换热器不同通道形状的多目标优化

Q4 Chemical Engineering
Saeid Salimi, R. Beigzadeh
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引用次数: 0

摘要

采用计算流体力学(CFD)方法研究了锯齿形、矩形和蛇形通道几何参数对对流换热系数和压降的影响。在所有通道中,考虑相同的边界条件,步数均为10。以液态水为操作流体的湍流为模拟对象,雷诺数(Re)范围为20000 ~ 60000。锯齿形通道的热性能最好,蛇形通道的水力性能最好。采用热工性能(THP)因子对通道进行比较。随着通道表面复杂性的增加,对流换热系数(正因子)和压降(负因子)两个参数同时增大。为此,采用遗传算法(GA)建立摩擦因数与Nusselt数的预测相关性,并进行多目标优化,获得最合适的Nusselt数和最小摩擦因数作为两个基本目标函数。由此产生的帕累托集,其中包括热交换器的最佳几何尺寸,允许设计师根据更高的传热或更低的泵送功率选择几何形状。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-Objective Optimization of Different Channel Shapes in Heat Exchangers
The effect of geometric parameters of the zigzag, rectangular, and serpentine channels on convective heat transfer coefficient and pressure drop was investigated using computational fluid dynamics (CFD). In all channels, the same boundary conditions were considered, and the number of steps was equal to 10. The simulations were performed for turbulent flows (liquid water as the operating fluid), and Reynolds number (Re) range between 20000 and 60000 was selected. The zigzag channel showed a best thermal performance and the serpentine channel showed the best hydraulic performance. The thermal-hydraulic performance (THP) factor was employed for comparing the channels. As the complexity of the channels surfaces increased, the two parameters of convective heat transfer coefficient (positive factor) and pressure drop (negative factor) increased simultaneously. Therefore, predictive correlations for friction factor and Nusselt number were presented using genetic algorithm (GA), and the multi-objective optimization was performed to obtain the most appropriate Nusselt number and minimum friction factor as the two basic objective functions. The resulting Pareto set, which includes the optimum geometric dimensions of the heat exchangers, allows a designer to choice the geometries based on higher heat transfer or lower pumping power.
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来源期刊
CiteScore
1.20
自引率
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审稿时长
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