Simulation of two-dimensional floc growth using improved DLA model

Qiu, Zumin; Dong-jing, Liu; Zongjian, He; Wu, Yanfen

doi:10.1109/ccieng.2011.6008004

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…The classical DLA simulation is carried out in the following steps [26,27], and depicted in Figure 1a. First, place a fixed "seed" particle (the seed radius is R 0 ) in the center of a square divided into an L × L grid (or a sphere divided into an L × L × L grid) and draw a large circle (or a big sphere) centering around the "seed" particle; the radius of the circle (or the sphere) is the so-called launch radius (R e ).…”

Section: Modelmentioning

confidence: 99%

“…On the contrary, the motion energy of the particles gradually increases with the rising finite motion step and, therefore, it is easier for the particles to collide into the "seed" particle or clusters. The energy of the motion particles may not entirely dissipate away before they coagulate, contributing to the generation of more compact aggregates, leading to the increase in fractal dimensions and the decrease in porosities [26,27]. …”

Section: Effect Of Finite Motion Stepmentioning

confidence: 99%

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Fractal Simulation of Flocculation Processes Using a Diffusion-Limited Aggregation Model

Liu

Zhang

et al. 2017

Fractal Fract

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Abstract:In flocculation processes, particulates randomly collide and coagulate with each other, leading to the formation and sedimention of aggregates exhibiting fractal characteristics. The diffusion-limited aggregation (DLA) model is extensively employed to describe and study flocculation processes. To more accurately simulate flocculation processes with the DLA model, the effects of particle number (denoting flocculation time), motion step length (denoting water temperature), launch radius (representing initial particulate concentration), and finite motion step (representing the motion energy of the particles) on the morphology and structure of the two-dimensional (2D) as well as three-dimensional (3D) DLA aggregates are studied. The results show that the 2D DLA aggregates possess conspicuous fractal features when the particle number is above 1000, motion step length is 1.5-3.5, launch radius is 1-10, and finite motion step is more than 3000; the 3D DLA aggregates present clear fractal characteristics when the particle number is above 500, the motion step length is 1.5-3.5, the launch radius is 1-10, and the finite motion step exceeds 200. The fractal dimensions of 3D DLA aggregates are appreciably higher than those of 2D DLA aggregates.

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Section: Modelmentioning

confidence: 99%

Section: Effect Of Finite Motion Stepmentioning

confidence: 99%

Fractal Simulation of Flocculation Processes Using a Diffusion-Limited Aggregation Model

Liu

Zhang

et al. 2017

Fractal Fract

Self Cite

View full text Add to dashboard Cite

show abstract

“…And it has been applied in many fields such as fractal growth of floc and the construction of quasi-scale-free geographically embedded networks. 21,22 In the previous earlobe modeling studies, each biological tissue is often simplified into a uniform layer, and the layers are assumed to be ordered and aligned, including blood. Such model is relatively simple and ideal, which may lead to inaccurate measurement and estimation of blood glucose concentrations.…”

Section: D Earlobe Model With Diffusion Limited Aggregation Methodsmentioning

confidence: 99%

Non‐invasive microwave blood glucose monitoring based on the diffusion limited aggregation earlobe model

Yang

Xiao

et al. 2022

Int J RF Mic Comp-Aid Eng

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Daily blood glucose monitoring is important for the disease control of diabetic patients. A 3D earlobe model optimized using the DLA method for modeling the continuity and complexity of blood distribution was designed and tested. Compared with the simple layered structure, the DLA method can better take into account the effects of different locations of blood distribution and blood volume on microwave signal transmission. The method of auxiliary differential equations is also combined into a finite-difference time-domain procedure to simulate the dispersion properties of simulated biological tissues, creating a more realistic simulation environment for non-invasive glucose monitoring.The DLA model is fabricated using 3D printing technology. The detection technique is based on the S 11 unwrapped phase and has a maximum detection sensitivity of 0.0198 dB per mg/dL in the ultra-wideband range of 8.0-10.0 GHz, with a prediction error of 8% or less for blood glucose levels.

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Bio-inspired hierarchical structure of polyaniline in the pore surface of polymer film through interfacial polymerization as a smart material sensitive to pH

Kulshrestha

Shin

Falak

et al. 2023

European Polymer Journal

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Simulation of two-dimensional floc growth using improved DLA model

Cited by 3 publications

References 5 publications

Fractal Simulation of Flocculation Processes Using a Diffusion-Limited Aggregation Model

Fractal Simulation of Flocculation Processes Using a Diffusion-Limited Aggregation Model

Non‐invasive microwave blood glucose monitoring based on the diffusion limited aggregation earlobe model

Bio-inspired hierarchical structure of polyaniline in the pore surface of polymer film through interfacial polymerization as a smart material sensitive to pH

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