|Table of Contents|

Image Processing of Combustion Oscillating Flame(PDF)

《燃烧科学与技术》[ISSN:1006-8740/CN:12-1240/TK]

Issue:
2020 01
Page:
10-17
Research Field:
Publishing date:

Info

Title:
Image Processing of Combustion Oscillating Flame
Author(s):
Lai Anqing1Liu Yunpeng 2Fu Yaoming 1Yan Yingwen 2
1. School of Aviation Engineering,Civil Aviation Flight University of China,Guanghan 618300,China;2. School of Energy and Power Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China
Keywords:
combustion oscillationimage FFTproper orthogonal decomposition(POD)dynamic mode decomposition(DMD)
PACS:
V231.2
DOI:
10.11715/rskxjs.R201903006
Abstract:
Three methods,i.e.,image FFT,proper orthogonal decomposition(POD) and dynamic mode decomposition(DMD),were used to decompose the flame images under the combustion oscillation circumstance, and the fluctuation amplitude,dominant frequency and initial phase were obtained. In the image FFT method,the fast Fourier transform was introduced to analyze the time-varying gray values of each pixel in the images,and then the fluctuating characteristics of the whole flame structure were obtained. The POD and DMD methods treated each flame image as a sample data,which was expressed in the form of a vector. Afterwards,mode decomposition was conducted according to linear algebra and matrix analysis theory. The dominant frequencies and the corresponding amplitudes obtained using the DMD method were in agreement with those obtained using the image FFT method, and the pulsating characteristics of single frequency(e.g.,fundamental and harmonic frequencies) were obtained. The POD method failed to separate the pulsating structures corresponding to the specific dominant frequency, instead,it captured the whole fluctuating structure. The results showed that all the three methods above can capture the primary fluctuating characteristics of flame via images in the oscillating environment.

References:

Memo

Memo:
-
Last Update: 2020-01-17