2010
DOI: 10.1016/j.combustflame.2009.12.013
|View full text |Cite
|
Sign up to set email alerts
|

POD-based analysis of combustion images in optically accessible engines

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
35
0

Year Published

2011
2011
2016
2016

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 63 publications
(35 citation statements)
references
References 10 publications
0
35
0
Order By: Relevance
“…For POD on velocity fields, the basis functions are themselves velocity fields, and most of the structure in the measured velocity field can be captured by a linear combination of only a few basis functions. In this case, we use the snapshot approach, developed by Sirovich (1987), which is more convenient when the number of collected samples is smaller than the space discretization, according to Bizon et al (2010). The snapshot approach has been applied in engine flow research to extract coherent structures from a turbulent flow in an unbiased way by Druault et al (2005) and Roudnitzky et al (2006) and also for decomposition of soot luminosity during combustion by Bizon et al (2009).…”
Section: Proper Orthogonal Decompositionmentioning
confidence: 99%
“…For POD on velocity fields, the basis functions are themselves velocity fields, and most of the structure in the measured velocity field can be captured by a linear combination of only a few basis functions. In this case, we use the snapshot approach, developed by Sirovich (1987), which is more convenient when the number of collected samples is smaller than the space discretization, according to Bizon et al (2010). The snapshot approach has been applied in engine flow research to extract coherent structures from a turbulent flow in an unbiased way by Druault et al (2005) and Roudnitzky et al (2006) and also for decomposition of soot luminosity during combustion by Bizon et al (2009).…”
Section: Proper Orthogonal Decompositionmentioning
confidence: 99%
“…The essential idea of the POD is finding among a set of realizations of the flow fields the one that maximizes the mean square energy. The method has been intensively investigated for real-time flow control and physical process simulation because of its ability to yield a basis for low-order dynamic systems (Berkooz 1991;Ly and Tran 2001;Utturkar et al 2005;Rowley et al 2004;Ravindran 2002;Epureanu 2003;Perret et al 2006), and especially for the cyclic variability evaluation via statistical properties of the POD temporal coefficients (Druault et al 2005;Druault and Chaillou 2007;Roudnitzky et al 2006;Cosadia et al 2006;Bizon et al 2010;Fogleman et al 2004;Graftieaux et al 2001). The paper is organized as follows.…”
Section: Abbreviationsmentioning
confidence: 99%
“…For example, Arienti et al (Arienti et al, 2008) used POD to investigate the dynamics of fluid jets. Bizon et al (Bizon et al, 2010) applied POD in internal combustion engines to investigate the scalar field of luminosity, thus receiving information about the flame dynamics.…”
Section: Proper Orthogonal Decompositionmentioning
confidence: 99%
“…The incoherent part should include all fluctuations for which no pattern can be identified over the burning process. It is commonly thought that the first few modes correspond to the average structure of the data, while higher order modes contain information about fluctuations (Bizon et al, 2010). The Nonlinear Iterative Partial Least Squares (NIPALS) algorithm is used for the principal component analysis in the POD method.…”
Section: Proper Orthogonal Decompositionmentioning
confidence: 99%