Drag-minimizing spore/pollen-mimicking microparticles for enhanced pulmonary drug delivery: CFD and experimental studies

Ali, Alaa M.; Dena, Ahmed S. Abo; Yacoub, Magdi H.; El‐Sherbiny, Ibrahim M.

doi:10.1016/j.jddst.2021.102960

Cited by 1 publication

(1 citation statement)

References 14 publications

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“…In the past, many researchers have attempted to analyze the complex flow of organisms such as pollen, which has also inspired the research in this paper. Mazinani et al [5] conducted fluid dynamics (CFD) simulations in Ansys Fluent [6] software to predict pollen motion flow, while Alaa et al [7] established a CFD model to calculate the resistance of different fungal spores and pollen grains, in order to understand the relationship between their fluidity and pathogenicity. Further, Cresswell et al [8] used CFD and wind tunnel experiments to study the aerodynamic interaction between flowers and pollen suspensions.…”

Section: Introductionmentioning

confidence: 99%

Physics-Based Modeling and Fluttering Dynamic Process Simulation for Catkins

Zhang,

Yang,

et al. 2023

Forests

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Flight simulation of catkins using computer technology helps their prevention and control. However, this is a challenging task due to the complex characteristics, and irregular shapes of catkins, while existing methods mainly focus on rain and snow, which are not suitable for catkins. In this paper, we propose a physics-based algorithm for the dynamic simulation of fluttering catkins. Our approach includes an L-system based 3D modeling method for simulating the natural phenomena of the catkin. We consider the motion of wind, free fall of catkins, and the dynamics of catkins under the joint action of attraction between them, while adhering to the physical motion law of catkins. To provide wind force, we first establish a three-dimensional wind field based on Boltzmann’s equation. We then use the kernel function idea to calculate the attraction force between catkins and finally update the position of the catkin. We incorporate the phenomena of collision and adhesion, attraction, and accumulation of catkins while simulating motion states depending on the adjusted wall height and ground humidity parameters. Our approach overcomes limitations of previous models by achieving good simulation while using relatively less code to simulate various realistic motion states. According to our users’ study, more than 71% of users found the simulation results to be acceptable, authentic, and realistic, confirming the authenticity of our simulation. Our method can generate highly realistic effects, significantly improving efficiency by several orders of magnitude compared to manual modeling. In addition, it can effectively simulate the dynamics of catkins in different scales, providing a decision-making reference for catkin control.

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Section: Introductionmentioning

confidence: 99%