• 대한기계학회논문집A
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• 제39권10호
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• pp.1011-1019
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• 2015

Insulated gate bipolar transistor (IGBT) 소자는 전동차, 항공기 및 전기 자동차에 가장 많이 사용되는 고전압, 고전력용 전력 반도체이다. 그러나 IGBT 전력소자는 동작 시 발열 온도가 매우 높고, 이로 인해, IGBT 소자의 신뢰성 및 성능에 큰 영향을 미치고 있다. 따라서 발열 문제를 해결하기 위한 IGBT 모듈 패키지의 방열 설계는 매우 핵심적인 기술이며, 특히, 소자가 동작 한계 온도에 올라가지 않도록 방열 설계를 적절히 수행하여야 한다. 본 논문에서는 전동차에 사용되는 1200 A, 3.3 kV 급 IGBT 모듈 패키지의 열 특성에 대해 수치해석을 이용하여 분석하였다. IGBT 모듈 패키지에 사용되는 다양한 재료 및 소재의 두께에 대한 영향을 분석하였으며, 실험계획법을 이용한 최적화 설계를 수행하였다. 이를 통하여 열 저항을 최소화하기 위한 최적의 방열 설계 가이드 라인을 제시하고자 하였다.

• 한국항공우주학회지
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• 제47권3호
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• pp.177-186
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• 2019

풍력 타워는 수직형 풍력터빈의 성능을 향상시키기 위해 사용되어왔다. 하지만 올바르게 설계되지 않은 풍력 타워는 오히려 풍력터빈의 성능을 저하시킬 수 있다. 따라서 본 연구에서는 풍력 타워의 최적화 연구를 수행하였다. 이를 위하여 다음과 같이 6가지의 설계변수가 선택되었다. 즉, 가이드 벽의 외부 및 내부 반경, 스플리터의 적용 여부, 스플리터의 내부 반경, 가이드 벽의 개수 및 원주각도가 선정되었다. 최적화를 위한 목적함수는 풍력타워 내에 설치된 수직형 풍력터빈에서의 주기적인 평균 토크가 사용되었으며, 최적화 과정에서 지엽적인 최적화 결과를 피하기 위하여 실험계획법, 유전자알고리즘 및 인공신경망기법이 사용되었다. 인공신경망은 세대의 증가에 따라 지속적으로 향상하였으며, 수직 풍력터빈의 성능은 독립운전에 비하여 최적화된 풍력 타워 내에서 두 배 이상 향상되었다.

• 한국생산제조학회지
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• 제22권2호
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• pp.248-255
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• 2013

The objective of this study is to optimize the Metal Injection Molding(MIM) process with design of experiments(DOE) and numerical analysis. To derive the optimal process condition, experiment or numerical analysis was performed under various process conditions. To analyze the interaction among influential factors contributing to the temperature at flow front and response surface in MIM, both central point and axial point were added to the full factorial design with 2 levels and 5 factors and then their impacts on response variable in 43 experimental conditions were analyzed and the significance was evaluated. As a result, sprue, runner, and gate were completely filled in about 0.247 seconds after injection, the front part of the green body was filled in about 0.3344 seconds, the green body except gate, etc changed to almost solid state in about 3.29 seconds, the Packinging pressure was completed in about 6.29 seconds, and the green body inside and outside and sprue, etc became solid in 13.2 seconds. The impact of individual or reciprocal action of factors on the temperature at flow front was analyzed through regular probability, test statistics, main effect, and interaction effect. As a result, of a total of 31 combinations of factors, 9 unit factors and reciprocal actions were significant, and the screening was also possible. A proper regression equation was drawn with regression analysis and response surface design on the response variable of temperature at flow front, and the applicability could be verified.

• 한국생산제조학회지
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• 제21권3호
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• pp.387-393
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• 2012

It is very difficult to determine suitable cutting conditions in order to obtain accurate cutting profiles because machining errors caused by tool deflection depend upon cutting conditions. In this study the relationship between real cutting profiles (inclined shapes and machining errors) and cutting conditions was modeled in order to fabricate draft angle on micro molds. CCD (Central Composite Design) of DOE (Design Of Experiment) and RSM (Response Surface Method) were applied in order to model the relationship between cutting conditions and machining errors. In order to use CCD the range of radial depth of cut was chosen by $10-90{\mu}m$ and the range of feedrate was chosen by 200-300mm/min, and 9 points of cutting conditions were chosen inside determined ranges. Then, actual cutting processes were carried out as respect to 9 points of cutting conditions, draft angles and real cutting profiles were measured on cutting profiles, each response surface function was determined by conducting response surface analysis and the functions were represented by 3-dimensional graphs, contour lines and $101{\times}101$ matrices. Consequently it is possible to determine suitable cutting conditions in order to obtain arbitrary given draft angles and cutting profiles by using modeling. To validate proposed approach in this study suitable cutting conditions were determined by modeling in order to obtain arbitrary given draft angle and cutting profile, and actual cutting processes were carried out. About 95% of good agreement between predicted and measured values was obtained.

• 한국철도학회논문집
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• 제15권2호
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• pp.135-140
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• 2012

집중권 방식의 견인용 영구자석 매입형 동기전동기(IPMSM)는 출력밀도의 관점에서 우수하나 심각한 영구자석 와전류 손실을 가지고 있다. 본 논문에서는 영구자석 매입형 동기전동기의 자기적 특성을 분석하여 V-타입 회전자 영구자석의 각도와 폭을 변경함으로써 철손을 최소화하는 최적설계를 수행하였다. 자성체의 비선형성을 고려하기 위하여 자기등가회로법 대신 유한요소법을 이용하였으며, 각 파라메타가 영구자석에 발생하는 철손에의 영향 및 파라메타간의 교호작용을 파악하기 위하여 시뮬레이션 기반의 실험계획법을 사용하였다. 이를 통하여 모터의 성능을 유지하면서 철손을 상당히 줄인 집중권 방식의 영구자석 매입형 동기전동기의 최적설계를 반응표면법을 이용하여 도출하였으며, 유한요소법을 이용하여 이를 검증하였다.

• 한국진공학회:학술대회논문집
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• 한국진공학회 2009년도 제38회 동계학술대회 초록집
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• pp.464-464
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• 2010

A few years ago, for maintaining high stability and production yield of production equipment in a semiconductor fab, on-line monitoring of wafers is required, so that semiconductor manufacturers are investigating a software based process controlling scheme known as virtual metrology (VM). As semiconductor technology develops, the cost of fabrication tool/facility has reached its budget limit, and reducing metrology cost can obviously help to keep semiconductor manufacturing cost. By virtue of prediction, VM enables wafer-level control (or even down to site level), reduces within-lot variability, and increases process capability, $C_{pk}$. In this research, we have practiced VM on $SiO_2$ etch rate with optical emission spectroscopy(OES) data acquired in-situ while the process parameters are simultaneously correlated. To build process model of $SiO_2$ via, we first performed a series of etch runs according to the statistically designed experiment, called design of experiments (DOE). OES data are automatically logged with etch rate, and some OES spectra that correlated with $SiO_2$ etch rate is selected. Once the feature of OES data is selected, the preprocessed OES spectra is then used for in-situ sensor based VM modeling. ICP-RIE using 葰.56MHz, manufactured by Plasmart, Ltd. is employed in this experiment, and single fiber-optic attached for in-situ OES data acquisition. Before applying statistical feature selection, empirical feature selection of OES data is initially performed in order not to fall in a statistical misleading, which causes from random noise or large variation of insignificantly correlated responses with process itself. The accuracy of the proposed VM is still need to be developed in order to successfully replace the existing metrology, but it is no doubt that VM can support engineering decision of "go or not go" in the consecutive processing step.

• 한국기계가공학회지
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• 제21권8호
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• pp.79-86
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• 2022

With the recent increase in the demand for electric vehicles, it is necessary to identify the high current safety of automobile parts. Among the automobile parts, the EPDM parts required colored parts from the existing black; therefore, it was necessary to change the basic filler from carbon black to silica. The rubber used in automobile parts is flexible and exhibits basic characteristics of high strength and elongation. However, as the filler is changed to silica, its physical properties, such as tensile strength and elongation, are lower than those of the existing carbon black base. Therefore, it is necessary to evaluate the mechanical properties with the addition of the EPDM compound using silica as a base without degrading the physical properties of EPDM. In this study, an experiment based on the additive content was performed using the mixture experimental planning method to analyze the mechanical properties according to the additive type and mixing ratio of silica-based EPDM. The mixing ratio of the four additives was set using a simplex lattice design, and the tensile strength, elongation, modulus 300%, and permanent compression reduction rate were analyzed for mechanical characteristics, and rheometer experiments were performed for vulcanization characteristics. Through statistical analysis of the measured data, the main effects and interactions of the EPDM-blended rubber additives were analyzed. These results can be used to derive a mixing ratio of additives that satisfies the required characteristics of the EPDM compound.

• Journal of Pharmaceutical Investigation
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• 제37권6호
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• pp.329-338
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• 2007

The quality assurance issue of drug products is more important than the general product because it is highly related to the human health and life. In this reason, the regulatory guide lines have continuously been intensified all around the world. In order to achieve effective quality assurance and real-time product release (RTPR) of drug products, process analytical technology (PAT), which can analyze and control a manufacturing process, has been proposed from the United States. With the PAT process, we can obtain significant process features of materials, quality characteristics and product capabilities from a raw material to the final product in the real-time procedure. PAT can also be utilized to process validation using information system that can analyze the risk of drug products through out an entire product life-cycle. In this paper, we first offered a new concept for the off-line process design methods to prepare the improved quality assurance restrictions and a real-time control method by establishing an information system. We also introduced an automatic inspection system by obtaining surrogate variables based on drug product formulations. Finally, we proposed an advanced PAT concept using validation and feedback principles through out the entire life-cycle of drug product manufacturing processes.

• 한국항공우주학회지
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• 제43권5호
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• pp.422-431
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• 2015

풍동실험에 적용하는 실험계획법을 연구하기 위한 선행 연구로써 KF-16의 정적 공력 데이터베이스를 구축하는 풍동 실험을 수행하였다. 본 실험에서 사용된 기체는 KF-16의 1/33 scale의 모델이며 수평 꼬리날개와 플래퍼론, 방향타를 모두 구현하였다. 크게 실험은 수평 꼬리날개의 유무에 따른 공력 특성 변화를 보기 위한 실험과 플랩, 플래퍼론, 방향타, 그리고 수평 꼬리날개의 변위각에 따른 공력특성 변화를 알아보기 위한 실험을 수행하였다. 실험 수행 후에는 각 실험들에 대해서 6가지 공력계수 그래프를 분석하고 반응 표면을 생성하면서 조종면의 변화가 각각 어떤 공력 특성에 큰 영향을 미치는지 알아보았다.

• Journal of Advanced Marine Engineering and Technology
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• 제36권4호
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• pp.497-503
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• 2012

본 연구의 목적은 고온, 고압 환경에서 사용되는 열교환기의 전열관에서 발생되는 열팽창에 따른 열응력, 진동과 같은 기계적 특성을 개선시키고, 전열부 체적을 최소화시키는 관점에서 실험계획법을 이용하여 구불구불한 관 형상에 대하여 형상최적화를 수행하였다. S-관 형상에 대하여 부분별 용도를 제시하였고, 형상 최적화를 위해서 형상변수 및 범위를 정한 후, 유한요소해석을 수행하여 형상변수에 따른 구조적 특성을 평가하였고, 요인배치법을 이용하여 형상변수의 주효과를 분석한 후, 반응표면법(Response surface Methodology)을 이용하여 회귀방정식을 구하고, 최적화 툴을 이용하여 최적화를 수행하였다.