• Journal of the Korean Statistical Society
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• 제35권2호
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• pp.201-212
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• 2006

The technique of foldover is usually used by experimenters to de-alias the effects that are interesting in follow-up experiment. Employing a $2^{k-p}$ design with resolution III or higher, Li and Lin (2003) developed an algorithm and used computer programs to search its corresponding optimal foldover design for selected 16-run and 32-run experiments. Based on the minimum aberration criterion, the strong combined-optimal design, defined by Li and Lin, is the better choice of the initial design. In this article, we apply the technique of blocking to find the strong combined-optimal designs. Furthermore, we will tabulate all 16-run and 32-run strong combined-optimal designs and their corresponding core foldover plans for practical use. Some new designs that have not appeared in the other literature but constructed by the technique of blocking are also proposed in this article.

• 한국정밀공학회지
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• 제27권12호
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• pp.92-98
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• 2010

The design of press bonding tool in LCD module equipment is a very complex and difficult task because many design able variables are involved while their effects are not known. It takes longtime experiments and much expenses to verify the effects of these design variables. However the optimization of bonding tool using OLB(outer lead bonding) and PCB Bonding is a very important problem in LCD manufacturing process, so much design efforts have been made for improving the bonding tool performance. In this paper, a reasonable and fast process which gives optimized solution under the design requirements has been presented. Both analytical and statistical methods are employed in this process. A reliable analytic model using experiment-oriented FE analysis can be obtained, in which the regression equations that predict the tool efficiency from various DOE method are found. Improvement of tool efficiency could be estimated by the regression equations using meaningful factors converged by RSM(Response Surface Method). With this process a reasonable optimized solution that meets a variety of design requirements can be easily obtained.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2004년도 춘계학술대회
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• pp.1148-1153
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• 2004

Recently the high speed end-milling processing is demanded the high-precise technique with good surface rougj1ness and rapid time in aircraft, automobile part and molding industry. The working factors of high speed end-milling has an effect on surface roughness of cutting surface. Therefore this study was carried out to analyze the working factors to get the optimum surface roughness by design of experiment. From this study, surface roughness have an much effect according to priority on Spindle speed, feed rale, hardness and axial depth of cut By design of experiment, it is effectively represented shape characteristics of surface roughness in high speed end-milling And determination($R^2$) coefficient of regression equation had a satisfactory reliability of 89.7% and regression equation of surface roughness is made by regression analysis.

• 응용통계연구
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• 제10권1호
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• pp.15-27
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• 1997

Randomized block design (RBD) with three replication is very frequently adopted in agricultural experiments of the Rural Development Administration of Korea. Even though it works well in field trials of traditional crops, it may not accomodate trial site conditions and/or experimental environment. In this research report, we deal with two such cases. The first case is for a crop experiment in green houses. In house conditions, RBD may not be appropriate since it cannot reflect two directions of the yield gradient. So, a Latin square design is suggested as an alternative. The second case is for local field experiments of the newly-inbred rice. RBD with three replications is used without doubt for decades, even though the site layout is not appropriately shaped for the design. In this case, we suggest the RBD in two blocks with multiple replicates for control varieties as an alternative. To improve the quality of statistical experimental designs in over one-thousand agricultural trials performed annually in the Rural Development Administration, we need to re-train agricultural researchers on the design and analysis of experiments and call for concerns of Korean statisticians.

• 대한기계학회논문집A
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• 제37권3호
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• pp.287-294
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• 2013

롤투롤 인쇄전자 시스템은 높은 생산성과 낮은 원가를 이점으로 인쇄전자 산업에서 가장 각광을 받고 있는 인쇄기술 중 하나이다. 이러한 롤투롤 인쇄전자 시스템에서 인쇄패턴의 특성은 인쇄물의 기능적 성질을 결정짓는 중요한 문제라 할 수 있다. 따라서 본 연구에서는 인쇄패턴의 특성을 결정짓는 주요 인자들이 특별히 인쇄패턴의 두께와 표면 조도에 미치는 영향성에 대한 분석이 수행되었다. 실험계획법을 적용하여 인쇄패턴의 두께와 표면조도에 대한 각 인자의 주효과 및 교호작용 효과를 정량적으로 제시하였고, 분산분석을 통해 유의한 인자를 찾아내었다. 또한 이에 따르는 통계적 모델이 주요 인자의 함수로서 개발되었다. 이러한 결과는 롤투롤 전자인쇄 시스템의 특징에 따라 요구되는 인쇄패턴의 특성을 얻는데 활용될 수 있을 것이다.

• 공업화학
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• 제30권5호
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• pp.615-619
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• 2019

통계학적 실험계획법을 이용하여 다공성 구조체인 MOF-235 합성 공정 최적화를 수행하였다. 합성에 사용되는 주성분인 terephthalic acid (TPA), Iron (III) chloride hexahydrate, N,N-dimethylformamide (DMF) 및 ethanol의 농도가 MOF-235의 결정구조를 형성하는데 중요한 요소가 되었다. 다양한 농도의 4가지 성분을 이용하여 MOF-235를 합성한 후 XRD를 이용하여 결정도를 측정하였다. 16가지 실험조건을 통해 합성한 MOF-235의 결정도 결과를 통계학적 해석을 통해 주성분의 조성이 입자의 합성에 미치는 영향을 분석하였다. F 검정법을 이용한 분산분석에서 에탄올의 농도가 입자의 결정도에 가장 큰 영향을 미치고 TPA가 가장 영향력이 작은 것으로 분석되었다. 결정도를 예측할 수 있는 회귀모델을 도출하였고 2가지 합성변수에 대한 예측결과를 등고선도를 이용하여 제시하였다. 마지막으로 혼합물법을 이용하여 3가지 합성인자가 미치는 결정도를 예측하여 제시하였다.

• Korean Chemical Engineering Research
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• 제56권6호
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• pp.784-791
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• 2018

다양한 합성조건에서 UiO-66 입자를 합성하여 수소정제용 이산화탄소 흡착량에 대한 연구를 수행하였다. 이를 위하여 통계학적 실험계획법을 이용하여 실험계획을 세우고 도출된 결과를 이용하여 분석하였다. 합성시간, 온도 및 아세트산의 용량이 증가할 수록 UiO-66입자의 결정도가 증가하였다. 특히 아세트산의 용량이 입자의 결정도를 결정하는데 중요한 인자로 확인되었다. 질소흡착법으로 측정한 입자의 비표면적의 경우도 유사한 경향을 보였다. 실험계획법 중 일반요인분석을 이용하여 주요 인자에 대한 주효과도 및 교호작용을 분석하였다. 또한 비선형 회귀법을 이용하여 이산화탄소 흡착량을 예측하였고, 모든 범위에서 대하여 흡착성능을 표면도와 등고선도를 통해 제시하였다.

• 한국기계가공학회지
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• 제12권5호
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• pp.23-29
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• 2013

Recent advances in printing technology have increased the productivity of the roll-to-roll (R2R) printing process for printed circuitry. In the R2R printed electronics, characteristics of printed and coated layers are one of the most important issues that determine the functional quality of final products. The slot-die technology can coat a large area with high uniformity using low-viscosity materials; determining the process parameters is important to obtain excellent coating qualities. In this study, a viscocapillary model was used to predict qualities of coated layers and patterns. On the basis of analysis results, a novel meta model was derived using design of experiment methodology to improve accuracy. Sensitivity analysis was performed to define major parameters in R2R slot-die coating process. The coating speed was found to most significantly affect the coated layer thickness and was easily controlled. The performance of the proposed model is verified through experimental studies. Based on the statistical analysis results, R2R slot die process can be optimized to guarantee a desired thickness.

• 한국축산식품학회지
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• 제39권1호
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• pp.114-120
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• 2019

Response surface methodology (RSM) is a useful set of statistical techniques for modeling and optimizing responses in research studies of food science. As a design for a response surface experiment, a central composite design (CCD) with multiple runs at the center point is frequently used. However, sometimes there exist situations where some among the responses at the center point are outliers and these outliers are overlooked. Since the responses from center runs are those from the same experimental conditions, there should be no outliers at the center point. Outliers at the center point ruin statistical analysis. Thus, the responses at the center point need to be looked at, and if outliers are observed, they have to be examined. If the reasons for the outliers are not errors in measuring or typing, such outliers need to be deleted. If the outliers are due to such errors, they have to be corrected. Through a re-analysis of a dataset published in the Korean Journal for Food Science of Animal Resources, we have shown that outlier elimination resulted in the increase of the maximum possible R-square that the modeling of the data can obtain, which enables us to improve the quality of response surface analysis.

• Steel and Composite Structures
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• 제50권2호
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• pp.159-181
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• 2024

In the present study, the effect of geometrical parameters of two different types of aluminum thin-walled structures on energy absorption under three-bending impact loading has been investigated experimentally and numerically. To evaluate the effect of parameters on the specific energy absorption (SEA), initial peak crushing force (IPCF), and the maximum crushing distance (δ), a design of experiment technique (DOE) with response surface method (RSM) was applied. Four different thin-walled structures have been tested under the low-velocity impact, and then they have simulated by ABAQUS software. An acceptable consistency between the numerical and experimental results was obtained. In this study, statistical analysis has been performed on various parameters of three different types of tubes. In the first and the second statistical analysis, the dimensional parameters of the cross-section, the number of holes, and the dimensional parameter of holes were considered as the design variables. The diameter reduction rate and the number of sections with different diameters are related to the third statistical analysis. All design points of the statistical method have been simulated by the finite element package, ABAQUS/Explicit. The final result shows that the height and thickness of tubes were more effective than other geometrical parameters, and despite the fact that the deformations of the cylindrical tubes were around forty percent greater than the rectangular tubes, the top desirability was relevant to the cylindrical tubes with reduced cross-sections.