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Computational fluid dynamics simulation analysis of the effect of curved rice leaves on the deposition behaviour of droplets
BACKGROUND: Although previous studies on the droplet deposition behaviour of rice leaves have modelled the leaves as flat surface structures, their curved surface structures actually have a significant effect on droplet deposition. RESULTS: In this paper, the statistical distribution of the coordina...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10617242/ https://www.ncbi.nlm.nih.gov/pubmed/37907992 http://dx.doi.org/10.1186/s13007-023-01082-2 |
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author | Zheng, He Sun, Hao Cao, Yubin Lv, Xiaolan Wang, Chaoxi Chen, Yunfu Yu, Hongfeng Qiu, Wei |
author_facet | Zheng, He Sun, Hao Cao, Yubin Lv, Xiaolan Wang, Chaoxi Chen, Yunfu Yu, Hongfeng Qiu, Wei |
author_sort | Zheng, He |
collection | PubMed |
description | BACKGROUND: Although previous studies on the droplet deposition behaviour of rice leaves have modelled the leaves as flat surface structures, their curved surface structures actually have a significant effect on droplet deposition. RESULTS: In this paper, the statistical distribution of the coordinate parameters of rice leaves at the elongation stage was determined, computational fluid dynamics (CFD) simulation models of droplet impact on rice leaves with different curvature radii were built, and the effect of leaf curvature radius on the deposition behaviour and spreading diameter of droplets on rice leaves was studied using validated simulation models. The results showed that the average relative errors of the CFD simulation models were in the range of 2.23–9.63%. When the droplets struck the rice leaves at a speed of 4 m/s, the 50 μm droplets did not bounce within the curvature radii of 25–120 cm, the maximum spreading diameters of 200 and 500 μm droplets that just adhered to the leaves were 287 and 772 μm, respectively. The maximum spreading diameters of 50, 200, and 500 μm droplets that just split were 168, 636, and 1411 μm, respectively. As the curvature radii of the leaves increased, the maximum spreading diameter of the droplets gradually decreased, and droplet bouncing was more likely to occur. However, a special case in which no significant change in the maximum spreading diameter arose when 50 μm droplets hit a leaf with a curvature radius exceeding 50 cm. CONCLUSION: Splitting generally occurred for large droplets with a small curvature radius and small tilt angle; bouncing generally occurred for large droplets with a large curvature radius and large tilt angle. When the droplet was small, the deposition behaviour was mostly adhesion. The change in spreading diameter after stabilisation was similar to the change in maximum spreading diameter, where the spreading diameter after stabilisation greatly increased after droplet splitting. This paper serves as a reference for the study of pesticide droplet deposition and its application in rice-plant protection. |
format | Online Article Text |
id | pubmed-10617242 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106172422023-11-01 Computational fluid dynamics simulation analysis of the effect of curved rice leaves on the deposition behaviour of droplets Zheng, He Sun, Hao Cao, Yubin Lv, Xiaolan Wang, Chaoxi Chen, Yunfu Yu, Hongfeng Qiu, Wei Plant Methods Research BACKGROUND: Although previous studies on the droplet deposition behaviour of rice leaves have modelled the leaves as flat surface structures, their curved surface structures actually have a significant effect on droplet deposition. RESULTS: In this paper, the statistical distribution of the coordinate parameters of rice leaves at the elongation stage was determined, computational fluid dynamics (CFD) simulation models of droplet impact on rice leaves with different curvature radii were built, and the effect of leaf curvature radius on the deposition behaviour and spreading diameter of droplets on rice leaves was studied using validated simulation models. The results showed that the average relative errors of the CFD simulation models were in the range of 2.23–9.63%. When the droplets struck the rice leaves at a speed of 4 m/s, the 50 μm droplets did not bounce within the curvature radii of 25–120 cm, the maximum spreading diameters of 200 and 500 μm droplets that just adhered to the leaves were 287 and 772 μm, respectively. The maximum spreading diameters of 50, 200, and 500 μm droplets that just split were 168, 636, and 1411 μm, respectively. As the curvature radii of the leaves increased, the maximum spreading diameter of the droplets gradually decreased, and droplet bouncing was more likely to occur. However, a special case in which no significant change in the maximum spreading diameter arose when 50 μm droplets hit a leaf with a curvature radius exceeding 50 cm. CONCLUSION: Splitting generally occurred for large droplets with a small curvature radius and small tilt angle; bouncing generally occurred for large droplets with a large curvature radius and large tilt angle. When the droplet was small, the deposition behaviour was mostly adhesion. The change in spreading diameter after stabilisation was similar to the change in maximum spreading diameter, where the spreading diameter after stabilisation greatly increased after droplet splitting. This paper serves as a reference for the study of pesticide droplet deposition and its application in rice-plant protection. BioMed Central 2023-10-31 /pmc/articles/PMC10617242/ /pubmed/37907992 http://dx.doi.org/10.1186/s13007-023-01082-2 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Zheng, He Sun, Hao Cao, Yubin Lv, Xiaolan Wang, Chaoxi Chen, Yunfu Yu, Hongfeng Qiu, Wei Computational fluid dynamics simulation analysis of the effect of curved rice leaves on the deposition behaviour of droplets |
title | Computational fluid dynamics simulation analysis of the effect of curved rice leaves on the deposition behaviour of droplets |
title_full | Computational fluid dynamics simulation analysis of the effect of curved rice leaves on the deposition behaviour of droplets |
title_fullStr | Computational fluid dynamics simulation analysis of the effect of curved rice leaves on the deposition behaviour of droplets |
title_full_unstemmed | Computational fluid dynamics simulation analysis of the effect of curved rice leaves on the deposition behaviour of droplets |
title_short | Computational fluid dynamics simulation analysis of the effect of curved rice leaves on the deposition behaviour of droplets |
title_sort | computational fluid dynamics simulation analysis of the effect of curved rice leaves on the deposition behaviour of droplets |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10617242/ https://www.ncbi.nlm.nih.gov/pubmed/37907992 http://dx.doi.org/10.1186/s13007-023-01082-2 |
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