Regression Equations for Estimating Axial Compressor Flow Path Dimensions at the First Design Steps

The article presents the results of a study aimed at obtaining dependencies (formulas) that can be used at the first steps of design of axial compressors of gas turbine engines to estimate their axial dimensions. The currently available recommendations are of a general nature and their application allows obtaining results that differ from each other under different interpretations by more than 30%. The authors have collected statistics on more than 20 modern gas turbine engines and on the basis of its regression analysis have obtained a package of dependencies that will allow obtaining a flow path shape approximating to the final one at the first steps of design. The obtained formulas are based on a larger number of initial data than existing today. Using the obtained formulas will require less refinement in the next steps, which will reduce the iteration number during the design and save time and costs.

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Published
2024-10-18
DOI
https://doi.org/10.1109/meae62008.2024.11026559
Primary Topic
Probabilistic and Robust Engineering Design
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article
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article

Regression Equations for Estimating Axial Compressor Flow Path Dimensions at the First Design Steps

Vasilii Zubanov, Evgenii Goriachkin, Oleg Baturin, E D Gataullina
Probabilistic and Robust Engineering Design
article

Regression Equations for Estimating Axial Compressor Flow Path Dimensions at the First Design Steps

Vasilii Zubanov, Evgenii Goriachkin, Oleg Baturin, E D Gataullina
article en

Abstract

The article presents the results of a study aimed at obtaining dependencies (formulas) that can be used at the first steps of design of axial compressors of gas turbine engines to estimate their axial dimensions. The currently available recommendations are of a general nature and their application allows obtaining results that differ from each other under different interpretations by more than 30%. The authors have collected statistics on more than 20 modern gas turbine engines and on the basis of its regression analysis have obtained a package of dependencies that will allow obtaining a flow path shape approximating to the final one at the first steps of design. The obtained formulas are based on a larger number of initial data than existing today. Using the obtained formulas will require less refinement in the next steps, which will reduce the iteration number during the design and save time and costs.

Samara National Research University (RU)
Openalex Percentile: Top 72%
Probabilistic and Robust Engineering Design
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Regression Equations for Estimating Axial Compressor Flow Path Dimensions at the First Design Steps — Vasilii Zubanov, Evgenii Goriachkin, et al. · (2024) | TGRS Research Map | TGRS