• Title/Summary/Keyword: Design Of Experiments

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Design of Fractional Factorial Experiments with Four-Level Quantitative and Two-Level Factors (4-수준 계량인자가 포함된 2-수준 일부실시 실험계획)

  • Choi, Kiew-Phil;Byun, Jai-Hyun
    • Journal of Korean Institute of Industrial Engineers
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    • v.27 no.4
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    • pp.352-365
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    • 2001
  • Two-level factorial designs are popular in industry due to their simplicity, efficiency, graphical interpretation, and flexibility in sequential experimentation. However, experimenters are often frustrated when they have factors with more than two levels. There have been some works on design of experiments with two- and four-level factors, which mostly deal with qualitative four-level factors. This paper discusses differences between qualitative and quantitative four-level factors. Optimal designs are provided for some designs with four-level quantitative and two-level factors.

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Design of the Radial Extrusion Process for the General-Purpose Flange Using Model Material (모델재료를 이용한 범용 플랜지의 레이디얼 압출 공정설계)

  • Lee, Sang-Don;Byon, Sung-Kwang
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.17 no.2
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    • pp.114-120
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    • 2008
  • This study is to compare and analyze the material flow, deformation characteristics, and forming load of flange by means of similitude experimental method of model material using plasticine. In order to find optimal forming conditions, prototype experiments were designed to investigate forming characteristics of general-purpose flange under various working conditions. As a result of prototype experiments, billet thickness and gap-height ratio was found to be the most influential experimental parameter in flange forming. Forming loads from prototype experiments were compared to the results of finite element analysis after conducting estimation of forming loads of real material. Results of prototype experiments based on model material techniques are expected to be used as a basic data of die design f3r the development of products and process.

Design and Development of Sensor-based Virtual Experiment Contents for Smart Phone (스마트폰의 센서를 이용한 가상 실험 콘텐츠의 개발 및 설계)

  • Chung, Kwang Sik;Kwon, Sooyoul;Huang, Wen-Hao
    • Journal of Digital Contents Society
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    • v.14 no.2
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    • pp.161-169
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    • 2013
  • Experiments and practices are critical instructional activities for teaching and learning natural sciences. However, by learning the experimental procedures in advance with the help of Virtual Experiments, natural science majors may address danger of handling chemicals before carrying out experiments in the laboratories. Virtual Experiments, a mobile learning app, provides learners with interactions between the learners and the contents by using the sensor built-in Android-platform smart phones. With the app, learners may handle the chemicals and experiment apparatuses, verify the reactions and assembly of the chemicals and instruments in advance. This paper describes the design and development of the Virtual Experiments in hope to promote the integration of mobile learning apps in order to better engage learners in the laboratories.

A V­Groove $CO_2$ Gas Metal Arc Welding Process with Root Face Height Using Genetic Algorithm

  • Ahn, S.;Rhee, S.
    • International Journal of Korean Welding Society
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    • v.3 no.2
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    • pp.15-23
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    • 2003
  • A genetic algorithm was applied to an arc welding process to determine near optimal settings of welding process parameters which produce good weld quality. This method searches for optimal settings of welding parameters through systematic experiments without a model between input and output variables. It has an advantage of being able to find optimal conditions with a fewer number of experiments than conventional full factorial design. A genetic algorithm was applied to optimization of weld bead geometry. In the optimization problem, the input variables were wire feed rate, welding voltage, and welding speed, root opening and the output variables were bead height, bead width, penetration and back bead width. The number of level for each input variable is 8, 16, 8 and 3, respectively. Therefore, according to the conventional full factorial design, in order to find the optimal welding conditions, 3,072 experiments must be performed. The genetic algorithm, however, found the near optimal welding conditions from less than 48 experiments.

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Analysis and Usage of Computer Experiments Using Spatial Linear Models (공간선형모형을 이용한 전산실험의 분석과 활용)

  • Park, Jeong-Soo
    • Journal of Korean Society for Quality Management
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    • v.34 no.2
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    • pp.122-128
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    • 2006
  • One feature of a computer simulation experiment, different from a physical experiment, is that the output is often deterministic. Moreover the codes are computationally very expensive to run. This paper deals with the design and analysis of computer experiments(DACE) which is a relatively new statistical research area. We model the response of computer experiments as the realization of a stochastic process. This approach is basically the same as using a spatial linear model. Applications to the optimal mechanical designing and model calibration problems are illustrated. Algorithms for selecting the best spatial linear model are also proposed.

Comparison and Analysis of the Soft-Switching ZVT Converters in Efficiency Using PSPICE (PSPICE를 이용한 소프트 스위칭 ZVT컨버터 효율 비교와 분석)

  • Kim Yoon-Ho;Kim Su-Hong;Lee Kang-Hee;Kim Seung-Mo
    • Proceedings of the KIPE Conference
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    • 2002.07a
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    • pp.364-369
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    • 2002
  • Presently, a high frequency switching technique is used for a converter design to reduce its size and weight. However an increased switching frequency introduces a high switching loss. To the reduce switching loss, soft switching techniques using ZVS and ZCS are applied. It is very important to improve efficiency. However In general to develop new converter circuits, the efficiency and other performance parameters can be determined after design, implementation and experiments. The idea in this paper is to determine and predict efficiency and other operating characteristics without realization and experiments. Thereby a complex design and implementation can be avoided. PSPICE is used as a simulation tool. This is verified by comparing simulation and experiments results of the two different soft switching converters.

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Determination on Optima Condition for a Gas Metal Arc Welding Process Using Genetic Algorithm (유전 알고리즘을 이용한 가스 메탈 아크 용접 공정의 최적 조건 설정에 관한 연구)

  • 김동철;이세헌
    • Journal of Welding and Joining
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    • v.18 no.5
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    • pp.63-69
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    • 2000
  • A genetic algorithm was applied to an arc welding process to determine near optimal settings of welding process parameters which produce good weld quality. This method searches for optimal settings of welding parameters through systematic experiments without a model between input and output variables. It has an advantage of being able to find optimal conditions with a fewer number of experiments than conventional full factorial design. A genetic algorithm was applied to optimization of weld bead geometry. In the optimization problem, the input variables was wire feed rate, welding voltage, and welding speed and the output variables were bead height, bead width, and penetration. The number of level for each input variable is 16, 16, and 8, respectively. Therefore, according to the conventional full factorial design, in order to find the optimal welding conditions, 2048 experiments must be performed. The genetic algorithm, however, found the near optimal welding conditions from less than 40 experiments.

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A Statistical Study on Doorway Flow-time for Designing Doors of Ui LRT (우이-신설 경전철 출입문 설계를 위한 승하차시간 분석 연구)

  • Oh, Suk-Mun;Jang, Hyeon-Mog;Shin, Han-Chul
    • Journal of the Korean Society for Railway
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    • v.16 no.2
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    • pp.144-150
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    • 2013
  • This paper presents an analysis of door design for the Ui LRT based on experiments to predict doorway flow-time and their analyses results. A similar railway vehicle (from Gimhae LRT) and operational conditions are utilized to assess the doorway flow-time through repetitive experiments. Design of the experiments consists of four scenarios, and the experiments are repeated 39 times in total. We use the results of the experiments to verify the design of doors of Ui LRT (e.g. the required number of doors and their width). Various statistical analyses are carried out for the flow-time with respect to the number of boarding/alighting passengers. We make three category levels of boarding/alighting passengers, and analyze the mean and variance for each category, and then carry out One-Way ANOVA to analyze how the number of boarding/alighting and onboard passengers impact flow-time. The results of this paper can be used for making decisions about doors of the LRT vehicle.

RF heating experiment to verify the design process of graphite target at the RAON µSR facility

  • Jae Young Jeong;Jae Chang Kim;Kihong Pak;Yong Hyun Kim;Yong Kyun Kim;Wonjun Lee;Ju Hahn Lee;Taek Jin Jang
    • Nuclear Engineering and Technology
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    • v.55 no.10
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    • pp.3768-3774
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    • 2023
  • The purpose of the target system for the muon spin rotation, relaxation, and resonance (µSR) facility at the Rare isotope Accelerator complex for ON-line experiments (RAON) is to induce the production of a significant number of surface muons in thermally stable experiments. The manufactured target system was installed at RAON in the Sindong area near Daejeon in 2021. The design was made conservatively with a sufficient margin of safety through ANSYS calculations; however, verification experiments had to be performed on the ANSYS calculations. Because the 600-MeV proton beam has not yet been provided, an alternative way to reproduce the calculation conditions was required. The radio frequency (RF) heating method, which has not yet been applied to the target verification experiment but has several advantages, was used. It was observed that the RF heating method has promise for testing the thermal stability of the target, and whether the target system design process was performed conservatively enough was verified by comparing the RF heating experiments with the ANSYS calculations.

A Study on Theo van Doesburg's Plastic Experiments with Colored Planes (반 두즈버르그의 색면 조형 실험에 관한 연구)

  • Park, Young-Kyung
    • Korean Institute of Interior Design Journal
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    • v.16 no.3 s.62
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    • pp.30-37
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    • 2007
  • This research is to find out the characteristics and significance of the plastic experiments with colored planes in Theo van Doesburg's works. Based on the analysis, the following results have been obtained. First, Thea van Doesburg's plastic experiments with colored planes started from the paintings in 1916-1918. series and series were made of the ion of still life or human motion. These paintings were intended to make effects of rhythm, acceleration and simultaneity. Second, he colored the outer and inner architectural surface with primary colors. The expression of visual. rhythm on the color design for De Vonk, Districts Housing Projects VIII & IX in Spangen, Multi-Housing in Oosterstraat, Friesian Housing, Landbouw Winter School, and University Hall in Amsterdam embodied the concept of painting-in-architecture. Third, the field of these experiments were extended into the architectural space. As a results, $H\hat{o}tel$ Particulier and Maison d'Artiste was shown on the Architectural Exhibition in Paris in 1923. The colored planes were used as a construction material. They generated the dynamic space in architecture. Fourth, through the pictorial works like Architectural Analysis, Contra-Composition, Simultaneous Composition or Simultaneous Contra-Composition, Tesseract and Aubette Cinema-Dancing Hall, he created the concepts of simultaneous integration including nature and the environments as well as space-time in the architecture.