Research Papers

Quantitative Computational Fluid Dynamic Analyses of Particle Deposition on a Transonic Axial Compressor Blade—Part II: Impact Kinematics and Particle Sticking Analysis

[+] Author and Article Information
Alessio Suman, Nicola Aldi, Michele Pinelli, Pier Ruggero Spina

Dipartimento di Ingegneria,
Università degli Studi di Ferrara,
Ferrara 44122, Italy

Mirko Morini

Dipartimento di Ingegneria Industriale,
Università degli Studi di Parma,
Parma 43121, Italy

Rainer Kurz

Solar Turbines Incorporated,
San Diego, CA 92123

Klaus Brun

Southwest Research Institute,
San Antonio, TX 78228

Contributed by the International Gas Turbine Institute (IGTI) of ASME for publication in the JOURNAL OF TURBOMACHINERY. Manuscript received July 21, 2014; final manuscript received August 4, 2014; published online September 30, 2014. Editor: Ronald Bunker.

J. Turbomach 137(2), 021010 (Sep 30, 2014) (12 pages) Paper No: TURBO-14-1160; doi: 10.1115/1.4028296 History: Received July 21, 2014; Revised August 04, 2014

In heavy-duty gas turbines, the microparticles that are not captured by the air filtration system can cause fouling and, consequently, a performance drop of the compressor. This paper presents three-dimensional numerical simulations of the microparticle ingestion (0 μm–2 μm) on an axial compressor rotor carried out by means of a commercial computational fluid dynamic (CFD) code. Particle trajectory simulations use a stochastic Lagrangian tracking method that solves the equations of motion separately from the continuous phase. The NASA Rotor 37 is considered as a case study for the numerical investigation. The compressor rotor numerical model and the discrete phase model were previously validated by the authors in the first part of this work. The kinematic characteristics (velocity and angle) of the impact of micrometric and submicrometric particles with the blade surface of an axial transonic compressor are shown. The blade zones affected by particle impact were extensively analyzed and reported in the first part of this work, forming the starting point for the analyses shown in this paper. The kinematic analysis showed a high tendency of particle adhesion on the suction side (SS), especially for the particles with a diameter equal to 0.25 μm. Fluid dynamic phenomena and airfoil shape play a key role regarding particle impact velocity and angle. This work has the goal of combining, for the first time, the kinematic characteristics of particle impact on the blade with fouling phenomenon by the use of a quantity called sticking probability (SP) adopted from literature. From these analyses, some guidelines for a proper management of the power plant (in terms of filtration and washing strategies) are highlighted.

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Grahic Jump Location
Fig. 1

Impact velocity vi, 2nd, 6th, 10th strip, case 1

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Fig. 2

Impact velocity vi, 11th strip SS, case 1

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Fig. 3

Particle vectors velocity: (a) normal and tangential impact velocity and (b) impact velocity

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Fig. 4

(a) Impact angle α, 6th strip, PS, case 1 and (b) contour plot of the PS curvature

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Fig. 5

Impact angle α, 10th strip, SS, case 1

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Fig. 6

SP versus normal impact velocity vn of silicon carbide particles, 0.37 μm on silica target [11], and trend of adopted equations superimposed

Grahic Jump Location
Fig. 7

SP versus normal impact velocity vn of silicon carbide particles, 0.64 μm on silica target [11], and trend of adopted equations superimposed

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Fig. 8

SP, 6th strip, case 1

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Fig. 9

Tangential velocity vt, 6th strip, case 1

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Fig. 10

Ratio nSIDE for the SS and PS of cases 1, 2, and 3

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Fig. 11

Trends of the ratio nhit,SP>0.5 and ηhit superimposed





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