• Applied Chemistry for Engineering
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• v.28 no.3
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• pp.286-289
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• 2017

Synthesis of zeolite 4A was carried out to optimize the nanoparticle synthesis process using statistical experimental design method. The zeolite 4A was synthesized by controlling the concentration of the silicon precursor, sodium metasilicate (SMS), and characterized by XRD, SEM and nitrogen adsorption. In particular, the property of zeolite 4A can be determined by XRD analysis. Using the general factor analysis in the design of experiments, we analyzed main effects and interactions according to the reactor, reaction temperature and reaction time. The optimum reaction condition for the synthesis of zeolite 4A crystallinity was using an autoclave for 3 hours at $110^{\circ}C$. Furthermore, the optimal synthesis conditions of zeolite 4A with various crystallinity using Ludox as a silicon precursor were presented of what using both the surface and contour plot.

• Journal of the Society of Disaster Information
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• v.18 no.4
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• pp.899-907
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• 2022

Purpose: Although many studies on seismic fragility analysis of general bridges have been conducted using machine learning methods, studies on curved bridge structures are insignificant. Therefore, the purpose of this study is to analyze the seismic fragility of bridges with I-shaped curved girders based on the machine learning method considering the material property and geometric uncertainties. Method: Material properties and pier height were considered as uncertainty parameters. Parameters were sampled using the Latin hypercube technique and time history analysis was performed considering the seismic uncertainty. Machine learning data was created by applying artificial neural network and response surface analysis method to the original data. Finally, earthquake fragility analysis was performed using original data and learning data. Result: Parameters were sampled using the Latin hypercube technique, and a total of 160 time history analyzes were performed considering the uncertainty of the earthquake. The analysis result and the predicted value obtained through machine learning were compared, and the coefficient of determination was compared to compare the similarity between the two values. The coefficient of determination of the response surface method was 0.737, which was relatively similar to the observed value. The seismic fragility curve also showed that the predicted value through the response surface method was similar to the observed value. Conclusion: In this study, when the observed value through the finite element analysis and the predicted value through the machine learning method were compared, it was found that the response surface method predicted a result similar to the observed value. However, both machine learning methods were found to underestimate the observed values.

• Proceedings of the Korean Society of Food and Cookery Science Conference
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• 2003.05a
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• pp.84-84
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• 2003

최근 젊은층의 서양후식 소비가 증가하는 경향에 맞추어 우리음식인 오미자편과 서양후식인 젤리를 접목한 우리실정에 맞는 오미자편 개발의 필요성을 느껴 반응표면 실험계획법으로 오미자편의 최적 레시피를 찾아내고 상품화를 시도하여 서양의 젤리와 경쟁력을 갓추어 보급하고자 본 연구를 실시하였다. 오미자편의 각 물성 측정치는 1차 선형효과에서 주로 pectin과 sucrose에 의해 영향을 받았고, 2차 곡선효과에서는 pectin $\times$ pectin이 탄력성, 점착성에 영향을 받았다. (중략)

• Journal of the Korean institute of surface engineering
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• v.22 no.2
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• pp.88-92
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• 1989

양극산화 피막의 졀정구조에 관한 연구는 1960년대부터 반응 Mechanism의 연구와 병행하여 많은 논란이 되어왔다. 결정구조의 정확한 Model 이 아직까지 확립되어 있지 않은 상태에서, 여러 가지 접근방식으로 연구되고 있는 실정이다. 최근에는 HRTEM, NAS-NMR등의 고성밀 장비의 응용에 의한 결정구조의 분석에 활발히 진행이 되고 있으며, 이론 물리학의 응용 또한 이곳까지 확산되고 있는 상태이다. 본 고에서는 반응 Mechanism을 연구하는데 가장 밀접한 분야인 양극산화 피막 결정 구조에 관해 1950년대이후 어떻게 연구되고 설명되었는가를 조명하기로 한다.

• Proceedings of the KIEE Conference
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• 2007.10c
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• pp.39-40
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• 2007

본 논문은 Slotless BLDCM의 발열특성에 고려하여 열 발생을 최소화 하고자 다중 반응표면법을 적용하여 모터의 형상 및 권선 사양의 최적 선정에 관한 연구이다. 본 연구에서는 전류밀도의 최소화를 목적함수로 하여 형상 및 권선 사양의 최적화를 실시하였다. 변수에 대한 영향도의 분석은 전자계 해석을 통한 결과값을 통하여 실시하였으며, 열적 특성을 파악하기 위해서 전자계-열계의 해석을 통해서 최적값의 열적 안정성을 파악하였다.

• Journal of Industrial Technology
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• v.31 no.A
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• pp.27-31
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• 2011

In many industrial experiments, some practical constraints often force factors in an experiment to be much harder to change than others. Such an experiment involves randomization restrictions and it can be thought of as split-plot experiment. This paper investigates the path of steepest ascent/descent within a split-plot structure. A method is proposed for calculating the coordinates along the path.

• Polymer(Korea)
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• v.36 no.3
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• pp.372-379
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• 2012

In this study, we treated silica nanoparticles with bis[3-(trimethoxysilyl)propyl]amine (BTMA) silane coupling agent to modify their surfaces. We investigated the effects of BTMA hydrolysis time, BTMA concentration and BTMA treatment time on the degree of silanization reaction of silica nanoparticles. We used Fourier transform infrared spectroscopy (FTIR), elemental analysis (EA) and solid state cross-polarization magic angle spinning (CP/MAS) nuclear magnetic resonance spectroscopy (NMR) to obtain quantitative data. We found the decrease of isolated Si-OH peak intensity at 3747 $cm^{-1}$ and the increase of $-CH_2 $stretching and bending peaks with increasing hydrolysis time, concentration and treatment time of BTMA. EA analysis results also supported this trend. We found a strong effect of BTMA concentration on the degree of silanization of the silica particles, but weak effects of the hydrolysis time and the treatment time.

• Proceedings of the Korean Institute of Surface Engineering Conference
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• 2016.11a
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• pp.125.1-125.1
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• 2016

마그네슘 합금은 소재 특성상 표면처리가 필수불가결하다. 금속의 다양한 표면처리 방법 중 마그네슘 합금은 크게 화학적 반응을 이용해 산화막을 생성해 피막을 올리는 화성처리법과, 전해액 내에 침지시켜 전기를 걸어주어 금속 표면에 플라즈마 아크를 통해 산화막을 생성하는 PEO공법 두 가지 방법이 있다. 본 연구에서는 마그네슘 합금 소재에 PEO공법을 적용한 산화피막의 공정 변수에 따른 특성을 SEM, EDS, SST, potentiodynamic polarization 등으로 분석하였다.

• Journal of the korean academy of Pediatric Dentistry
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• v.33 no.1
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• pp.70-76
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• 2006

The aim of this study was comparison of effectiveness of surface treatment methods in reducing the oxygen-inhibited layer of a commercially available freshly polymerized, light cured dental sealant($concise^{TM}$, 3M, St Paul, USA). Surface treatment groups were consisted of no treatment(negative control group) and 3 experimental groups according to surface treatment of light-cured sealant. Experimental group I was 10 seconds' exposure to distilled water syringe, group II was 10 seconds' manual application using a cotton pellet wetted with 75% alcohol and group III was 10 seconds' prophylaxis with pumice/water slurry using rubber cup on a slow-speed handpiece. All specimens were immersed in 5ml distilled water and stored at 37c water bath for 10 minutes. All eluates were analyzed by HLPC for identification and quantitive analysis of monomers. The results of this study can be summarized as follows. 1. None of the chromatograms of the tested sealant displayed peaks with the same retention time as that of the standard solution, except for TEGDMA. 2. All surface treatment group had a statistically significant decrease of monomer release in comparison with no treatment group. 3. Removal effects of unreacted monomer in group III was statistically significant in comparison with group I and group II. These results revealed that mechanical method using pumice and rubber cup is the most effective in removing residual monomer and may be valuable to be used effectively in clinic.

• Applied Chemistry for Engineering
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• v.18 no.4
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• pp.366-370
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• 2007

New product development requires information on customers' emotions such as vision, auditory, olfactory, gustatory, or tactile perceptions. In this study, tactile sense which has not been well studied compared to other senses, was measured and statistically analysed for different surface roughnesses of plastic samples. The emotional responses of 37 pairs of positive and negative adjectives describing tactile senses were collected and analysed through the questionnaire to find the correlation between adjectives and surface roughness. Frequency of the first preference for each adjective on four different roughness is obtained, and used for the statistical studies such as factor analysis, multidimensional scaling, or clustering.