Cargando…
A mathematical model for supercooling process and its application to frazil ice evolution
The calculation of the number of ice crystals for the model of frazil ice evolution is very important and affects the whole frazil events. In this paper, the general formula for the number of frazil ice crystals was established considering secondary nucleation, flocculation, gravity and turbulent en...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10086004/ https://www.ncbi.nlm.nih.gov/pubmed/37037896 http://dx.doi.org/10.1038/s41598-023-33097-z |
_version_ | 1785022051044556800 |
---|---|
author | Yang, Deming Lian, Jijian Zhao, Xin Hou, Qingzhi Chen, Yunfei Zhang, Yue |
author_facet | Yang, Deming Lian, Jijian Zhao, Xin Hou, Qingzhi Chen, Yunfei Zhang, Yue |
author_sort | Yang, Deming |
collection | PubMed |
description | The calculation of the number of ice crystals for the model of frazil ice evolution is very important and affects the whole frazil events. In this paper, the general formula for the number of frazil ice crystals was established considering secondary nucleation, flocculation, gravity and turbulent entrainment, and ice crystals by melting. Meanwhile, two physical processes of secondary nucleation and flocculation were expressed by introducing critical impact velocity and the probability of flocculation from previous models. It has been found that the simulation results of frazil ice evolution are in good agreement with the experimental data and actual project. Then, Sobol method is carried out to judge parameters’ influence degree, which found the number of nuclei produced [Formula: see text] is the most sensitive and has the greatest influence on the model results. In addition, sensitivity analysis of these parameters shows that they can affect the maximum supercooling and the period of supercooling. Therefore, the calculation method of the number of ice crystals is applied, which provides technical support for exploring the water temperature and internal relationship of frazil ice evolution. |
format | Online Article Text |
id | pubmed-10086004 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-100860042023-04-12 A mathematical model for supercooling process and its application to frazil ice evolution Yang, Deming Lian, Jijian Zhao, Xin Hou, Qingzhi Chen, Yunfei Zhang, Yue Sci Rep Article The calculation of the number of ice crystals for the model of frazil ice evolution is very important and affects the whole frazil events. In this paper, the general formula for the number of frazil ice crystals was established considering secondary nucleation, flocculation, gravity and turbulent entrainment, and ice crystals by melting. Meanwhile, two physical processes of secondary nucleation and flocculation were expressed by introducing critical impact velocity and the probability of flocculation from previous models. It has been found that the simulation results of frazil ice evolution are in good agreement with the experimental data and actual project. Then, Sobol method is carried out to judge parameters’ influence degree, which found the number of nuclei produced [Formula: see text] is the most sensitive and has the greatest influence on the model results. In addition, sensitivity analysis of these parameters shows that they can affect the maximum supercooling and the period of supercooling. Therefore, the calculation method of the number of ice crystals is applied, which provides technical support for exploring the water temperature and internal relationship of frazil ice evolution. Nature Publishing Group UK 2023-04-10 /pmc/articles/PMC10086004/ /pubmed/37037896 http://dx.doi.org/10.1038/s41598-023-33097-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Yang, Deming Lian, Jijian Zhao, Xin Hou, Qingzhi Chen, Yunfei Zhang, Yue A mathematical model for supercooling process and its application to frazil ice evolution |
title | A mathematical model for supercooling process and its application to frazil ice evolution |
title_full | A mathematical model for supercooling process and its application to frazil ice evolution |
title_fullStr | A mathematical model for supercooling process and its application to frazil ice evolution |
title_full_unstemmed | A mathematical model for supercooling process and its application to frazil ice evolution |
title_short | A mathematical model for supercooling process and its application to frazil ice evolution |
title_sort | mathematical model for supercooling process and its application to frazil ice evolution |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10086004/ https://www.ncbi.nlm.nih.gov/pubmed/37037896 http://dx.doi.org/10.1038/s41598-023-33097-z |
work_keys_str_mv | AT yangdeming amathematicalmodelforsupercoolingprocessanditsapplicationtofraziliceevolution AT lianjijian amathematicalmodelforsupercoolingprocessanditsapplicationtofraziliceevolution AT zhaoxin amathematicalmodelforsupercoolingprocessanditsapplicationtofraziliceevolution AT houqingzhi amathematicalmodelforsupercoolingprocessanditsapplicationtofraziliceevolution AT chenyunfei amathematicalmodelforsupercoolingprocessanditsapplicationtofraziliceevolution AT zhangyue amathematicalmodelforsupercoolingprocessanditsapplicationtofraziliceevolution AT yangdeming mathematicalmodelforsupercoolingprocessanditsapplicationtofraziliceevolution AT lianjijian mathematicalmodelforsupercoolingprocessanditsapplicationtofraziliceevolution AT zhaoxin mathematicalmodelforsupercoolingprocessanditsapplicationtofraziliceevolution AT houqingzhi mathematicalmodelforsupercoolingprocessanditsapplicationtofraziliceevolution AT chenyunfei mathematicalmodelforsupercoolingprocessanditsapplicationtofraziliceevolution AT zhangyue mathematicalmodelforsupercoolingprocessanditsapplicationtofraziliceevolution |