Prediction Method for Low Speed Characteristics of Compressor Based on Modified Similarity Theory With Genetic Algorithm | Zendy

Zhitao Wang | Zendy; Jian Li | Zendy; Kuo Fan | Zendy; Wenqi Ma | Zendy; Haoda Lei | Zendy

Open Access

Prediction Method for Low Speed Characteristics of Compressor Based on Modified Similarity Theory With Genetic Algorithm

Author(s) -

Zhitao Wang,

Jian Li,

Kuo Fan,

Wenqi Ma,

Haoda Lei

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2018.2846049

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

This paper develops a new method for the calculation of low speed characteristic of compressor. Considering of the compressibility of the air, the low speed index of pump machinery similarity theory is improved. A new index calculation method is proposed, and the correction factor is added in the modified theoretical formula to increase the calculation accuracy of the compressor characteristics. Genetic algorithm is adopted to realize the optimization of the calculation to obtain the best value of the correction factor. It does not need to consider the structure and thermodynamic parameters of the compressor, and calculates the low speed characteristics of the compressor based on the existing characteristic curves. The calculation results show that the characteristic curves solved by the method are reasonable in changing trends.

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