A simplified method for the deposition rate assessment on the vanes of a multistage axial-flow compressor

Author:

Vulpio Alessandro1,Suman Alessio2,Casari Nicola3,Pinelli Michele4

Affiliation:

1. Saragat, 1 Corpo A - Dip. Ingegneria Ferrara, 44122 Italy

2. via Saragat 1 Ferrara, -- OTHER -- 44122 Italy

3. via Saragat 1 Ferrara, 44121 Italy

4. via Saragat 1 Via Saragat, 1 Ferrara, 40122 Italy

Abstract

Abstract Gas turbine particle ingestion may lead to the deposition of contaminants in the compressor section, inducing the performance losses of the whole engine. The economic losses derived from this issue push great interest in the investigation of such a phenomenon from a numerical and experimental standpoint. This paper describes a quantitative approach to predict particle deposition on the vanes of an axial compressor starting from the flow field obtained employing CFD simulations. The results are then compared to the experiments performed on the Allison 250 C18 compressor unit subject to particle ingestion under controlled conditions. The results derived from the experimental and numerical investigations are presented, providing insight into the mass deposited on the vanes and the corresponding zones most affected by the particle deposition issue. The numerical model showed good agreement in the estimation of the predicted values of the deposited mass and the corresponding patterns through the compressor stages. The low-complexity approach proposed here, helps the designer to predict the contamination of the stationary rows starting from a simple set of single-phase numerical results. Furthermore, with the implementation of this approach into the design path, the designer could reduce the impact of fouling, looking at the effects of their solutions under the fouling-reduction light.

Publisher

ASME International

Subject

Mechanical Engineering

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Non-contact measurement techniques to study the microsized particle adhesion phenomenon;Journal of Physics: Conference Series;2023-09-01

2. Compressor fouling detection by image analysis;Journal of Physics: Conference Series;2023-05-01

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