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Investigation of Horizontal Micro Kaplan Hydro Turbine Performance Using Multi-Disciplinary Design Optimization

机译:基于多学科设计优化的水平微型卡普兰水轮机性能研究

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摘要

This study investigates performance-based design optimization for a Kaplan hydro turbine at a maximum water head of 2.6 m (8.5 ft), a micro-sized horizontal Kaplan turbine with 7.6 cm (3.0 in) diameter that has fixed blades featured to attain the optimum performance for such type and size of hydro turbines. The optimization process includes solving design problems and enhance design development by applying a multi-disciplinary design optimization (MDO) technique. Varying the geometrical parameters of the turbine, i.e., dimensions, number of blades, blade wrap angles, and different rotational speeds (500-3000 rpm), are the relevant proposed disciplines of this study. Two multi-simulation matrices were solved by using the high-performance computing (HPC) cluster of the University of Wisconsin-Milwaukee. The first matrix includes different number of the blades (3, 4, 5, 6, and 7 blades) over six different rotational speeds (500, 1000, 1500, 2000, 2500, and 3000 rpm), while the second matrix includes 121 possible combinations of blade wrap angles starting at 60-60 deg (hub-shroud) angle to 110-110 deg angle with 5 deg increment alternated at both sides, the hub and the shroud.
机译:这项研究调查了最大水头高度为2.6 m(8.5 ft)的Kaplan水轮机,基于直径7.6 cm(3.0 in)的微型卧式Kaplan水轮机的基于性能的设计优化,该叶片具有固定叶片以实现最佳性能。此类水轮机的性能。优化过程包括通过应用多学科设计优化(MDO)技术来解决设计问题并增强设计开发。改变涡轮的几何参数,即尺寸,叶片数量,叶片包角和不同的转速(500-3000 rpm),是本研究的相关提议学科。通过使用威斯康星州密尔沃基大学的高性能计算(HPC)集群,解决了两个多重仿真矩阵。第一矩阵包括六个不同转速(500、1000、1500、2000、2500和3000 rpm)上不同数量的叶片(3、4、5、6和7个叶片),而第二矩阵包括121个可能的叶片叶片包角的组合从60-60度(轮毂罩)角开始到110-110度角,以5度增量在两侧(轮毂和罩壳)交替变化。

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