Purpose

The purpose of this paper is to investigate natural convection in a porous wavy-walled enclosure that is including a cylinder cavity in the middle of it and filled with a hybrid nanofluid contains 1-Butanol as the base fluid and MoS₂–Fe₃O₄ hybrid nanoparticles.

Design/methodology/approach

The domain of interest is bounded by constant temperature horizontal corrugated surfaces and isothermal vertical flat surfaces. The numerical outputs are explained in the type of isotherms, streamline and average Nusselt number with variations of the Rayleigh number, Hartmann number, nanoparticle shape factor and porosity of the porous medium. For solving the governing equations, the finite element method has been used.

Findings

The results show that Nuave is proportional to Rayleigh and nanoparticle shape factor directly as well as it has an inverse relation with Hartmann and porosity. The obtained results reveal that the shape factor parameter has a significant effect on the heat transfer performance, which shows a 55.44% contribution on the average Nusselt number.

Originality/value

As a novelty, to maximize the heat transfer performance in a corrugated walls enclosure, the optimal parameters have intended by using the response surface and Taguchi methods. Additionally, an accurate correlation for the average Nusselt number is developed with sensibly great precision.

中文翻译：

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通过波状多孔腔的传热杂化纳米流体（1-丁醇/ MoS2-Fe3O4）及其优化

目的

本文的目的是研究在波浪形多孔壁罩中的自然对流，该壁体在其中间包括一个圆柱腔，并填充有以1-丁醇为基础流体和MoS ₂ -Fe ₃ O ₄的混合纳米流体。杂化纳米粒子。

设计/方法/方法

感兴趣的领域由恒温水平波纹表面和等温垂直平坦表面界定。数值输出以等温线的类型，流线和平均Nusselt数进行解释，其中包括Rayleigh数，Hartmann数，纳米颗粒形状因子和多孔介质的孔隙率的变化。为了求解控制方程，已使用了有限元方法。

发现

结果表明，Nuave与瑞利和纳米颗粒形状因子成正比，并且与Hartmann和孔隙率成反比。所得结果表明，形状因数参数对传热性能有显着影响，显示出平均努塞尔数贡献率为55.44％。

创意/价值

作为一种新颖性，为了使波纹壁围墙中的传热性能最大化，通过使用响应面和田口方法可以达到最佳参数。此外，还可以合理地提高平均努塞尔数的精确相关性。