提高吸力性能的诱导体优化设计

Yushi Nakamura, Marek Lubieniecki, K. Hayashi, Y. Kawata, Masahiro Miyabe, Claudio Lettieri
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引用次数: 2

摘要

本文的目的是提出一种改善诱导叶片吸入性能的优化方法,并阐明泵性能与设计参数之间的关系。为了进行优化过程,建立了基于响应面的优化框架。既往研究设计了基线[1]。采用ABS塑料对诱导体进行了3d打印,并对诱导体的湿化和空化特性进行了测试。结果表明,优化后的诱导剂在较低的空化数下仍能保持其润湿性能。响应面是一个数学模型,它从设计空间中有限数量的学习点近似地表示输入参数和目标函数之间的关系。设计空间由四个参数定义:掠角、掠半径、入射角和控制叶片形状的叶尖固体度。通过在商用求解器中建立的CFD模拟来评估每种设计的性能。优化目标是最小化临界空化数,即由于空化导致的泵内压力下降5%。优化的出发点是日本Teral公司设计的工业泵[1]。数值优化结果表明,与基线设计相比,临界空化数减少了17.6%。在实验结果中,平均提高了15.4%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Inducer Design Optimization to Improve its Suction Performance
The purpose of this paper is to present optimization method of an inducer blade shape to improve its suction performance and clarify the relationship between pump performance and design parameters. In order to conduct the optimization process a response surface based optimization framework was established. Baseline was designed in previous research [1]. The inducers were 3Dprinted in ABS plastic and their wetted and cavitating characteristics were measured. It was confirmed that the optimized inducer can maintain its wetted performance at lower cavitation numbers. A response surface is a mathematical model that approximates the relationship between the input parameters and the objective function from a finite number of learning points within the design space. The design space was defined by four parameters: sweep angle, sweep radius, incidence angle and blade solidity at the tip that controlled the blade shape. The performance of each design was evaluated with a CFD simulation established in a commercial solver. The optimization goal was to minimize the critical cavitation number that corresponds to a 5% drop of pressure increase through the pump due to cavitation. A starting point of the optimization was the industrial pump designed by a Japanese company Teral [1]. The results of the numerical optimization show that the critical cavitation number was decreased by 17.6% with respect to the baseline design. In the experimental results, an average improvement of 15.4% was achieved.
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