CFD modelling to analyze the droplets deposition behavior on vibrating rice leaves

Qiu, Wei; Guo, Hongbin; He, Zheng; Cao, Yubin; Lv, Xiaolan; Fang, Jie; Zhai, Changyuan; Yu, Hongfeng

doi:10.1016/j.compag.2022.107330

Cited by 12 publications

(5 citation statements)

References 29 publications

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“…[44][45][46] However, in actual spraying, droplets are complex mixed solutions. 26 The solution contains pesticide carriers (particles), and the content of pesticide carriers (particles) varies in different concentrations of the solution. Most of the previous studies did not consider the influence of particles on the deposition of droplets impacting leaves.…”

Section: Discussionmentioning

confidence: 99%

“…They studied the deposition of spray droplets on rice leaves through a validated simulation model and proposed the best parameters for air spray. 26 Sun et al used the CFD discrete phase model (DPM) to analyze droplet deposition characteristics under different conditions through particle tracking. 27 Liu and Luo integrated CFD and DPM to analyze bubble tail flow behavior and particle deposition in fluidized beds.…”

Section: Introductionmentioning

confidence: 99%

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Understanding dilution effects on particle‐containing pesticide droplets deposition on rice leaf via developing CFD‐VOF‐DPM model

Chaoxi,

Yubin,

Yunfu

et al. 2024

Pest Management Science

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BACKGROUNDPesticide dilution is one of the essential aspects of plant protection. However, the effect of dilution on the deposition characteristics of pesticide droplets containing particulate additives on crop leaf surfaces remains unclear and warrants further research. Herein, a validated computational fluid dynamics (CFD)‐volume of fluid (VOF)‐discrete phase model (DPM) numerical model was developed to analyze the influence of particle content on the deposition behavior of droplets on the leaf surface comparatively, taking into account the particle content of different diluted thifluzamide solutions. Additionally, the study aimed to analyze further the kinetic behavior of pesticide droplets landing on rice leaves across different dilution conditions.RESULTSPesticide droplets diluted 100‐fold had a lower retraction rate during spreading than particle‐free droplets, so the solution is more easily deposited in the leaves. Moreover, the low dilution (high concentration) increased the critical adhesion rate between droplets and rice leaves, inhibiting the bouncing of droplets on the leaf surface, thus promoting their effective deposition on the surface. In addition, low dilution (high concentration) is not conducive to spreading droplets when the impact velocity is high, and it also results in a large amount of pesticide use.CONCLUSIONThe actual application process can be through understanding the dilution factor of the configured pesticide solution, and reasonable adjustment of the nozzle pressure can effectively improve the utilization rate of pesticides and reduce the pollution brought by pesticides to the environment. These results provide an essential reference for studying pesticide droplet deposition characteristics, including rice plant protection and spraying technology. © 2024 Society of Chemical Industry.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Understanding dilution effects on particle‐containing pesticide droplets deposition on rice leaf via developing CFD‐VOF‐DPM model

Chaoxi,

Yubin,

Yunfu

et al. 2024

Pest Management Science

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“…It is then calculated that

. Previous research shows that E = 272.5 MPa ( Cui et al., 2023 ) and R = 1 mm ( Qiu et al., 2022 ). Aqueous herbicide is used in practice such that ρ = 1,000 kg/m³ and G = 0.0003 N ( Lauderbaugh and Holder, 2021 ).…”

Section: Methodsmentioning

confidence: 95%

An intelligent spraying system for weeds in wheat fields based on a dynamic model of droplets impacting wheat leaves

Xie,

Song,

Wen

et al. 2024

Front. Plant Sci.

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IntroductionTargeted herbicide application refers to precise application of herbicides in weed-infested areas according to the location and density of farmland weeds. At present, targeted herbicide application in wheat fields generally faces problems including the low herbicide adhesion rate, leading to omission and excessive loss of herbicides.MethodsTo solve these problems, changes in the impact force of herbicide and the weed leaves in the operation process of a spraying system were studied from the interaction between weeds and herbicides applied. A dynamic model of weed leaves was established. On this basis, the research indicated that the herbicide adhesion rate is highest under spraying pressure of 0.4 MPa and flow rate of 0.011 kg/s when the spray height is 300 mm. To study the dynamic deformation of weed leaves and the distribution of liquid herbicides in the external flow field under weed-herbicide interaction, a dynamic simulation model of herbicide application was built using the finite element method.Results and DiscussionThe results show that when the spray height is 300 mm, the maximum weed leaf deformation index (LDI) is 0.43 and the velocity in the external flow field is 0 m/s under spraying pressure of 0.4 MPa and flow rate of 0.011 kg/s. This finding indicates that the herbicide is not splashed elsewhere and the turbulence intensity in the weed area is 2%, implying steady flow of the herbicide, most of which can be retained on weed leaves. Field test results of application quality of the herbicide show that the maximum LDI is 0.41 and the coverage of the herbicide in the sheltered area below the leaves is 19.02% when the spraying pressure is 0.4 MPa, flow rate is 0.011 kg/s, and spray height is 300 mm. This solves the problem of a low rate of utilization of herbicides because the herbicide passes through weed plants, and achieves the precision herbicide application in wheat fields.

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“…In addition to considering the inherent properties of the surface and droplet, the presence of vibrations in flexible surfaces introduces a significant level of complexity to the dynamic behavior of droplet impact. − The change of droplet behavior is intricately influenced by surface bending and vibration, thereby converting the kinetic energy of droplet impact into surface vibration energy. Upon impact, the flexible surface undergoes vibrations at a specific frequency and amplitude. − Due to the energy loss caused by vibration, surface energy can be transferred and dissipated, which in turn affects the dynamic behavior after impact.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Behavior of Viscous Droplets Impact on a Flexible Mesh Surface

Gu,

Jia,

Zhou

et al. 2024

Langmuir

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The dynamic behavior of a viscous droplet impacting a flexible mesh surface with a fixed end is studied by high-speed photography in this work. Our experimental results reveal that surface vibration occurs when the viscous droplet impacts the flexible mesh surface. Simultaneously, the droplet spreads on the upper surface and penetrates into the mesh surface, resulting in a decrease in the spreading diameter on the upper surface. On the lower surface, the droplet elongates and forms multiple ligaments. Notably, different dynamic behaviors are observed when the droplet impacts surfaces with varying Weber (We) numbers due to viscous dissipation and surface vibration. However, as the impact position deviates from the fixed end, the surface vibrational amplitude increases, leading to a decreased diffusion range of the droplet on the lower surface. In addition, the vibration amplitude significantly enhances with increase of the We number. The vibration induces stretching and eventual rupture of the cardinal ligament under specific conditions. The first breaking time of the cardinal ligament delays with the decrease of the We number. As the impact position moves away from the fixed end, this situation is enhanced. Especially, when the stretching direction of the ligament is inconsistent with the vibration direction of the surface, the vibration has a great influence on the stretching behavior of the cardinal ligament.

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CFD modelling to analyze the droplets deposition behavior on vibrating rice leaves

Cited by 12 publications

References 29 publications

Understanding dilution effects on particle‐containing pesticide droplets deposition on rice leaf via developing CFD‐VOF‐DPM model

Understanding dilution effects on particle‐containing pesticide droplets deposition on rice leaf via developing CFD‐VOF‐DPM model

An intelligent spraying system for weeds in wheat fields based on a dynamic model of droplets impacting wheat leaves

Dynamic Behavior of Viscous Droplets Impact on a Flexible Mesh Surface

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