Experiments With Sea Spray Icing: Investigation of Icing Rates

Sea spray icing on ships and marine structures depends on a complex correlation between metocean parameters and vessel characteristics. Sea spray icing rates have mostly been investigated and given as a function of general metocean parameters. The existing models suffer from the lack of experimental...

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Published in:Journal of Offshore Mechanics and Arctic Engineering
Main Authors: Deshpande, Sujay, Sæterdal, Ane Solbakken, Sundsbø, Per-Arne
Format: Article in Journal/Newspaper
Language:English
Published: ASME 2023
Subjects:
Online Access:https://hdl.handle.net/10037/33439
https://doi.org/10.1115/1.4062255
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spelling ftunivtroemsoe:oai:munin.uit.no:10037/33439 2024-05-19T07:32:56+00:00 Experiments With Sea Spray Icing: Investigation of Icing Rates Deshpande, Sujay Sæterdal, Ane Solbakken Sundsbø, Per-Arne 2023-05-11 https://hdl.handle.net/10037/33439 https://doi.org/10.1115/1.4062255 eng eng ASME Journal of Offshore Mechanics and Arctic Engineering Deshpande, Sæterdal, Sundsbø. Experiments With Sea Spray Icing: Investigation of Icing Rates. Journal of Offshore Mechanics and Arctic Engineering. 2023;146(1) FRIDAID 2232506 doi:10.1115/1.4062255 0892-7219 1528-896X https://hdl.handle.net/10037/33439 openAccess Copyright 2023 The Author(s) Journal article Tidsskriftartikkel Peer reviewed acceptedVersion 2023 ftunivtroemsoe https://doi.org/10.1115/1.4062255 2024-04-30T23:30:34Z Sea spray icing on ships and marine structures depends on a complex correlation between metocean parameters and vessel characteristics. Sea spray icing rates have mostly been investigated and given as a function of general metocean parameters. The existing models suffer from the lack of experimental data. More experimental data are required for better prediction models and understanding of the icing process. This article presents results from a comprehensive cold laboratory study of the dependence and trends of sea spray icing rates related to eight parameters. Experiments were performed simulating sea spray from a nozzle toward a vertical surface in the freezing environment. This study presents 20 unique tests structured into eight experiments, each of which focuses on change in icing rates due to one independent variable. Results showed that the sea spray rate dependence of the investigated parameters complies with the existing knowledge; however, preliminary analysis points out various unintentional covariates for most experiments that call for further investigations. This is the greatest number of variables tested in one set of experiments to date and serves as valuable sea spray icing data experimental data—a limitation for the evaluation of previous models that pointed out the lack of enough icing measurements in this field of research. Article in Journal/Newspaper Arctic University of Tromsø: Munin Open Research Archive Journal of Offshore Mechanics and Arctic Engineering 146 1
institution Open Polar
collection University of Tromsø: Munin Open Research Archive
op_collection_id ftunivtroemsoe
language English
description Sea spray icing on ships and marine structures depends on a complex correlation between metocean parameters and vessel characteristics. Sea spray icing rates have mostly been investigated and given as a function of general metocean parameters. The existing models suffer from the lack of experimental data. More experimental data are required for better prediction models and understanding of the icing process. This article presents results from a comprehensive cold laboratory study of the dependence and trends of sea spray icing rates related to eight parameters. Experiments were performed simulating sea spray from a nozzle toward a vertical surface in the freezing environment. This study presents 20 unique tests structured into eight experiments, each of which focuses on change in icing rates due to one independent variable. Results showed that the sea spray rate dependence of the investigated parameters complies with the existing knowledge; however, preliminary analysis points out various unintentional covariates for most experiments that call for further investigations. This is the greatest number of variables tested in one set of experiments to date and serves as valuable sea spray icing data experimental data—a limitation for the evaluation of previous models that pointed out the lack of enough icing measurements in this field of research.
format Article in Journal/Newspaper
author Deshpande, Sujay
Sæterdal, Ane Solbakken
Sundsbø, Per-Arne
spellingShingle Deshpande, Sujay
Sæterdal, Ane Solbakken
Sundsbø, Per-Arne
Experiments With Sea Spray Icing: Investigation of Icing Rates
author_facet Deshpande, Sujay
Sæterdal, Ane Solbakken
Sundsbø, Per-Arne
author_sort Deshpande, Sujay
title Experiments With Sea Spray Icing: Investigation of Icing Rates
title_short Experiments With Sea Spray Icing: Investigation of Icing Rates
title_full Experiments With Sea Spray Icing: Investigation of Icing Rates
title_fullStr Experiments With Sea Spray Icing: Investigation of Icing Rates
title_full_unstemmed Experiments With Sea Spray Icing: Investigation of Icing Rates
title_sort experiments with sea spray icing: investigation of icing rates
publisher ASME
publishDate 2023
url https://hdl.handle.net/10037/33439
https://doi.org/10.1115/1.4062255
genre Arctic
genre_facet Arctic
op_relation Journal of Offshore Mechanics and Arctic Engineering
Deshpande, Sæterdal, Sundsbø. Experiments With Sea Spray Icing: Investigation of Icing Rates. Journal of Offshore Mechanics and Arctic Engineering. 2023;146(1)
FRIDAID 2232506
doi:10.1115/1.4062255
0892-7219
1528-896X
https://hdl.handle.net/10037/33439
op_rights openAccess
Copyright 2023 The Author(s)
op_doi https://doi.org/10.1115/1.4062255
container_title Journal of Offshore Mechanics and Arctic Engineering
container_volume 146
container_issue 1
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