• 대한화장품학회지
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• 제37권1호
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• pp.43-53
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• 2011

여드름 나노화장품(nanocosmetics) 개발을 위하여 azelaic acid-milk nano powder의 nanoencapsulation을 fluid-bed processor로 중심합성계획에 따라 유입공기온도($60{\sim}80^{\circ}C$) 분무속도(0.5 ~ 0.9 mL/min) 및 분무압력(1.2 ~ 2.0 kg/$cm^2$)을 달리하여 나노캡슐(nanoencapsule)을 제조하고, 나노캡슐의 품질특성을 조사하여 회귀분석을 실시하였다. 나노캡슐의 예측된 수율의 최대값은 70.97 %로 수율은 유입공기온도, 분무속도 및 분무압력 에 의해 크게 영향을 받고 있었다. 시료의 입자크기는 유입공기온도가 높고 분무속도가 빠르며, 분무압력이 낮을수록 커지는 것으로 나타났고, 생리식염수에서 나노캡슐의 용출율은 모두 유입공기온도 및 분무속도에 의해서 가장 많은 영향을 받고 있었다. 수분함량은 분무 속도가 증가하고 분무압력이 높아질수록 증가하였고, 수분활성도는 수분함량과 유사한 경향을 나타내었다. 기계적 색도인 L값과 b값은 유입공기온도가 높아질수록 증가하였다. 수율이 높고 입자크기가 작으며, 피부적합성 나노캡슐 제조의 최적조건은 유입공기온도 $67{\sim}73^{\circ}C$, 분무속도 0.6 ~ 0.8 mL/min 및 분무압력 1.8 ~ 2.0 kg/$cm^2$ 범위로 예측되었다. 이상의 예측범위 내의 임의의 점에서실제 실험한 실험치는 반응표면분석법에 의해 예측된 값과 유사한 경향을 보여 도출된 회귀식의 신뢰성을 검증할 수 있었다.

• Journal of Pharmaceutical Investigation
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• 제39권1호
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• pp.29-36
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• 2009

Since the quality of final products is significantly affected by the homogeneity of powder mixture, the powder blending process has been regarded as one of the critical pharmaceutical unit processes, especially for solid dosage forms. Accordingly, the monitoring to determine a blending process' end-point based on a faster and more accurate in-line/on-line analysis has attracted enormous attentions recently. Among various analytical tools, NIR (near-infrared) spectroscopy has been extensively studied for PAT (process analytical technology) system due to its many advantages. In this study, NIR spectroscopy was employed with an optical fiber probe for the in-line monitoring of fluid-bed blending process. The position of the probe, the ratio of binary powder mixture, the powder size differential and the back-flush period of the shaking bag were examined as principal process parameters. During the blending process of lactose and mannitol powders, NIR spectra were collected, corrected, calibrated and analyzed using MSC and PLS method, respectively. The probe position was optimized. A reasonable end-point was predicted as 1,500 seconds based on 5% RSD value. As a consequence, it was demonstrated that the blending process using a fluid-bed processor has several advantages over other methods, and the application of NIRS with an optical fiber probe as PAT system for a fluid-bed blending process could be high feasible.

• 드라이브 ㆍ 컨트롤
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• 제16권3호
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• pp.42-50
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• 2019

3D printing AM processes have advantages in complex shapes, customized fabrication and prototype development stage. However, due to various parameters based on both the machine and the material, the AM process can produce finished output after several trials and errors in the initial stage. As such, minimizing or optimizing negative factors for various parameters of the 3D printing AM process could be a solution to reduce the trial-and-error failures in the early stages of such an AM process. In addition, this can be largely solved through software simulation in the preprocessing process of 3D printing AM process. Therefore, the objective of this study was to investigate a simulation technology for the AM software, especially Ansys Inc. The metal 3D printing AM process, the AM process simulation software, and the AM process simulation processor were examined. Through this study, it will be helpful to understand 3D printing AM process and AM process simulation processor.

• 드라이브 ㆍ 컨트롤
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• 제16권3호
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• pp.51-58
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• 2019

The objective of this study was to investigate a simulation technology for the AM field based on ANSYS Inc.. The introduction of metal 3D printing AM process, and the examining of the present status of AM process simulation software, and the AM process simulation processor were done in the previous study (part 1). This present study (part 2) examined the use of the AM process simulation processor, presented in Part 1, through direct execution of Topology Optimization, Ansys Workbench, Additive Print and Additive Science. Topology Optimization can optimize additive geometry to reduce mass while maintaining strength for AM products. This can reduce the amount of material required for additive and significantly reduce additive build time. Ansys Workbench and Additive Print simulate the build process in the AM process and optimize various process variables (printing parameters and supporter composition), which will enable the AM to predict the problems that may occur during the build process, and can also be used to predict and correct deformations in geometry. Additive Science can simulate the material to find the material characteristic before the AM process simulation or build-up. This can be done by combining specimen preparation, measurement, and simulation for material measurements to find the exact material characteristics. This study will enable the understanding of the general process of AM simulation more easily. Furthermore, it will be of great help to a reader who wants to experience and appreciate AM simulation for the first time.