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research-article

Analysis for combustion instability and stabilization characteristics in a swirled premixed combustor with a slotted plate

[+] Author and Article Information
Seungtaek Oh

Department of Mechanical Engineering, Hanyang University, 17, Haengdang-Dong, Sungdong-Gu, 04763, Korea
ost816@naver.com

Jaehyeon Kim

Department of Mechanical Engineering, Hanyang University, 17, Haengdang-Dong, Sungdong-Gu, 04763, Korea
ryunjin@paran.com

Yongmo Kim

Department of Mechanical Engineering, Hanyang University, 17, Haengdang-Dong, Sungdong-Gu, 04763, Korea
ymkim@hanyang.ac.kr

1Corresponding author.

ASME doi:10.1115/1.4039803 History: Received May 04, 2017; Revised February 18, 2018

Abstract

In the present study, new methodologies are introduced to analyze combustion instability in a lab-scale swirled combustor. First, with the help of radial basis function neural network (RBFNN), the flame describing function (FDF) is effectively modelled from a limited number of experimental data. This neural-network based FDF method is able to generate more refined FDF data in an extended range. In addition, instead of a perforated plate with round holes, a slotted plate is utilized as a stabilization device. In this approach, the acoustic impedance of a slotted plate is modeled by the Dowling approach and the dimensions of a slotted plate are optimized by simulated annealing (SA) algorithm to get the highest average absorption coefficient in a given frequency range. The present RBFNN based FDF approach yields the reasonably good agreements with the measurements in terms of the limit-cycle velocity perturbation ratio and resonant frequency. It is also found that a slotted plate optimized by SA algorithm is quite effective to attenuate combustion instability. Numerical results obtained in this study confirm that these new methodologies are quite reliable and widely applicable for the analysis of combustion instability encountered in practical combustion systems.

Copyright (c) 2018 by ASME
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