• Title/Summary/Keyword: 실험계획법

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A Study on Design of Micro Stage using Design of Experiment (실험계획법을 이용한 마이크로 스테이지 설계에 관한 연구)

  • Ye S.D.;Jeong J.H.;Lee J.K.;Min B.H.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2005.06a
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    • pp.1394-1397
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    • 2005
  • The object of this study was to design of micro stage, which is one of the equipments embodied in ultra precision positioning mechanism. Design factors for micro stage were decided a roundness of hinge, a thickness of hinge, a thickness of stage, a length of arms and a clearance of division. To obtain the $1^{st}$ natural frequency and equivalent stresses, FEM simulation was performed using the table of orthogonal arrays and Taguchi method was used to determine the optimal design parameters. As results of this study, the size of 1st natural frequency and equivalent stresses on micro stage was influenced significantly by a thickness of hinge and a length of arm.

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Optimum Design of Transverse Flux LInear Motor for Transfer of LCD Glass Pannel Using Design of Experiment (실험계획법을 이용한 LCD 원판 Glass 이송용 횡자속 선형전동기 최적설계)

  • Hong, Do-Kwan;Woo, Byung-Chul;Lee, Ji-Young;Chung, Shi-Uk;Kang, Do-Hyun;Lee, In-Jae;Cho, Chang-Jae
    • Proceedings of the KIEE Conference
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    • 2011.07a
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    • pp.1135-1136
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    • 2011
  • 본 논문은 LCD 원판 Glass 이송용 4,000[N]급 영구자석 여자 횡자속 선형전동기를 설계하고 해석을 통해 성능을 검토하였다. 실험계획법을 활용하여 횡자속 선형전동기의 형상을 이루는 설계변수들이 추력과 추력리플에 미치는 평균분석을 통해서 민감도분석을 수행하였다. 본 연구에서 개발된 횡자속 선형전동기 적용 추진모듈은 LCD 제조 분야의 원판 Glass 이송용으로 선형이송 시스템에 적용하고자 한다.

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Run-to-Run Process Control and the Analysis of Process Parameters using Design of Experiment in Surface Finishing (실험계획법에 의한 파라미터 분석과 Run to Run 제어를 이용한 폴리싱 공정 제어)

  • 안병운;박성준;이상조;윤종학
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2004.10a
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    • pp.92-96
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    • 2004
  • In this paper, polishing method using bonded magnetic abrasive particle has been applied to the micro mold polishing. Through process control using the Run-to-Run control, it tried to form the surface roughness In order to grasp the influence of the surface roughness which is reached by selection of control factor and the factor, a design of experiment was been processed. The study is processed with a purpose of to embody and to maintain the surface roughness of nano scale by the basis of an influence between a control factor and the factors which has been selected in this way. As a result, the result of the process control converged at a target value of surface roughness Ra 10nm and Rmax 50nm

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Sequential Designs for Complex Computer Experiments with an Application to a Nuclear Fusion Model (복잡한 전산실험을 위한 축차적 계획법과 핵 융합모형에의 응용)

  • Jeong Soo Park
    • The Korean Journal of Applied Statistics
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    • v.7 no.2
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    • pp.183-200
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    • 1994
  • Data-adaptive sequential suboptimal designs for very complex computer simulation codes are considered based on a spatial prediction model. These designs are constructed for two simulators of the computational nuclear fusion devices model. The difficulty of constructing the optimal designs due to the irregular design region, and its alternatives are also discussed with some computational algorithms for obtaining the designs.

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Optimization of Spin-On-Glass Planarization Process Using Statistical Design of Experiments (통계적 실험계획법을 이용한 SOG 평탄화 공정의 최적화)

  • 임채영;박세근
    • Journal of the Korean Vacuum Society
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    • v.1 no.1
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    • pp.198-205
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    • 1992
  • Abstract-Planarieation technology, which is essential to VLSI, has been developed using non-etch back Spin- On-Glass (SOG). Process factors for 1.5 micron double metal technology are optimized by the statistical design of experiments. Optimum conditions are found to be a process with twice SOG coating, sufficiently long hot plate baking at 300t, and furnace curing for 40 minutes below 400$^{\circ}$C.

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Design of Muffler using Taguchi Method and Experimental Design (다구찌 방법과 실험계획법을 이용한 소음기의 설계 방법)

  • 오재응;차경준;이규태;진정언
    • Transactions of the Korean Society of Automotive Engineers
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    • v.7 no.5
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    • pp.121-129
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    • 1999
  • Recently, the regulations from the govemment and the concems of the people give rise to the interest in exhaust noise of passenger car as much as other vehicles. The exact analysis of various mufflers is needed to reduce the level of exhaust noise. In this paper, we propose a design to improve the mufflers capacity by reducing noise of exhaust system combining Taguchi method and fractional factorial design. In order to measure the performance of a muffler, the performance prediction software which is developed by the Dept. of Automotive Engineering at Hanyang University is used. From the current muffler system we select control factors such as lenght and radius of each component that are thought to be effective on capacity of muffler. Factors are arranged using L18, L27 table of orthogonal array and the fractional factorial design for analysis. We find some significant interaction effects using 1/3 fractional factorial design and accomplish the reduction of noise from the muffler.

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Suspension Parameter Design Using a Desingn of Experiments (실험계획법을 이용한 현가장치의 요소설계)

  • 김상중;박찬종;박태원
    • Transactions of the Korean Society of Automotive Engineers
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    • v.4 no.1
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    • pp.16-27
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    • 1996
  • Using computer in design is a trend in recent years. A good suspension model is depend on the carefully prepared data like joint connection points or spring stiffness, etc. Once a good computer model is obtained, a parametric study for spciffic suspension design factor, like a toe angle, can be done to obtain sensitivity information. Using this information, several important design parameters for a specific design factor can be identified. Once a design of experiments is done using computer models, the results can be used to approximate a function which can best represent the experimentation. An optimum solution of this function can be used to find an optimum design of a suspension system for a specific suspension design factor. Same method is again applied to other design factors iteratively until a good suspension system design is obtained.

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Study on the Design Methodology of Constant Velocity Joints for Passenger Cars using DOE (실험계획법을 활용한 승용차용 등속조인트 설계기법 연구)

  • Jeong, Chang-Hyun;Jung, Do-Hyun;Bae, Won-Rak
    • Transactions of the Korean Society of Automotive Engineers
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    • v.16 no.6
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    • pp.121-133
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    • 2008
  • We presented design methodology of constant velocity joint for passenger cars using design of experiment. On the basis of contact normal stress of internal components of constant velocity joints, we performed a sensitivity analysis of several design parameters. And then we performed robust design and optimization design process. As a result, we could find robust design and also propose the optimized design. Presented design process would be very helpful for engineers who are suffer for new constant velocity joint design.

통계적 실험계획법을 이용한 HDP-CVD로 증착된 실리콘 산화막 공정조건 최적화에 관한 연구

  • Yu Gyeong-Han;Kim Jo-Won;Hong Sang-Jin
    • Proceedings of the Korean Society Of Semiconductor Equipment Technology
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    • 2006.05a
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    • pp.206-210
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    • 2006
  • 본 논문에서는 HDPCVD를 이용한 실리콘 산화막 형성에서 산화막의 특성에 영향을 미치는 RF Power, Gas, 산소 등의 공정조건과 증착된 산화막의 특성을 나타내는 증착율, 균일성 및 굴절율에 관한 주효과와 교호작응을 정량적으로 규명하고, 산화막 증착에서 관심의 대상이 되는 여러가지의 반응변수를 모두 만족시키는 최적의 공정조건을 제시한다. 실험의 효율성을 높이기 위해 통계적인 실험계획법을 활용하여 실험의 회수를 줄이는 한편 반응모델링을 통하여 입력변수와 반응변수의 관계를 시각적으로 도식화 한다. 실험을 통하여 현재 사용되고 있는 공정조건에 대한 개선점을 발견하였으며, 수립된 모델을 바탕으로 한 반응최적화 알고리즘을 통하여 세 가지 반응변수 모두 만족시킬 수 있는 5가지의 입력조건을 제시한다.

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Applications of R package for statistical engineering (통계공학을 위한 R 패키지 응용)

  • Jang, Dae-Heung
    • The Korean Journal of Applied Statistics
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    • v.33 no.1
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    • pp.87-105
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    • 2020
  • Statistical engineering contains the design of experiments, quality control/management, and reliability engineering. R is a free software environment for statistical computing and graphics that is supported by the R Foundation for Statistical Computing. R package has many functions and libraries for statistical engineering. We can use R package as a useful tool for statistical engineering. This paper shows the applications of R package for statistical engineering and suggests a R Task View for statistical engineering.