Influence of the atmospheric boundary layer stability on aerial spraying studied by computational fluid dynamics

Tang, Qing; Zhang, Ruirui; Chen, Liping; Deng, Wei; Xu, Min; Xu, Gang; Li, Longlong

doi:10.1016/j.biosystemseng.2022.01.007

Cited by 7 publications

(3 citation statements)

References 37 publications

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“…The droplets on surfaces were larger than those on the air due to the liquid wetting and droplet overlap on surfaces. This phenomenon can effectively reduce the liquid waste by reducing the number of small droplets that can easily drift out of the target regions and evaporate in the air …”

Section: Resultsmentioning

confidence: 99%

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Adding Konjac Glucomannan for Enhancing the Whole Spraying Performance on Superhydrophobic and Hydrophilic Surfaces

Zhang

et al. 2023

ACS Appl. Mater. Interfaces

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Spraying is a common way to coat solutions onto surfaces evenly. Improving spraying effectiveness can avoid wasting solutions and reduce pollution. In this study, a trace amount of natural polysaccharide, konjac glucomannan (KGM), was added into solutions to regulate the spraying performances including the breakup of liquid jets, size of produced droplets, and collision and spreading of droplets on both superhydrophobic and hydrophilic surfaces. The shear viscosity, extensive viscosity, and surface tension of the KGM solutions were tested. The results of spraying experiments showed that adding KGM inhibited the liquid jet from breaking into small droplets, avoided the breakage of droplets on superhydrophobic surfaces, and promoted the spreading of liquid films on hydrophilic surfaces. The numerical simulation showed the stretching of single macromolecules and quantified the energy stored in molecular chains in a shear-dominated flow field during the spreading of droplets on surfaces and an elongationaldominated flow field during the breakage of a liquid bridge. The storage and dissipation of energy during the stretching and relaxing of KMG macromolecules were important origins of the increase in the colloid viscosity and molecular mechanisms of the effect of the KGM additive on spraying performances. This study provided an understanding and a strategy for optimization and application of spraying additives.

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Section: Resultsmentioning

confidence: 99%

“…This phenomenon can effectively reduce the liquid waste by reducing the number of small droplets that can easily drift out of the target regions and evaporate in the air. 25 2.2. Behaviors of Droplets on Superhydrophobic Surfaces.…”

Section: Breakage Of the Liquid Jet And Size Of Producedmentioning

confidence: 99%

Adding Konjac Glucomannan for Enhancing the Whole Spraying Performance on Superhydrophobic and Hydrophilic Surfaces

Zhang

et al. 2023

ACS Appl. Mater. Interfaces

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“…Very few works have incorporated effects of atmospheric stability on the movement of droplets in agrochemical spraying. [22] Tang et al [23] studied the influence of the atmospheric stability on aerial spraying deposition. The authors observed that droplets sprayed in unstable conditions disperse more easily and tend to move at higher altitudes than those sprayed in stable conditions.…”

Section: Introductionmentioning

confidence: 99%

Droplet deposition of agrochemical spraying: Comparison of results from a random‐walk model and CFD simulations

Renaudo,

Bucalá,

Bertin

2024

Can J Chem Eng

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The effectiveness of agricultural spraying processes depends considerably on the ability of the atomized droplets to reach the target site in the desired amount. In this work, two mathematical models to study the trajectories and deposition of atomized droplets are implemented and compared. On the one hand, a computational fluid dynamics (CFD) coupled with discrete phase model (DPM) is implemented to calculate the trajectories of atomized droplets and determine distances at which the droplets are deposited. The continuous phase (atmospheric air) is modelled by continuity, momentum, and energy equations. On the other hand, a Lagrangian random‐walk (LRW) model based on force and energy balances to predict the pulverization process of a nozzle is formulated and implemented in Python. Both models take into account the effects of drag, gravity, buoyancy, and evaporation on individual droplets, as well as the impact of atmospheric stability and dispersion. By tracking a large number of trajectories, meaningful estimates of dispersal statistics can be obtained. The LRW model accurately replicated the trajectories, deposition distances, and final diameters of atomized droplets for three atmospheric stability cases, compared with CFD simulation results. The results of both models agreed that 100 μm droplets were most susceptible to wind‐induced spray drift, depositing at the furthest distances from the nozzle. In addition, 50 μm droplets exhibited a significant tendency to evaporate entirely before reaching the ground. The LRW model is found to be a cost‐effective alternative for estimating spray drift compared to the computationally intensive CFD approach.

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CFD–DEM Applications

Zhou,

Elemam,

Agarwal

et al. 2024

Discrete Element Method for Multiphase Flows With Biogenic Particles

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Influence of the atmospheric boundary layer stability on aerial spraying studied by computational fluid dynamics

Cited by 7 publications

References 37 publications

Adding Konjac Glucomannan for Enhancing the Whole Spraying Performance on Superhydrophobic and Hydrophilic Surfaces

Adding Konjac Glucomannan for Enhancing the Whole Spraying Performance on Superhydrophobic and Hydrophilic Surfaces

Droplet deposition of agrochemical spraying: Comparison of results from a random‐walk model and CFD simulations

CFD–DEM Applications

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