• The Journal of the Korea Contents Association
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• v.20 no.12
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• pp.537-546
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• 2020

This study deals with the development and improvement of a particle dispersion model for quick response to water pollutant accidents. The developed model is based on the shear dispersion theory where vertical mixing is done by step by step mixing by vertical and molecular diffusion algorithm. For the quick response to chemical accidents, an algorithm for multi-core modeling for the particle dispersion model is applied. After the application of multi-core operation using OpenMP directives to the model, the relation for the calculation time and particle size were determined along with the number of cores used for parallel programming to determine the model time for chemical accident responses. The results showed the adequate conditions for the modeling of chemical accidents for quick response and to increase the applicability of the model.

• Food Science and Preservation
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• v.22 no.5
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• pp.683-689
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• 2015

Response surface methodology (RSM) is a statistical procedure frequently used for optimization studies. The purpose of this study was to determine the optimal spray drying condition for manufacturing Sikhye powder using RSM. Independent variables included the additive contents of maltodextrin (MD), inlet temperature, and velocity of sample feed velocity. The dependent variables were water uptake (g), solubility (%) and particle size (${\mu}m$). Regression models describing the changes of water uptake (g), solubility (%) and particle size (${\mu}m$) with respect to the independent variables were statistically significant with coefficients of determination, $R^2$, greater than 0.9. The results indicated that the inlet temperature of the spray dryer was the most important independent variable that affected the water uptake (g), while the additive content of MD and the sample feed velocity had maximum effects on the solubility (%) and particle size (${\mu}m$) of the Sikhye powder, respectively. The optimum final product was expected to have the lowest possible water uptake (g) and particle size (${\mu}m$) but the highest possible solubility (%). In conclusion, the best spray drying conditions were as follows: additive MD content, 22%; inlet temperature, $140^{\circ}C$ ; and spray dryer sample feed velocity, 51 mL/min.

• Journal of Pharmaceutical Investigation
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• v.38 no.1
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• pp.1-8
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• 2008

Planetary ball mill was used to decrease and control the particle size of excipients. The effects of the weight of sample and the revolution number of mill, and grinding time on the particle size of the ground sample were analyzed by response surface methodology. The optimum conditions for the milling of microcrystalline cellulose were 38.82 g of the weight of sample and 259 rpm of the revolution number of mill, and 45 minutes of grinding time. The predicted value of the particle size at the these conditions was $19.02{\mu}m$, of which the experimental value at the similar conditions was $18.68{\mu}m$. The tensile strength of tablets of single-component powders, such as microcrystalline cellulose, hydroxypropylmethyl cellulose and starch, binary mixtures and ground binary mixtures of these powder were measured at various relative densities. It was found that the logarithm of the tensile strength of the tablets was proportional to the relative density. A simple model, based upon Ryshkewitch-Duckworth equation that was originally proposed for porous materials, has been developed in order to predict the relationship between the tensile strength and relative density of ground binary tablets based on the properties of the constituent single-component powders. The validity of the model has been verified with experimental results for ground binary mixtures. It has demonstrated that this model can well predict the tensile strength of ground binary mixtures based upon the properties of single-component powders, such as true density, and the compositions. When the tensile strength of the mixture of microcrystalline cellulose hydroxypropylmethyl cellulose (90:10) and the ground mixture of them were compared, the tensile strength of the ground mixture decreased widely from 45.3 to 5.6% compared to the mixture in case the relative density of tablets was in the range of $0.7{\sim}0.9$. When the tensile strength of the mixture of microcrystalline cellulose starch (80:20) and the ground mixture of them were compared, the tensile strength of the ground mixture decreased widely from 31.0 to 11.6% compared to the mixture in case the relative density of tablets was in the range of $0.7{\sim}0.9$.

• Journal of the Korean Geotechnical Society
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• v.32 no.1
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• pp.45-53
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• 2016

Generally, conventional transport infrastructures consist of compacted granular materials. Their stiffness and response greatly depend on the particle sizes and distributions, and application of loading on the surface over a foundation may induce deformation in both the surface and the underlying foundations. Therefore, a better understanding of the deformation characteristics on granular materials and the prediction are needed. For this reason, an attempt to evaluate and predict deformation of coarse materials based on the discrete element method is presented in this paper. An algorithm for particle distribution curve analysis was formulated and incorporated into the discrete element program. The results show that the discrete element model with particle distribution curve is suitable for estimating stress deformation in a pre-peak response. Unlike conventional uniform or random particle distribution, the response can be obtained by the use of the proper model and approach.

• Journal of the Korean Applied Science and Technology
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• v.36 no.2
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• pp.434-447
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• 2019

Polyethylene glycol (PEG) is widely used in cosmetics as a surfactant, detergent and emulsifier. During the manufacturing process, 1,4-dioxane, which is toxic to humans, can be produced as a by-product by dimerization of ethylene oxide. As consumers' interest in cosmetic ingredients has increased, the need for safe emulsion research without PEG ingredients in the personal care market has increased. With increasing consumer interest in cosmetic ingredients, the need for safer emulsion research without the PEG ingredient in the personal care market has increased. In this study, we aimed to develop and stabilize nanoemulsion formulation without PEG. Response Surface Methodology (RSM) was used to develop optimized nanoemulsion formulations. Surfactant content (2~4%), oil content (4~8%) and polyol content (12~24%) were set as independent variables as a result of preliminary experiments for determining independent variables and ranges. The particle size, zeta potential, turbidity, and polydispersity index of the formulation were measured as response variables. As a result of measurement of the prepared nanoemulsion by FIB (Focused ion beam), spherical particles were found to have a size distribution of 100 to 200 nm. The stability of each formulation was evaluated for 30 days at each temperature ($4^{\circ}C$, $25^{\circ}C$, and $45^{\circ}C$). The optimal formulation considering the optimum particle size, turbidity, polydispersity index and zeta potential was found to be surfactant (2%), oil (8%) and polyol (24%).

• 한국정보디스플레이학회:학술대회논문집
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• 2009.10a
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• pp.893-895
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• 2009

In this paper, we described the unique and novel method to prepare two kinds of electro-active particles, black and white particles with different polarity. The surface of the particles was characterized to be uniform and clean by adopting spray dryer as a tool for genesis of particles; neither surfactants nor high dielectric medium like water was employed during particle preparation step. The other purpose of this study is to investigate the factors that contribute high driving voltage of particlebased display like QR-LPD. We extracted parameters interaction between particle and electrode, and between oppositely charged particles. Here we reported an excellent behavior of particle-based display that showed low operating voltage, high contrast ratio as high as 8:1 without scarification of quick response time. By optimizing the particle size, charge per mass, selection of external additive sets, a lower driving voltage as low as 40V for the particles with $10{\mu}m$ volume average diameter was obtained.

• The Korean Journal of Food & Health Convergence
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• v.5 no.5
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• pp.11-25
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• 2019

Extraction of oil from Moringa oleifera seed using Response Surface Methodology (RSM) was investigated. Effects of three factors namely: sample mass, particle size and extraction time on the response, Moringa oleifera a volume extracted, were determined. The Box-Behnken design of RSM was employed which resulted in 15 experimental runs. Extraction was carried out in a 250 ml Soxhlet extractor with Hexane and Ethanol as solvent. The Moringa oleifera seed powder was packed inside a muslin cloth placed in a thimble of the Soxhlet extractor. The extraction was carried out at 60℃ using thermostatic heating mantle. The solvent in the extracted oil was evaporated and the resulting oil further dried to constant weight in the oven. This study demonstrates that Moringa oleifera oil can be extracted from its seed using ethanol and acetone as extraction solvent. The optimum process variables for both solvent (ethanol and acetone) was determined at sample weight of 40 g, particle size of 325 ㎛ and extraction time of 8 hours. It can be deduced that using acetone as solvent produces a higher yield of oil at the same optimum variable conditions compared to when ethanol was used.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 2005.10a
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• pp.476-479
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• 2005

In this study, the process parameters in powder compaction are optimized for getting high relative densities. To find optimized parameters, the analytic models of powder compaction are firstly prepared by 2-dimensional rod arrays with random green densities using a quasi-random multi-particle array. Then, using finite element method, the changes in relative densities are analyzed by varying the size of the particle, the amplitude of cyclic compaction, and the coefficient of friction, which influence the relative density in cyclic compactions. After the analytic function of relative density associated process parameters are formulated by aid of the response surface method, the optimal conditions in powder compaction process are found by the grid search method.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 2007.10a
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• pp.344-347
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• 2007

For modeling the non-periodic and randomly scattered powder particles, the quasi-random multi-particle array is introduced. The multi-scale process simulation, which enables to formulate a regression model with a response surface method, is performed by employing a homogenization method. The size of ${Al_2}{O_3}$ particle, amplitude of cyclic compaction pressure, and friction coefficient are considered as optimal process parameters. The optimal conditions of process parameters providing the highest relative density are finally found by using the grid search method.

• Korean Journal of Materials Research
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• v.21 no.4
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• pp.207-211
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• 2011

Ni 8 wt.%-doped tin oxide ($SnO_2$) thick films were fabricated into gas sensors by the method of screen printing onto alumina substrates. The particle size of $SnO_2$ was controlled by changing the ball-mill time between 0~120 h. The structural and morphological properties of these thick films were investigated using X-ray diffraction and scanning electron microscopy. The structural properties of $SnO_2$ powders showed a tetragonal phase with (110) dominant orientation. The particle size of the $SnO_2$:Ni powders after ball-mill of 120 h was about 0.05 ${\mu}m$. The gas sensitivity (S = Rg/Ra) to 5 ppm $CH_4$ gas and $CH_3CH_2CH_3$ gas was measured at room temperature by comparing the resistance in air (Ra) with that of the target gases (Rg). The sensitivity of the $SnO_2$ gas sensors was enhanced by increasing the ball-mill time. There was an association between the sensitivity of both the $CH_4$ gas and the $CH_3CH_2CH_3$ gas and the particle size of the $SnO_2$. $SnO_2$ gas sensors prepared by 72 h ball-mill showed a sensitivity of about 13 to 5 ppm $CH_4$ gas and $CH_3CH_2CH_3$ gas. The response time of the $SnO_2$:Ni gas sensors to the $CH_4$ gas was about 20 seconds.