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Heuristic optimality criterion algorithm for shape design of fluid flow

机译:流体形状设计的启发式最优判据算法

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This paper presents a heuristic optimality criterion algorithm for shape design of fluid flow. In this algorithm, the lattice Boltzmann method (LBM) is utilized to calculate the flow field of a fluid domain which is divided into elemental cells. A heuristic optimality criterion is applied for cells at the solid-fluid interface, i.e. the dynamic pressure for fluid cells and the viscous stress on their neighboring solid cells. An automatic program is processed step by step to exchange the positions of solid and fluid cells identified by the optimality criterion, with the objective of decreasing the flow resistance at the constraint of constant fluid volume. To illustrate the procedure of this algorithm for shape design of fluid flow, two simple examples are presented: one with fluid flowing through a right angle elbow and the other through a converging T-junction. Numerical results show that this algorithm can successfully reduce the total pressure drop of the system, demonstrating its potential applications in engineering optimal design.
机译:本文提出了一种启发式最优判据算法,用于流体流动的形状设计。在该算法中,使用格子玻尔兹曼方法(LBM)来计算被划分为基本单元的流体域的流场。启发式最优准则适用于固-液界面处的细胞,即流体细胞的动压和其相邻固体细胞上的粘性应力。逐步处理自动程序以交换由最佳性标准确定的固体和流体单元的位置,目的是在恒定流体体积的约束下减小流阻。为了说明该算法进行流体形状设计的过程,给出了两个简单的示例:一个示例是流体流经直角弯头,另一个示例是通过会聚的T形结。数值结果表明,该算法可以成功降低系统的总压降,证明了其在工程优化设计中的潜在应用。

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