2013
DOI: 10.1016/j.ces.2013.02.043
|View full text |Cite
|
Sign up to set email alerts
|

Development of an image measurement technique for size distribution in dense bubbly flows

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
102
0
4

Year Published

2016
2016
2024
2024

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 166 publications
(109 citation statements)
references
References 33 publications
0
102
0
4
Order By: Relevance
“…Only projected bubble images could be obtained. This problem is well known and, despite some proposals (Bian et al, 2013;Sahagian and Proussevitch, 1998), a solution is far from being reached and the use of 2D projected images is a common way of processing bubble images (Karn et al, 2015;Lage and Espósito, 1999;Lau et al, 2013aLau et al, , 2013bWongsuchoto et al, 2003). However, the bubble shape data obtained by this approach are considered reliable: the bubble shape information allowed the extrapolation of correlations for the aspect ratio (Besagni, 2016; and flow regime transition criteria .…”
Section: Image Analysis: Uncertaintiesmentioning
confidence: 99%
“…Only projected bubble images could be obtained. This problem is well known and, despite some proposals (Bian et al, 2013;Sahagian and Proussevitch, 1998), a solution is far from being reached and the use of 2D projected images is a common way of processing bubble images (Karn et al, 2015;Lage and Espósito, 1999;Lau et al, 2013aLau et al, , 2013bWongsuchoto et al, 2003). However, the bubble shape data obtained by this approach are considered reliable: the bubble shape information allowed the extrapolation of correlations for the aspect ratio (Besagni, 2016; and flow regime transition criteria .…”
Section: Image Analysis: Uncertaintiesmentioning
confidence: 99%
“…Nonintrusive measurement techniques are preferred over intrusive methods because the flow conditions are not disturbed, and image analysis is attracting growing attention. Image analysis has been mostly applied to rectangular/small-scale (Lau et al, 2013a(Lau et al, , 2013bZaruba et al, 2005) or medium scale (Schäfer et al, 2002) bubble columns, but there is a lack of studies concerning BSDs in largediameter bubble columns. Furthermore, studies analyzing the bubble size distributions near the sparger are uncommon (Hur et al, 2013), and the influence of the liquid velocity on the bubble shape and bubble size distribution is far from being understood (Besagni and Inzoli, 2016b).…”
Section: Introductionmentioning
confidence: 99%
“…The optical image analyses have been used recently for quantifying the bubble size distribution. [63][64][65][66] Luo et al 67 utilized the visualization technique to study the bubble characteristics and bubble formation behavior. A number of studies have been recently conducted using this approach with different algorithms for image analysis.…”
Section: Non-intrusive Techniquesmentioning
confidence: 99%
“…A number of studies have been recently conducted using this approach with different algorithms for image analysis. 8,65,66,[68][69][70][71][72][73][74] Although it is very convenient and time efficient for online monitoring and analysis of a large number of images, to implement this technique for real-time analysis of the bubbly flow images from different engineering applications pose multifarious challenges. Generally, due to the excessive coalescence and breakup of bubbles, most of the proposed techniques for bubble image processing produce significant errors when applied to flows with high gas and liquid velocities.…”
Section: Non-intrusive Techniquesmentioning
confidence: 99%
See 1 more Smart Citation