The influence of bubble departure characteristics on CHF prediction at high-pressure conditions

The two-fluid Eulerian model, coupled with the heat flux partitioning model, is being widely used to predict subcooled flow boiling characteristics and critical heat flux (CHF). The heat flux partitioning model relies on essential parameters like bubble departure diameter, departure frequency, and n...

Full description

Bibliographic Details
Main Authors: Sai Raja Gopal Vadlamudi, Arun K. Nayak
Format: Article
Language:English
Published: Elsevier 2020-12-01
Series:Case Studies in Thermal Engineering
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2214157X20304779
id doaj-f18561ca8c9645b9bc4e8e2c9f34c3d5
record_format Article
spelling doaj-f18561ca8c9645b9bc4e8e2c9f34c3d52020-12-21T12:59:08ZengElsevierCase Studies in Thermal Engineering2214-157X2020-12-0122100735The influence of bubble departure characteristics on CHF prediction at high-pressure conditionsSai Raja Gopal Vadlamudi0Arun K. Nayak1Homi Bhabha National Institute, Anushaktinagar, Mumbai, 400 094, India; Corresponding author.Homi Bhabha National Institute, Anushaktinagar, Mumbai, 400 094, India; Reactor Engineering Division, Bhabha Atomic Research Centre, Trombay, Mumbai, 400 085, IndiaThe two-fluid Eulerian model, coupled with the heat flux partitioning model, is being widely used to predict subcooled flow boiling characteristics and critical heat flux (CHF). The heat flux partitioning model relies on essential parameters like bubble departure diameter, departure frequency, and nucleation site density. Mainly, performing experiments to determine bubble departure diameters and frequencies is challenging. Another approach is to use semi-mechanistic models; however, even such models rely on some crucial parameters like advancing contact angle, receding contact angle, contact diameter, and many others. In this study, the influence of such parameters, and the role of different forces in determining bubble departure diameters and departure frequencies, at high-pressure conditions is studied. Moreover, a parametric analysis is carried to understand the influence of such parameters on CHF prediction.http://www.sciencedirect.com/science/article/pii/S2214157X20304779CHF predictionSubcooled boiling modelingCritical heat fluxCFD modelingBubble departure diameter prediction
collection DOAJ
language English
format Article
sources DOAJ
author Sai Raja Gopal Vadlamudi
Arun K. Nayak
spellingShingle Sai Raja Gopal Vadlamudi
Arun K. Nayak
The influence of bubble departure characteristics on CHF prediction at high-pressure conditions
Case Studies in Thermal Engineering
CHF prediction
Subcooled boiling modeling
Critical heat flux
CFD modeling
Bubble departure diameter prediction
author_facet Sai Raja Gopal Vadlamudi
Arun K. Nayak
author_sort Sai Raja Gopal Vadlamudi
title The influence of bubble departure characteristics on CHF prediction at high-pressure conditions
title_short The influence of bubble departure characteristics on CHF prediction at high-pressure conditions
title_full The influence of bubble departure characteristics on CHF prediction at high-pressure conditions
title_fullStr The influence of bubble departure characteristics on CHF prediction at high-pressure conditions
title_full_unstemmed The influence of bubble departure characteristics on CHF prediction at high-pressure conditions
title_sort influence of bubble departure characteristics on chf prediction at high-pressure conditions
publisher Elsevier
series Case Studies in Thermal Engineering
issn 2214-157X
publishDate 2020-12-01
description The two-fluid Eulerian model, coupled with the heat flux partitioning model, is being widely used to predict subcooled flow boiling characteristics and critical heat flux (CHF). The heat flux partitioning model relies on essential parameters like bubble departure diameter, departure frequency, and nucleation site density. Mainly, performing experiments to determine bubble departure diameters and frequencies is challenging. Another approach is to use semi-mechanistic models; however, even such models rely on some crucial parameters like advancing contact angle, receding contact angle, contact diameter, and many others. In this study, the influence of such parameters, and the role of different forces in determining bubble departure diameters and departure frequencies, at high-pressure conditions is studied. Moreover, a parametric analysis is carried to understand the influence of such parameters on CHF prediction.
topic CHF prediction
Subcooled boiling modeling
Critical heat flux
CFD modeling
Bubble departure diameter prediction
url http://www.sciencedirect.com/science/article/pii/S2214157X20304779
work_keys_str_mv AT sairajagopalvadlamudi theinfluenceofbubbledeparturecharacteristicsonchfpredictionathighpressureconditions
AT arunknayak theinfluenceofbubbledeparturecharacteristicsonchfpredictionathighpressureconditions
AT sairajagopalvadlamudi influenceofbubbledeparturecharacteristicsonchfpredictionathighpressureconditions
AT arunknayak influenceofbubbledeparturecharacteristicsonchfpredictionathighpressureconditions
_version_ 1724375086959427584