Gyrotactic Motile Microorganisms Impact on Pseudoplastic Nanofluid Flow over a Moving Riga Surface with Exponential Heat Flux
Gyrotactic Motile Microorganisms Impact on Pseudoplastic Nanofluid Flow over a Moving Riga Surface with Exponential Heat Flux
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DOI：
10.3390/cryst12091308
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发表时间：
2022-09-01
期刊：
影响因子：
2.7
通讯作者：
Galal, Ahmed M.
中科院分区：
文献类型：
--
作者：
Waqas, Hassan;Oreijah, Mowffaq;Galal, Ahmed M.
背景资料：纳米流体的导热性的改善对于不同的过程是实用的，例如药物输送、晶体制造、聚合物加工、食品和饮料、癌症治疗、石油和天然气、造纸等等。生物对流现象因其在生物技术、机械和电气工程中的广泛应用而引起了众多研究者的关注。生物对流纳米流体在生物医学、制药、纳米药物输送、生物医学、汽车冷却和军事领域中更为突出。目的：目前工作的主要目的是确定一种新型的热辐射和指数空间热源的生物对流的假塑性三维纳米流体过去的双向拉伸里加表面的数值和统计分析。还公开了Arkenius激活能（AAE）和热辐射的行为。方法学：通过适当的相似变换，将流动模拟现象的偏微分方程转化为常微分方程的结构。利用MATLAB软件中的bvp4c打靶算法求解新的常微分方程组的数值解。此外，通过应用响应曲面法（RSM）进行统计分析。研究意义：数值分析是有效的不可压缩的三维，磁化流的假塑性生物对流纳米流体通过一个双向表面与里加板方面的活化能的发生。社会影响：三维流动在各个领域都有重要的应用，例如，聚合物生产、材料生产技术、纳米生物聚合物的制造、计算机图形学、工业、动力工程、飞机构型等。目前的分析更适用于纳米技术。结果：研究了流动控制参数对流动剖面的影响，并在图形结构下得到了解释。数值结果进行了计算和详细讨论。从结果中可以看出，通过较大的混合对流参数，速度场增加。通过热毕奥数提高了温度分布。纳米颗粒的浓度通过更大的刘易斯数而下降。此外，运动微生物场通过Peclet数减少。创意：到目前为止，还没有调查已被确认，以检查生物对流流动的后果的三维假塑性纳米流体过去的里加板含有能动微生物利用拍摄方法称为bvp4c。结论：从结果可以得出结论，纳米流体更有助于传热增量。此外，根据观察到的实验设计，响应通过热泳参数下降，这在ANOVA观察模型中具有显著性。
Background: The improvement of the thermal conductivity of nanofluids is practical for different processes such as drug delivery, manufacturing of crystals, polymer processing, food and drink, cancer treatment, oil and gas, paper making and for many more. The bioconvection phenomenon has engrossed the attention of numerous researchers for its many applications in biotechnology, mechanical and electrical engineering. Bioconvection nanofluids are more prominent in the fields of biomedicine, pharmacy, nanodrug delivery, biomedical, automotive cooling and the military. Purpose: The major purpose of the current work was to determine the numerical and statistical analysis of a novel thermal radiation and exponential space-based heat source on the bioconvective flow of a pseudoplastic 3D nanofluid past a bidirectional stretched Riga surface. The behavior of the Arrhenius activation energy (AAE) and thermal radiation are also disclosed. Methodology: Suitable similarity transformations were used to transmute the partial differential equations of the flow-modeled phenomena into the structure of ordinary differential ones. The numerical solutions for the renewed set of ODEs were tackled by the bvp4c shooting algorithm built-in MATLAB software. Furthermore, the statistical analysis was computed by applying response surface methodology (RSM). Research implications: The numerical analysis is valid for the incompressible three-dimensional, magnetized flow of a pseudoplastic bioconvection nanofluid through a bidirectional surface with Riga plate aspects in the occurrence of activation energy. Social implications: The flow across three dimensions has quite important implementations in various fields, for example, polymer production, material production technology, the manufacturing of nano-biopolymer computer graphics, industry, powered engineering, aeroplane configurations, etc. The current analysis is more applicable in nanotechnology. Results: The consequences of flow control parameters over flow profiles were studied and explained under the graphic structures. Numerical outcomes were computed and discussed in detail. From the results, it was noted that the velocity field was increased via a larger mixed convection parameter. The temperature distribution was boosted via the thermal Biot number. The concentration of nanoparticles declined via the greater Lewis number. Furthermore, the motile microorganisms field was reduced via the Peclet number. Originality: Until now, no investigation has been recognized to examine the consequences of the bioconvection flow of three-dimensional pseudoplastic nanofluids past a Riga plate containing motile microorganisms utilizing the shooting method called bvp4c. Conclusions: From the results, it was concluded that nanofluids are more helpful for heat transfer increments. Furthermore, from the experimental design observed, the response declined via the thermophoresis parameter, which was significant from the ANOVA observed model.