A review of numerical modelling techniques for marine icing applications

Sultana, Kaniz Ronak; Dehghani, S. R.; Pope, Kevin; Muzychka, Y. S.

doi:10.1016/j.coldregions.2017.08.007

Cited by 15 publications

(6 citation statements)

References 47 publications

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“…Generally, sea spray icing occurs at the lower heights of the ship's surface such as decks, derricks and handrails. The height of the sea spray is approximately 16 m above sea level (Sultana et al, 2018, WMO, 1962.…”

Section: A Cold Climate Operationsmentioning

confidence: 99%

Measuring thickness of marine ice using IR thermography

Rashid

Khawaja

Edvardsen

2019

Cold Regions Science and Technology

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There are several challenges to operating in a cold climate. Marine icing is one of them, and its mitigation is vital for marine operations. The presented work is a laboratory-scale setup to measure marine ice thickness. The developed methodology can be applied towards de-/anti-icing setups. The method described is based on measuring the average surface temperatures of the marine ice. Infrared thermography (IRT) is used to measure the thermal response of ice when subjected to active heating. These tests are performed at various controlled climatic conditions. The surface temperature profiles of marine icing samples are recorded with a calibrated high definition infrared camera. The results show distinct thermal profiles for different ice thicknesses (5, 10 and 15mm). The thermal profile revealed three parameters, namely: time to respond (), rate of change of temperature (), and time to reach of 5 o C (). These parameters can be empirically correlated to initial temperature () and ice thickness (). It was found that time to respond () had a strong correlation with ice thickness (); however, the rate of change of temperature () and time to reach ∆T of 5 o C () were both dependent on initial temperature () and ice thickness (). The study mentioned above is conceptual proof that ice thickness can be measured with the given setup, taking into account environmental parameters and accurate calibration.

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Section: A Cold Climate Operationsmentioning

confidence: 99%

Measuring thickness of marine ice using IR thermography

Rashid

Khawaja

Edvardsen

2019

Cold Regions Science and Technology

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“…The phenomenon of icing is ubiquitous in daily life, but the undesired icing often causes serious economic losses, energy consumption, and even threatens personal safety. − Recently, great efforts have been put into the research of anti-icing materials and gradually focus on developing active and passive anti-icing strategies. The active anti-icing strategies, that is, by virtue of heating, mechanical force, chemical agents, and ultrasonic vibration to melt or remove the attached ice, often have the disadvantages of high energy consumption, low efficiency, and environmental pollution. , In contrast, passive strategies that endow the material itself with the properties of inhibiting ice formation and reducing ice adhesion highlight the advantages of environmental and economic friendliness. − …”

Section: Introductionmentioning

confidence: 99%

Uniformly Hybrid Surface Containing Adjustable Hydrophobic/Hydrophilic Components Obtained by Programmed Strain for Synergistic Anti-Icing

Wang,

Chen,

Lian

et al. 2023

Langmuir

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Sufficient efforts have been put into the design of anti-icing materials to eliminate the icing hazard. Among the currently approved anti-icing concepts, hydrophilic/hydrophobic hybrid anti-icing materials inspired by antifreeze proteins show excellent properties in inhibiting ice nucleation, inhibiting ice crystal growth, and reducing ice adhesion. However, it is still a great challenge to accurately regulate the hydrophilic and hydrophobic hybrid components of the coating surface to clarify the synergistic mechanism. This work proposes a strain-manipulated surface modification strategy, and an anti-icing coating with adjustable hydrophilic/hydrophobic hybrid components prepared by combining chemical vapor deposition and siloxane chemistry is obtained. According to the ice resistance experiment at −15 °C, the performance of anti-icing is closely related to the proportion of hydrophilic and hydrophobic hybrids. The icing delay time and ice adhesion strength of the material with the optimal hydrophilic/hydrophobic components are 280 s and 18.6 kPa, respectively. These unique properties can be attributed to the synergistic effect of hydrophilic and hydrophobic structures on the regulation of interfacial water.

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“…Accordingly, the data have been examined from different perspectives such as the influence of meteorological and oceanographic conditions on icing rate from the statistical point of view [9], and introducing sea spray algorithms based on the collision of ship and waves considering the environmental data as input parameters [8,10]. The history and development of sea spray icing predictive models have been reviewed in [3,11].…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study of Statistical Techniques for Prediction of Meteorological and Oceanographic Conditions: An Application in Sea Spray Icing

Barjouei

Naseri

2021

JMSE

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Environmental conditions in Arctic waters pose challenges to various offshore industrial activities. In this regard, better prediction of meteorological and oceanographic conditions contributes to addressing the challenges by developing economic plans and adopting safe strategies. This study revolved around simulation of meteorological and oceanographic conditions. To this aim, the applications of Bayesian inference, as well as Monte Carlo simulation (MCS) methods including sequential importance sampling (SIS) and Markov Chain Monte Carlo (MCMC) were studied. Three-hourly reanalysis data from the NOrwegian ReAnalysis 10 km (NORA10) for 33 years were used to evaluate the performance of the suggested simulation approaches. The data corresponding to the first 32 years were used to predict the meteorological and oceanographic conditions, and the data corresponding to the following year were used to model verification on a daily basis. The predicted meteorological and oceanographic conditions were then considered as inputs for the newly introduced icing model, namely Marine-Icing model for the Norwegian Coast Guard (MINCOG), to estimate sea spray icing in some regions of the Arctic Ocean, particularly in the sea area between Northern Norway and Svalbard archipelago. The results indicate that the monthly average absolute deviation (AAD) from reanalysis values for the MINCOG estimations with Bayesian, SIS, and MCMC inputs is not greater than 0.13, 0.22, and 0.41 cm/h, respectively.

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A review of numerical modelling techniques for marine icing applications

Cited by 15 publications

References 47 publications

Measuring thickness of marine ice using IR thermography

Measuring thickness of marine ice using IR thermography

Uniformly Hybrid Surface Containing Adjustable Hydrophobic/Hydrophilic Components Obtained by Programmed Strain for Synergistic Anti-Icing

A Comparative Study of Statistical Techniques for Prediction of Meteorological and Oceanographic Conditions: An Application in Sea Spray Icing

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