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采用响应面法优化含有混合杂化纳米流体(水/乙二醇 Go-AlO)的波浪形梯形多孔腔。

Optimization of wavy trapezoidal porous cavity containing mixture hybrid nanofluid (water/ethylene glycol Go-AlO) by response surface method.

机构信息

Faculty of Engineering Modern Technologies, Amol University of Special Modern Technologies (AUSMT), Amol, Iran.

Department of Mechanical Engineering, Babol Noshirvani University of Technology, Babol, Iran.

出版信息

Sci Rep. 2023 Jan 30;13(1):1635. doi: 10.1038/s41598-023-28916-2.

Abstract

Increasing thermal performance and preventing heat loss are very important in energy conversion systems, especially for new and complex products that exacerbate this need. Therefore, to solve this challenge, a trapezoidal cavity with a wavy top wall containing water/ethylene glycol GO-AlO nanofluid is simulated using Galerkin finite element method. The effects of physical parameters affecting thermal performance and fluid flow, including porosity (ℇ), thermal radiation (Rd), magnetic field angle (α), Rayleigh number (Ra) and Hartmann number (Ha), are investigated in the determined ratios. The results of applied boundary conditions showed that the optimal values for Ra, Ha, ℇ, Rd and α are 1214.46, 2.86, 0.63, 0.24 and 59.35, respectively. Considering that changes in radiation have little effect on streamlines and isothermal lines. Optimization by RSM and Taguchi integration resulted in optimal Nu detection. It provided a correlation for the average Nu based on the investigated determinants due to the conflicting influence of the study factors, which finally calculated the highest average Nusselt number of 3.07. Therefore, the ideal design, which is the primary goal of this research, increases the thermal performance.

摘要

在能量转换系统中,提高热性能和防止热量损失非常重要,特别是对于新的和复杂的产品,这加剧了这种需求。因此,为了解决这一挑战,使用 Galerkin 有限元方法模拟了具有波浪形顶壁的梯形腔,其中包含水/乙二醇 GO-AlO 纳米流体。研究了影响热性能和流体流动的物理参数,包括孔隙率(ℇ)、热辐射(Rd)、磁场角(α)、瑞利数(Ra)和哈特曼数(Ha),并在确定的比例下进行了研究。施加边界条件的结果表明,Ra、Ha、ℇ、Rd 和 α 的最佳值分别为 1214.46、2.86、0.63、0.24 和 59.35。考虑到辐射的变化对流线和等温线的影响很小。通过 RSM 和 Taguchi 集成进行优化,检测到最佳 Nu 值。由于研究因素的相互影响,它为基于调查因素的平均 Nu 提供了相关性,最终计算出的最高平均努塞尔数为 3.07。因此,提高热性能是理想的设计,这也是本研究的主要目标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bfe8/9886970/0a8389b3ec54/41598_2023_28916_Fig1_HTML.jpg

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