Simultaneous Measurement of Three-Dimensional Soot Temperature and Volume Fraction Fields in Axisymmetric or Asymmetric Small Unconfined Flames With CCD Cameras

2010 ◽  
Vol 132 (6) ◽  
Author(s):  
D. Liu ◽  
Q. X. Huang ◽  
F. Wang ◽  
Y. Chi ◽  
K. F. Cen ◽  
...  

A nonintrusive measurement technique is presented numerically for simultaneous measurement of three-dimensional (3D) soot temperature and volume fraction fields in the axisymmetric or asymmetric flames with charge-coupled device (CCD) cameras. CCD cameras were introduced to capture the flame images for obtaining the line-of-sight radiation intensities. The distributions of local emission source under two wavelengths can be deduced through solving the reconstruction matrix equation by the least-square QR decomposition method from the knowledge of the line-of-sight radiation intensities of the flames. The two-color distributions of the local emission source were used to retrieve the soot temperature and volume fraction distributions. The effects of the discrete ray number of CCD cameras, the number of CCD cameras, and the system signal-to-noise ratio (SNR) on the measurement were investigated. The results show that for accurate measurement of soot volume fraction field, the CCD cameras number should not be less than four and the system SNR can be as low as 54 dB. The proposed technique can be capable for reconstructing the 3D soot temperature and volume fraction fields in both axisymmetric and asymmetric flames well.

2016 ◽  
Vol 24 (26) ◽  
pp. 29547 ◽  
Author(s):  
Terrence R. Meyer ◽  
Benjamin R. Halls ◽  
Naibo Jiang ◽  
Mikhail N. Slipchenko ◽  
Sukesh Roy ◽  
...  

2006 ◽  
Vol 178 (5) ◽  
pp. 813-835 ◽  
Author(s):  
GUILLAUME LEGROS ◽  
PIERRE JOULAIN ◽  
JEAN-PIERRE VANTELON ◽  
ANDRES FUENTES ◽  
DENIS BERTHEAU ◽  
...  

2013 ◽  
Vol 52 (33) ◽  
pp. 8040 ◽  
Author(s):  
Haiqing Guo ◽  
Jose A. Castillo ◽  
Peter B. Sunderland

2011 ◽  
Vol 60 (6) ◽  
pp. 060701
Author(s):  
Liu Dong ◽  
Yan Jian-Hua ◽  
Wang Fei ◽  
Huang Qun-Xing ◽  
Chi Yong ◽  
...  

2002 ◽  
Vol 33 (2) ◽  
pp. 265-269 ◽  
Author(s):  
J. Hult ◽  
A. Omrane ◽  
J. Nygren ◽  
C. Kaminski ◽  
B. Axelsson ◽  
...  

2013 ◽  
Vol 34 (2) ◽  
pp. 2885-2893 ◽  
Author(s):  
Curtis K. Stimpson ◽  
Andrew Fry ◽  
Trevor Blanc ◽  
Dale R. Tree

Author(s):  
B. Ralph ◽  
A.R. Jones

In all fields of microscopy there is an increasing interest in the quantification of microstructure. This interest may stem from a desire to establish quality control parameters or may have a more fundamental requirement involving the derivation of parameters which partially or completely define the three dimensional nature of the microstructure. This latter categorey of study may arise from an interest in the evolution of microstructure or from a desire to generate detailed property/microstructure relationships. In the more fundamental studies some convolution of two-dimensional data into the third dimension (stereological analysis) will be necessary.In some cases the two-dimensional data may be acquired relatively easily without recourse to automatic data collection and further, it may prove possible to perform the data reduction and analysis relatively easily. In such cases the only recourse to machines may well be in establishing the statistical confidence of the resultant data. Such relatively straightforward studies tend to result from acquiring data on the whole assemblage of features making up the microstructure. In this field data mode, when parameters such as phase volume fraction, mean size etc. are sought, the main case for resorting to automation is in order to perform repetitive analyses since each analysis is relatively easily performed.


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