Spray agglomeration of polymer particles: Influence of spray parameters on shape factors

Düsenberg, Björn; Singh, Abhinandan Kumar; Schmidt, Jochen; Bück, Andreas

doi:10.1016/j.powtec.2023.118491

Cited by 3 publications

(2 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fractals were originally introduced by Mandelbrot to describe the fractal behaviors of similar geometries in disordered and irregular objects [27], such as coastlines [28], porous media [29], and biological structures [30]. Fractal theory also can be used to describe the irregular sizes and shape distributions of atmospheric particles [31][32][33][34]. It has the unique advantage of describing the different condensed states, shapes, and distribution of the particles in the environment [31], such as through using the fractal dimension to describe the morphology and size of combustion soot particles [32], the fractal description of finely ground particles of natural quartz using the particle size [33], and the expression of the spray agglomeration of polymer particles [34].…”

Section: Introductionmentioning

confidence: 99%

“…Fractal theory also can be used to describe the irregular sizes and shape distributions of atmospheric particles [31][32][33][34]. It has the unique advantage of describing the different condensed states, shapes, and distribution of the particles in the environment [31], such as through using the fractal dimension to describe the morphology and size of combustion soot particles [32], the fractal description of finely ground particles of natural quartz using the particle size [33], and the expression of the spray agglomeration of polymer particles [34]. Fractal theory and fractal parameters can provide more accurate descriptions of particle morphology, which can provide specific numerical representations for irregular descriptions.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Distribution and Fractal Characteristics of Outdoor Particles in High-Rise Buildings Based on Fractal Theory

Liu,

Yu,

Leng

et al. 2023

Fractal Fract

View full text Add to dashboard Cite

It is of great significance to understand the particle distribution characteristics at different heights to effectively control particle pollution. Based on fractal theory, the fractal dimension of outdoor particles in a high-rise building in Xi’an and its relationship with the concentration of particles with different particle sizes are discussed and analyzed in this paper. The results indicate that the atmosphere in Xi’an is mainly composed of fine particles and that the average proportion of particles ranging from 0 to 1.0 µm is approximately 99.885% of the total particulates. The fractal dimension of particles in the atmosphere at different heights ranges from 5.014 to 5.764, with an average fractal dimension of 5.456. In summer, the fractal dimension of the outdoor particles on the 17th floor was the largest, at 5.764. The fractal dimension in summer is relatively high, being 0.158 higher than that in winter on average. The larger the fractal dimension, the higher the proportion of fine particles. In addition, the fractal dimension can characterize the adsorption of toxic and harmful gases by particles well. It provides parameter support for understanding particle distribution and the effective control of atmospheric particles at different heights and application values.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Distribution and Fractal Characteristics of Outdoor Particles in High-Rise Buildings Based on Fractal Theory

Liu,

Yu,

Leng

et al. 2023

Fractal Fract

View full text Add to dashboard Cite

show abstract

Experimental and numerical determination of the lubrication force between a spherical particle and a micro-structured surface

Strohner,

Antonyuk

2023

Advanced Powder Technology

View full text Add to dashboard Cite

Mining association rules between the granulation feasibility and physicochemical properties of aqueous extracts from Chinese herbal medicine in fluidized bed granulation

Fu,

Luo,

Liu

et al. 2023

MBE

View full text Add to dashboard Cite

<abstract> Fluidized bed granulation (FBG) is a widely used granulation technology in the pharmaceutical industry. However, defluidization caused by the formation of large aggregates poses a challenge to FBG, particularly in traditional Chinese medicine (TCM) due to its complex physicochemical properties of aqueous extracts. Therefore, this study aims to identify the complex relationships between physicochemical characteristics and defluidization using data mining methods. Initially, 50 types of TCM were decocted and assessed for their potential influence on defluidization using a set of 11 physical properties and 10 chemical components, utilizing the loss rate as an evaluation index. Subsequently, the random forest (RF) and Apriori algorithms were utilized to uncover intricate association rules among physicochemical characteristics and defluidization. The RF algorithm analysis revealed the top 8 critical factors associated with defluidization. These factors include physical properties like glass transition temperature (Tg) and dynamic surface tension (DST) of DST100ms, DST1000ms, DST10ms and conductivity, in addition to chemical components such as fructose, glucose and protein contents. The results from Apriori algorithm demonstrated that lower Tg and conductivity were associated with an increased risk of defluidization, resulting in a higher loss rate. Moreover, DST100ms, DST1000ms and DST10ms exhibited a contrasting trend in the physical properties Specifically, defluidization probability increases when Tg and conductivity dip below 29.04℃ and 6.21 ms/m respectively, coupled with DST10ms, DST100ms and DST1000ms values exceeding 70.40 mN/m, 66.66 mN/m and 61.58 mN/m, respectively. Moreover, an elevated content of low molecular weight saccharides was associated with a higher occurrence of defluidization, accompanied by an increased loss rate. In contrast, protein content displayed an opposite trend regarding chemical properties. Precisely, the defluidization likelihood amplifies when fructose and glucose contents surpass 20.35 mg/g and 34.05 mg/g respectively, and protein concentration is less than 1.63 mg/g. Finally, evaluation criteria for defluidization were proposed based on these results, which could be used to avoid this situation during the granulation process. This study demonstrated that the RF and Apriori algorithms are effective data mining methods capable of uncovering key factors affecting defluidization. </abstract>

show abstract

Spray agglomeration of polymer particles: Influence of spray parameters on shape factors

Cited by 3 publications

References 42 publications

Distribution and Fractal Characteristics of Outdoor Particles in High-Rise Buildings Based on Fractal Theory

Distribution and Fractal Characteristics of Outdoor Particles in High-Rise Buildings Based on Fractal Theory

Experimental and numerical determination of the lubrication force between a spherical particle and a micro-structured surface

Mining association rules between the granulation feasibility and physicochemical properties of aqueous extracts from Chinese herbal medicine in fluidized bed granulation

Contact Info

Product

Resources

About