Multi-Objective Design Optimization for a Steam Turbine Stator Blade Using LES and GA
Multi-Objective Design Optimization for a Steam Turbine Stator Blade Using LES and GA
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DOI：
10.1299/jcst.5.134
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
K. Shimoyama;Shu Yoshimizu;Shinkyu Jeong;S. Obayashi;Y. Yokono
中科院分区：
文献类型：
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作者：
K. Shimoyama;Shu Yoshimizu;Shinkyu Jeong;S. Obayashi;Y. Yokono
采用三维大涡模拟（LES）和遗传算法（GA）对某涡轮机静叶进行了多目标优化设计。这里使用的遗传算法是由克里格响应面模型的全局和有效的优化。这里描述的优化的目的是同时减少由于端壁引起的总压力损失和局部压力损失。优化结果表明，叶片设计候选方案在总损失和局部损失方面均优于基准设计方案，并且两者之间存在着折衷关系。此外，这些结果提供了一个特定的设计概念和相应的流动机制，以实现高效率的定子叶片。
Multi-objective design optimization for a steam turbine stator blade was implemented using three-dimensional large eddy simulation (LES) and a genetic algorithm (GA). The GA used here was assisted by the Kriging response surface model for global and efficient optimization. The aim of the optimization described here was to reduce overall pressure loss and local pressure loss due to end walls simultaneously. The optimization results revealed the blade design candidates that overcame the baseline design in terms of overall loss and local loss, and the trade-off relation between them. In addition, these results provided a specific design concept and corresponding flow mechanism to realize a highly efficient stator blade.