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Geometric parameterization and multiobjective shape optimization of convective periodic channels

机译:对流周期通道的几何参数化和多目标形状优化

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In this article we describe a general procedure for the geometric parameterization and multiobjective shape optimization of periodic wavy channels, representative of the repeating module of an ample variety of heat exchangers. The two objectives considered are the maximization of heat transfer rate and the minimization of friction factor. Since there is no single optimum to be found, we use a multiobjective genetic algorithm and the so-called Pareto dominance concept. The optimization of the two-dimensional periodic channel is obtained, by means of an unstructured finite-element solver, for a fluid of Prandtl number Pr = 0.7, assuming fully developed velocity and temperature fields, and steady laminar conditions. The geometry of the channel is parameterized either by means of simple linear-piecewise profiles, or by nonuniform rational B-splines, and in the latter case their control points represent the design variables. The results obtained are very encouraging, and the procedure described can be applied, in principle, to even more complex problems.
机译:在本文中,我们描述了周期性波浪通道的几何参数化和多目标形状优化的通用程序,该程序代表了多种热交换器的重复模块。考虑的两个目标是传热速率的最大化和摩擦系数的最小化。由于找不到单个最佳值,因此我们使用多目标遗传算法和所谓的帕累托优势概念。假设非充分有限的速度和温度场以及稳定的层流条件,则通过非结构化有限元求解器,对于普朗特数Pr = 0.7的流体,可以获得二维周期性通道的优化。可以通过简单的线性分段轮廓或非均匀有理B样条参数化通道的几何形状,在后一种情况下,它们的控制点代表设计变量。获得的结果令人鼓舞,并且所描述的过程原则上可以应用于甚至更复杂的问题。

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