Mathematical Model of the Universal Modeling Method Version 9 for the Calculation and Design of Centrifugal Compressors: Identification and Verification from Experimental Data

Abstract

Identification and verification of a new version of mathematical model for universal modeling method for calculation of centrifugal compressors gas dynamic characteristics are carried out. To identify the loss model, the results of 70 tests of 20SE family model stages at LPI-SPbPU Compressor Engineering Problem Laboratory were used. A total of 420 efficiency values were compared. At the first stage, identification was carried out only for stages without a vane diffuser; the average error of efficiency calculation was 0.513 %, and, on the whole, for the characteristic is 1 %. When identifying vane diffuser stages, the search objects were coefficients influencing losses in the vane diffuser only, the average error of efficiency calculation was 0.525 %, for the whole characteristic is 1.12 %. To verify the empirical coefficients affecting losses in the axial separation impeller, test results of TKR-175E and TKR-140E compressors for turbocharger units were used. In the IDENT database we gave characteristics of TKR-140E compressor at conditional Mach numbers 0.437, 0.5836, 0.728, 0.8739; average error of efficiency calculation was 0.889 %, for the whole characteristic is 1.55 %. To verify the mathematical model, the results of the tests of Clark (USA) low-flow model stages were used. Ten tests of low-flow stages were considered; the average error of efficiency calculation was 1.08 %, for the whole characteristic is 1.31 %

This study was supported by the grant of the President of the Russian Federation for young candidates of sciences МK-1893.2020.8

Please cite this article in English as:

Galerkin Yu.B., Drozdov A.A., Rekstin A.F., et al. Mathematical model of the universal modeling method version 9 for the calculation and design of centrifugal compressors: identification and verification from experimental data. Herald of the Bauman Moscow State Technical University, Series Mechanical Engineering, 2022, no. 1 (140), pp. 82--102 (in Russ.). DOI: https://doi.org/10.18698/0236-3941-2022-1-82-102

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