| Issue |
E3S Web Conf.
Volume 140, 2019
International Scientific Conference on Energy, Environmental and Construction Engineering (EECE-2019)
|
|
|---|---|---|
| Article Number | 05003 | |
| Number of page(s) | 11 | |
| Section | Engineering Nets and Equipment | |
| DOI | https://doi.org/10.1051/e3sconf/201914005003 | |
| Published online | 18 December 2019 | |
Simulation of gas-dynamic characteristics of a centrifugal compressor vane diffuser using neural networks
1
Smolensk state agricultural academy, Bolshaja Sovetskaja 10/2, Smolensk, 214000 Russia
2
Peter the Great St. Petersburg Polytechnic University, Polytechnicheskaya 29, Saint Petersburg, 195251 Russia
3
Lodz University of Technology, Institute of Turbomachinery Wolczanska 219/223 Lodz, Poland 90-924
* Corresponding author: eugene@lamm.spbstu.ru
The paper presents the results of mathematical simulation of the characteristics of a vane diffuser of a centrifugal compressor intermediate stage, such as the loss coefficient and the deviation angle versus the outlet vane angle of the diffuser. The simulation of these characteristics was made on the basis of processing the results of studies performed by the Research Laboratory “Gas Dynamics of Turbomachines” of Peter the Great St.Petersburg Polytechnic University at the model characteristics of vane diffusers. Given the almost complete absence of recommendations in the literature, the paper describes the technology for constructing neural network models, which includes preparing a sample of input data and determining the optimal structure of the neural network. Based on the obtained mathematical models, a computational experiment was carried out in order to determine the influence of the main geometric and gas-dynamic parameters on the efficiency of vane diffusers. The results of the computational experiment on neural models of the efficiency of a vane diffuser are analyzed according to the existing ideas about the physics of the processes of energy conversion in a vane diffuser.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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