Development of the compressor impeller configuration algorithm

Author:

Yu Pechenina Ekaterina,Pechenin Vadim A,Bolotov Michael A

Abstract

Abstract The article addresses the improvement of compressor impeller configuration methods. One of the key parameters of compressor blade assembly quality is the uniform tension in the blade shroud joint. The authors have developed an algorithm for arranging the blades in the compressor impeller, which allows reducing the tension and ensures its uniform distribution. The algorithm kernel is based on a mathematical model developed for calculating shroud tension areas on the suction side and pressure side based on controlled deviations of the airfoil and shroud. The computed areas are used to sort the blades by the increasing tension area on the suction side and the decreasing one on the pressure side. At the final stage, the blades are arranged by their successive choice from among two rows and each next blade from the rows is installed in the casing, next to the pre-installed blades, with the change in the bypass direction. The algorithm is written in Python; 1,000 computing experiments were made to simulate the deviation of the parameters for 84 blades in the set. The algorithm function was compared to the arbitrary arrangement of the blades. As a result, the root-mean-square deviation of the originating tensions decreased from 0.54 mm2 to 132 mm2.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference16 articles.

1. Improving the manufacture of high-precision machines by assembly modifications;Nepomiluev;Russian Engineering Research,2019

2. A new type haptics-based virtual environment system for assembly training of complex products;Xia;Int J Adv Manuf Technol,2012

3. The basics of designing aircraft engines and power plants;Inozemcev;Mashinostroenie,2008

4. Research of blades selection algorithms for assembling of gas turbine engine nozzle diaphragm;Osipovich;Sborka v mashinostroenii, priborostroenii,2018

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3