Optimal compensation method for centrifugal impeller considering aerodynamic performance and dimensional accuracy

IF 6.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

alexandria engineering journal Pub Date : 2024-11-16 DOI:10.1016/j.aej.2024.11.055

Tao Zhou , Sitong Xiang , Hainan Zhang , Jianguo Yang

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引用次数: 0

Abstract

Impellers are crucial components in centrifugal compressors, and their precision and performance determine the compressor’s work efficiency. The traditional impeller error compensation method only compensates for dimensional errors without considering aerodynamic performance, which leads to a performance loss after compensation. This study proposes a novel optimal compensation method for centrifugal impellers that comprehensively considers the aerodynamic performance and dimensional accuracy. First, a nonlinear mapping relationship between the key geometric parameters of the blade and the aerodynamic performance was established. Then, using on-machine measurement data, the impeller machining error was calculated, and a mirror compensation surface was generated. Finally, based on the mapping model, the second-generation non-dominated sorting genetic algorithm was used to optimize the control points of the mirror compensation surface, and thereby obtain the optimal compensation surface. The experimental results showed that, after optimal compensation, the impeller dimensional error was reduced by 90.17 %, the total pressure ratio increased by 2.89 %, and the isentropic efficiency increased by 7.29 %. Compared to the traditional mirror compensation method, the dimensional accuracy, total pressure ratio, and isentropic efficiency were improved by 28.57 %, 1.56 %, and 4.24 %, respectively. Therefore, this compensation method can simultaneously improve the dimensional accuracy and aerodynamic performance of impellers.

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考虑空气动力性能和尺寸精度的离心叶轮最佳补偿方法

叶轮是离心式压缩机的关键部件，其精度和性能决定了压缩机的工作效率。传统的叶轮误差补偿方法只对尺寸误差进行补偿，不考虑空气动力学性能，导致补偿后的性能损失。本研究提出了一种综合考虑空气动力性能和尺寸精度的新型离心叶轮优化补偿方法。首先，建立了叶片关键几何参数与气动性能之间的非线性映射关系。然后，利用在机测量数据计算叶轮加工误差，并生成镜面补偿面。最后，基于映射模型，采用第二代非支配排序遗传算法对镜面补偿面的控制点进行优化，从而得到最优补偿面。实验结果表明，优化补偿后，叶轮尺寸误差减少了 90.17%，总压比增加了 2.89%，等熵效率提高了 7.29%。与传统的镜面补偿方法相比，尺寸精度、总压比和等熵效率分别提高了 28.57 %、1.56 % 和 4.24 %。因此，这种补偿方法可以同时提高叶轮的尺寸精度和空气动力性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

alexandria engineering journal Engineering-General Engineering

CiteScore

11.20

自引率

4.40%

发文量

1015

审稿时长

43 days

期刊介绍： Alexandria Engineering Journal is an international journal devoted to publishing high quality papers in the field of engineering and applied science. Alexandria Engineering Journal is cited in the Engineering Information Services (EIS) and the Chemical Abstracts (CA). The papers published in Alexandria Engineering Journal are grouped into five sections, according to the following classification: • Mechanical, Production, Marine and Textile Engineering • Electrical Engineering, Computer Science and Nuclear Engineering • Civil and Architecture Engineering • Chemical Engineering and Applied Sciences • Environmental Engineering