Turbomachinery Blade Design Using 3-D Inverse Design Method, CFD and Optimization Algorithm

Turbomachinery Blade Design Using 3-D Inverse Design Method, CFD and Optimization Algorithm
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DOI:
10.1115/2001-gt-0358
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发表时间:
2001-06
期刊:
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影响因子:
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通讯作者:
K. Ashihara;A. Goto
K. Ashihara;A. Goto
中科院分区:
其他
文献类型:
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作者:
K. Ashihara;A. Goto

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基于三维逆向设计方法、计算流体力学(CDF)和优化算法,提出了一种改善叶轮机械性能的优化方法。将三维反设计方法与计算流体力学预测相结合,将作为三维反设计方法的主要输入的叶片载荷参数作为设计变量,将计算流体力学预测的叶轮性能作为优化问题的目标函数。首先,为了验证优化算法的效果,采用多种优化算法对比转速为400(m~3/m in,m in−1)和0.155(无量纲)的混流泵叶轮进行了优化。结果表明,采用三维反设计方法进行叶轮机械优化设计是一个多峰问题,采用模拟退火法等探索性技术是必要的。然后,采用模拟退火法对比转速为1350(m~3/m in,m in−1)或0.523(无量纲)的混流泵叶轮(Ns1350)进行了优化设计,以提高叶轮的效率。通过将CFD结果与采用手动优化的先前设计的结果进行比较,证实了合理的高效率和高吸力性能。
An optimization approach for improving turbomachinery performance was proposed based on a three-dimensional inverse design method, a Computational Fluid Dynamics (CDF) and optimization algorithm. By combining the three-dimensional inverse design method and CFD predictions, the blade loading parameters which is the major inputs for the three-dimensional inverse design method were treated as design variables and the impeller performance predicted by CFD was treated as an objective function of the optimization problem.Firstly, to clarify the effects of optimization algorithm, mixed-flow pump impellers (Ns400), with a specific speed of 400 (m3/min,m,min−1) or 0.155 (non-dimensional), were optimized to improve the impeller efficiency by using several optimization algorithm. From these results, it was confirmed that turbomachinery optimization using the three-dimensional inverse design method is a multi-peak problem and it is essential to use exploratory techniques such as Simulated Annealing. Then, a mixed-flow pump impeller (Ns1350), with a specific speed of 1350 (m3/min,m,min−1) or 0.523 (non-dimensional), was optimized to improve the impeller efficiency with constraints for suction performance by Simulated Annealing. Reasonably high efficiency and high suction performance were confirmed by comparing the CFD results with those for the previous design which employed manual optimization.© 2001 ASME