Numerical Predictions of Solidification and Water Droplet Impingement
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Ice accretion is a hazard for offshore operations on cold northern waters. Icing on vessel surfaces can be caused by a variety of phenomena, including cold air temperature, low water temperature, freezing rain, and supercooled fog, among others. A single salt water droplet's phase change behaviour after impacting on a very cold surface is numerically studied in this paper. The model used in this study solves the flow equation, composed of energy balance and the volume fraction equations. The new predictive techniques developed in this research provides important new insights on sea spray icing of arctic vessels, medium-sized fishing trawlers, and offshore structures operating in harsh offshore environments. The main objective of the study is to investigate the influence of several physical properties on droplet freezing. Important factors include liquid fraction, salinity effect, total freezing time, and rate of total heat transfer. The liquid fraction helps to understand the complete phase change behaviors by means of three distinct transition stages: fully liquid stage, mushy or transition stage, and complete ice phase. The simulated results based on salt water properties show salinity increases total freezing times. Wall heat transfer and temperature distribution help to show heat transfer rates between the droplet and object surface. Further, this research provides an important technical achievement for ice load prediction, modeling and preventation. This contribution is particularly significant for vessels and offshore petroleum industries in the Northern environment.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it