Single drop breakage in turbulent flow: Statistical data analysis
To improve breakage models in the population balance framework, single octanol droplet experiments have been performed in a channel flow and recorded by high-speed camera. The study investigates impact of mother drop size on the breakage time, breakage probability, average number of daughters and th...
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doaj-76334788351b46e4af2355ce5bddbf142020-12-17T04:51:28ZengElsevierChemical Engineering Science: X2590-14002020-11-018100082Single drop breakage in turbulent flow: Statistical data analysisEirik H. Herø0Nicolas La Forgia1Jannike Solsvik2Hugo A. Jakobsen3Corresponding author.; Department of Chemical Engineering, Norwegian University of Science and Technology, Sem Sælandsvei 4, Kjemiblokk 5, 7491 Trondheim, NorwayDepartment of Chemical Engineering, Norwegian University of Science and Technology, Sem Sælandsvei 4, Kjemiblokk 5, 7491 Trondheim, NorwayDepartment of Chemical Engineering, Norwegian University of Science and Technology, Sem Sælandsvei 4, Kjemiblokk 5, 7491 Trondheim, NorwayDepartment of Chemical Engineering, Norwegian University of Science and Technology, Sem Sælandsvei 4, Kjemiblokk 5, 7491 Trondheim, NorwayTo improve breakage models in the population balance framework, single octanol droplet experiments have been performed in a channel flow and recorded by high-speed camera. The study investigates impact of mother drop size on the breakage time, breakage probability, average number of daughters and the daughter size distribution for known turbulence characteristics. Each breakage event is associated with an individual turbulence level, based on the local flow characteristics. A clearly defined statistical analysis is presented. Using 95% confidence intervals, the precision of each of the determined properties is described quantitatively. Furthermore, the confidence intervals are a tool for determining whether an increased number of experiments will yield a significant increase in the precision, considered against the sources of error. It is found that 35–50 breakage events are sufficient to obtain confidence intervals of desired precision.http://www.sciencedirect.com/science/article/pii/S2590140020300289BreakageFluid particleTurbulenceStatistical analysisPopulation balance equation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Eirik H. Herø Nicolas La Forgia Jannike Solsvik Hugo A. Jakobsen |
spellingShingle |
Eirik H. Herø Nicolas La Forgia Jannike Solsvik Hugo A. Jakobsen Single drop breakage in turbulent flow: Statistical data analysis Chemical Engineering Science: X Breakage Fluid particle Turbulence Statistical analysis Population balance equation |
author_facet |
Eirik H. Herø Nicolas La Forgia Jannike Solsvik Hugo A. Jakobsen |
author_sort |
Eirik H. Herø |
title |
Single drop breakage in turbulent flow: Statistical data analysis |
title_short |
Single drop breakage in turbulent flow: Statistical data analysis |
title_full |
Single drop breakage in turbulent flow: Statistical data analysis |
title_fullStr |
Single drop breakage in turbulent flow: Statistical data analysis |
title_full_unstemmed |
Single drop breakage in turbulent flow: Statistical data analysis |
title_sort |
single drop breakage in turbulent flow: statistical data analysis |
publisher |
Elsevier |
series |
Chemical Engineering Science: X |
issn |
2590-1400 |
publishDate |
2020-11-01 |
description |
To improve breakage models in the population balance framework, single octanol droplet experiments have been performed in a channel flow and recorded by high-speed camera. The study investigates impact of mother drop size on the breakage time, breakage probability, average number of daughters and the daughter size distribution for known turbulence characteristics. Each breakage event is associated with an individual turbulence level, based on the local flow characteristics. A clearly defined statistical analysis is presented. Using 95% confidence intervals, the precision of each of the determined properties is described quantitatively. Furthermore, the confidence intervals are a tool for determining whether an increased number of experiments will yield a significant increase in the precision, considered against the sources of error. It is found that 35–50 breakage events are sufficient to obtain confidence intervals of desired precision. |
topic |
Breakage Fluid particle Turbulence Statistical analysis Population balance equation |
url |
http://www.sciencedirect.com/science/article/pii/S2590140020300289 |
work_keys_str_mv |
AT eirikhherø singledropbreakageinturbulentflowstatisticaldataanalysis AT nicolaslaforgia singledropbreakageinturbulentflowstatisticaldataanalysis AT jannikesolsvik singledropbreakageinturbulentflowstatisticaldataanalysis AT hugoajakobsen singledropbreakageinturbulentflowstatisticaldataanalysis |
_version_ |
1724380111984132096 |