• 품질경영학회지
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• 제48권1호
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• pp.51-68
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• 2020

Purpose: The primary objective of this research is to develop the optimal operating conditions as well as their associated design spaces for a Cryogenic Submerged Arc Welding(SAW) process by improving its quality and productivity simultaneously. Methods: In order to investigate functional relationships among quality characteristics and their associated control factors of an SAW process, a stepwise design of experiment(DoE) method is proposed in this paper. Based on the DoE results, not only a multi-dimensional design space but also a safe operating space and normal acceptable range(NAR) by integrating statistical confidence intervals were demonstrated. In addition, the optimal operating conditions within the proposed NAR can be obtained by a robust optimal design method. Results: This study provides a customized stepwise DoE method (i.e., a sequential set of DoE such as a factorial design and a central composite design) for Cryogenic SAW process and its statistical analysis results. DoE results can then provide both the main and interaction effects of input control factors and the functional relationships between the input factors and their associated output responses. Maximizing both the product quality with high impact strength and the productivity with minimum processing times simultaneously in a case study, we proposed a design space which can provide both acceptable productivity and quality levels and NARs of input control factors. In order to confirm the optimal factor settings and the proposed NARs, validation experiments were performed. Conclusion: This research may provide significant contributions and applications to many SAW problems by preparing a standardization of the functional relationship between the input factors and their associated output response. Moreover, the proposed design space based on DoE and NAR methods can simultaneously consider a number of quality characteristics including tradeoff between productivity and quality levels.

• Advances in nano research
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• 제14권2호
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• pp.155-164
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• 2023

Grain size in sheet metals in one of the main parameters in determining formability. Grain size control in industry requires delicate process control and equipment. In the present study, effects of grain size on the formability of steel sheets is investigated. Experimental investigation of effect of grain size is a cumbersome method which due to existence of many other effective parameters are not conclusive in some cases. On the other hand, since the average grain size of a crystalline material is a statistical parameter, using traditional methods are not sufficient for find the optimum grain size to maximize formability. Therefore, design of experiment (DoE) and artificial intelligence (AI) methods are coupled together in this study to find the optimum conditions for formability in terms of grain size and to predict forming limits of sheet metals under bi-stretch loading conditions. In this regard, a set of experiment is conducted to provide initial data for training and testing DoE and AI. Afterwards, the using response surface method (RSM) optimum grain size is calculated. Moreover, trained neural network is used to predict formability in the calculated optimum condition and the results compared to the experimental results. The findings of the present study show that DoE and AI could be a great aid in the design, determination and prediction of optimum grain size for maximizing sheet formability.

• 한국자동차공학회논문집
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• 제17권5호
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• pp.16-25
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• 2009

Testing engine performance using an engine dynamometer requires high technical researchers and many facilities. Nowadays, different variables of CAE program are used for identifying the engine performance instead of engine dynamometer test. This is more convenience, as it does not necessitate an abundance of engine dynamometer experiments and, in addition, produces better results. However, CAE programs also contain various variables which can affect engine performance. Those are coupled with each other, thus making it difficult to determine the effectiveness of different variables on engines. DoE (Design of Experiments) methodology is an efficient way to verify the magnitude of effectiveness on engine performance as well as making responses to be optimized at once without trial & error. This study used data from WAVE simulations, which modeled the DOHC SI engine with in-line 4 cylinders at 1500, 3000 and 4500rpm. DoE methodology is designed properly to determine the effectiveness of five variables on power, BSFC, and volumetric efficiency, as well as to find the optimal response conditions at each rpm through a minimized number of experiments. After finishing DoE process, all the results are examined concerning the reliability of test through a verification experiment.

• 한국항공우주학회지
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• 제46권10호
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• pp.798-805
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• 2018

본 연구에서는 극초음속 충격파 풍동시험에 대한 적응적 실험 계획법 기반 접근법을 소개한다. 원뿔형 모델의 피치 모멘트를 받음각과 피치 각속도에 대한 함수로 모델링하기 위해 일련의 실험들을 수행하였다. 또한 다수의 시계열 실험 데이터를 효과적으로 분석하기 위해 초고속 카메라를 통해 획득한 실험 이미지로부터 실험 모델의 궤적을 구성하기 위한 알고리즘을 개발하였다. 해당 알고리즘을 활용해 이전 실험에 대한 분석 결과를 토대로 다음 실험점을 결정하는 적응적 실험 계획법을 제안한다.

• The Journal of Asian Finance, Economics and Business
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• 제7권12호
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• pp.1175-1184
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• 2020

This research examines the personal (i.e., Machiavellianism) and situational factors (i.e., tax climate) that are believed to be psychologically salient aspects in tax compliance. To the best of our knowledge, no research has been carried out to investigate the interaction effect of the two factors. This study uses a paper-and-pencil laboratory experiment 2x2 between-subject factorial design that involved 158 participants. The results indicate that a taxpayer who has a low Machiavellianism score or who is in a high synergistic tax climate reports a higher level of income. In the high synergistic tax climate, where tax norms apply, personal ethics do not play a significant role in tax compliance decisions. Where the synergistic relationship between taxpayer and authorities is low, personal ethics play an important role, i.e., low Machiavellians report a higher reported income than high Machiavellians do. This research contributes to the literature that deviates from the traditional model of tax compliance. Taxpayers are not always rational, but they might pay tax for reasons other than financial motives (Alm, 1991, 2018), that is, personal ethics in this study. This research implies the need for policymakers to consider other approaches rather than only relying on audits and fines.

• 한국결정성장학회지
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• 제33권6호
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• pp.216-225
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• 2023

본 연구에서는 냉간 헤딩 공정에서 성형하중과 펀치 금형의 마모 감소를 통한 펀치 수명 증대를 위해 헤딩용 펀치 형상 최적설계를 수행하였다. 기존 생산에 사용되는 냉간 헤딩 펀치와 성형공정에 대한 유한요소해석 시뮬레이션을 통해 성형하중과 유동 특성 분석, 펀치금형에 집중되는 유효응력 및 마모량에 대하여 분석하였으며, 이를 통해 금형 마모와 밀접한 주요 설계인자를 확인하였다. 펀치금형의 최적설계 변수로서는 펀치 금형 포인트각(Point angle), 에지 반경값(Corner radius), 펀치소재재종(die material type), 마찰계수(friction coefficient) 등의 4가지 변수를 대상으로 4인자 3수준 인자 및 변수 수준을 설정하고, 성형해석 시뮬레이션과 다구찌법을 활용하여 설계인자별 영향도를 분석하여 최적의 최적설계 인자를 결정하였다. 본 연구를 통해 얻어진 최적설계변수를 적용하여 냉간 헤딩용 펀치 최적설계 시뮬레이션 결과, 각 펀치에 발생하는 최대유효응력은 최대 8.9 % 감소 효과를, 최대 펀치 마모 깊이는 37 % 감소 효과를, 성형하중은 평균 20% 수준 의 감소효과를 얻을 수 있었다. 현재, 소성 성형제품군이 적용되는 자동차, 건설 플랜트사에서 요구되는 고품질에 대응하면서도 적정 제조원가 절감을 위한 성형성 개선을 위한 성형공정개발 및 금형설계의 최적화가 지속적으로 필요하며, 향후 연구 결과를 현업에 적용하여 제품 성형성 개선 및 금형수명 증대 관리를 위한 기술자료로 활용하고자 한다.

• 생명과학회지
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• 제33권3호
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• pp.268-276
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• 2023

본 연구는 carvedilol과 ivabradine의 이층정 제형 개발에 있어 carvedilol 속방층의 제형조건을 최적화하기 위해 수행되었다. Full-factorial design of experiments를 사용하여 carvedilol 속방층(wet granulation part)의 첨가제(microcrystalline cellulose, citric acid, crospovidone) 및 타정 시 공정변수(main compression)를 확인하였고 각 독립변수에 대한 7가지 종속변수(함량, 함량 균일성, 경도, 마손도, 붕해, 용출(pH 1.2 및 6.8)를 design expert software를 사용하여 평가하였다. Design of experiments (DoE) 실험에서 도출된 Analysis of Variance (ANOVA) 결과를 통해 main compression은 경도, 마손도, 붕해 시간에 유의한 영향을 주었고, microcrystalline cellulose는 마손도, 용출에 주요한 영향을 주었음을 확인하였다. 또한, citric acid는 마손도, crospovidone은 마손도, 용출에 주요한 영향을 주었음을 확인하였다. DoE실험 결과를 종합하여 최종적으로 도출된 설계공간에 따라 microcrystalline cellulose (약 18.0-32.0 mg), citric acid (약 0.5-12.0 mg), main compression (약 615-837 kgf)의 최적의 범위 내에서 초기 위험평가에서 평가된 모든 위험요인이 제거된 carvedilol 속방층의 최적 제조 범위를 확인하였다.

• 한국결정성장학회지
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• 제32권6호
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• pp.251-261
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• 2022

본 연구에서는 냉간단조공정에서 성형하중과 금형내 응력집중 감소를 위해 자동차 엔진 밸브 스프링 리테이너 제품의 형상최적화를 위한 금형형상 최적설계를 수행하였다. 기존 생산에 사용되는 각 성형공정별 냉간단조 금형에 대한 유한요소해석 시뮬레이션을 통해 절단공정을 포함해 총 6공정으로 구성되어 있는 냉간단조공정 별 단조 프리폼의 성형 시에 발생하는 성형하중과 성형유동 특성을 분석하였으며, 이를 통해 금형 내 응력집중이 발생하는 주요 설계인자를 확인하였다. 상형금형과 하형금형부의 챔퍼(chamfer) 및 에지필렛(edge fillet) 형상을 대상으로 4인자 3수준 설계인자 및 변수 수준을 설정하고, 성형해석 시뮬레이션과 다구찌법을 활용하여 설계인자별 영향도를 분석하여 최적의 최적설계인자를 결정하였다. 본 연구를 통해 얻어진 최적설계변수를 적용하여 엔진밸브 스프링 리테이너의 최적설계 시뮬레이션 결과, 각 프리폼 성형공정별로 최대 36 %, 전체 공정 평균 20 %의 성형하중 감소 효과를 얻을 수 있었다. 엔진의 고효율, 고출력, 고성능화 목표가 지속적으로 높아짐에 따라 고강도 소재의 활용이 많아지게 되어 이에 대응할 수 있는 성형공정 및 금형설계의 최적화가 필요하며, 향후 연구 결과를 활용하여 현업에 적용하여 제품단조성형성 개선 및 금형수명관리를 위한 기술자료로 활용하고자 한다.

• Asian-Australasian Journal of Animal Sciences
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• 제27권2호
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• pp.284-289
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• 2014

The experiment was conducted to evaluate the ingestive behavior of lambs confined in individual and group stalls. We used thirty-four lambs in their growing phase, aged an average of three months, with mean initial live weight of $17.8{\pm}5.2$ kg. They were allotted in a completely randomized design with 24 animals kept in individual stalls and 10 animals confined as a group. The experiment lasted for a total of 74 days, and the first 14 days were dedicated to the animals' adaption to the management, facilities and diets. The data collection period lasted 60 days, divided into three 20-d periods for the behavior evaluation. The animals were subjected to five days of visual observation during the experiment period, by the quantification of 24 h a day, with evaluations on the 15th day of each period and an interim evaluation consisting of two consecutive days on the 30th and 31st day of the experiment. The animals confined as a group consumed less (p<0.05) fiber. However, the animals confined individually spent less (p<0.05) time on feeding, rumination and chewing activities and longer in idleness. Therefore, the lower capacity of lambs confined in groups to select their food negatively affects their feeding behavior.

• 분석과학
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• 제33권6호
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• pp.252-261
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• 2020

Currently, the potentiometric titration and the high pressure liquid chromatography (HPLC) method were utilized in Korean Pharmacopoeia XII (KP XII) as well as other pharmacopoeias (USP, EP, BP) for determination of loperamide hydrochloride in raw materials and capsules, respectively. The research objective is to overcome the remaining drawbacks from current methods such as solubility of mobile phase (KP XII), less scientific approach (USP 43) or using paired-ion chromatography reagent which shows some limitations (BP2017 and other formulation monographs). The proposed method was optimized by Design of Experiment (DoE) tool to obtain the satisfied method for determination of loperamide hydrochloride. The optimal condition was performed on the common C18 column (150 mm × 4.6 mm; 5 ㎛) using isocratic elution with the mobile phase containing 40 mM of potassium phosphate monobasic (pH 3.0) and acetonitrile (56:44), at a flow rate of 0.7 mL/min. The optimized method was validated and met the requirements of the International Conference on Harmonization. The developed method was applied to determine loperamide hydrochloride in capsules and can be used to update the current monograph in KP XII.