为一组非线性偏微分方程(PDEs)。通过相似替换,该组PDEs进一步简化为常微分方程(ODEs)系统,并通过参数连续法进行数值求解。为确保准确性,结果通过Matlab程序bvp4c进行了验证。通过表格和图表给出了物理因素与速度、能量和质量轮廓的统计输出及图形评估。循环盘的结构对能量转换和速度分布有理想的影响。与均匀界面相比,不均匀的旋转表面可使能量传递提高多达15%。添加纳米结构材料(钴铁氧体和铜)显著改善了溶剂的物理化学特性。此外,旋转盘的上下振荡也增强了速度和能量分布。