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research-article

Quantitative CFD Analyses of Particle Deposition in a Heavy-Duty Subsonic Axial Compressor

[+] Author and Article Information
Nicola Aldi

Dipartimento di Ingegneria, Università degli Studi di Ferrara, 44122 Ferrara, Italy
nicola.aldi@unife.it

Nicola Casari

Dipartimento di Ingegneria, Università degli Studi di Ferrara, 44122 Ferrara, Italy
nicola.casari@unife.it

Devid Dainese

Dipartimento di Ingegneria, Università degli Studi di Ferrara, 44122 Ferrara, Italy
devid.dainese@unife.it

Mirko Morini

Dipartimento di Ingegneria e Architettura, Università degli Studi di Parma, 43121 Parma, Italy
mirko.morini@unipr.it

Michele Pinelli

Dipartimento di Ingegneria, Università degli Studi di Ferrara, 44122 Ferrara, Italy
michele.pinelli@unife.it

Pier Ruggero Spina

Dipartimento di Ingegneria, Università degli Studi di Ferrara, 44122 Ferrara, Italy
pier.ruggero.spina@unife.it

Alessio Suman

Dipartimento di Ingegneria, Università degli Studi di Ferrara, 44122 Ferrara, Italy
alessio.suman@unife.it

1Corresponding author.

ASME doi:10.1115/1.4038608 History: Received August 09, 2017; Revised September 21, 2017

Abstract

Solid particle ingestion is one of the principal degradation mechanisms in the compressor and turbine sections of gas turbines. This paper presents numerical simulations of the micro-particle ingestion in a multistage subsonic axial compressor, carried out by means of a commercial computational fluid dynamic code. Particle trajectory simulations use a stochastic Lagrangian tracking method that solves the equations of motion separately from the continuous phase. The adopted computational strategy allows the evaluation of particle deposition in a multistage compressor thanks to the use of a mixing plane approach to model the rotor/stator interaction. The compressor numerical model and the discrete phase model are set up and validated against the experimental and numerical data available in literature. The number of particles and sizes are specified in order to perform a quantitative analysis of the particle impacts on the blade surface. The blade zones affected by particle impacts and the kinematic characteristics of the impact of micrometric and sub-micrometric particles with the blade surface are shown. The particle deposition is established by using the sticking probability, which links the kinematic characteristics of particle impact on the blade with the fouling phenomenon. The results show that micro-particles tend to follow the flow by impacting on the compressor blades at full span. The suction side of the blade is only affected by the impacts of the smallest particles. Particular fluid dynamic phenomena strongly influence the impact location of the particles. The impact and deposition trends decrease according to the stages.

Copyright (c) 2017 by ASME
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