• 제목/요약/키워드: Design of experiments

검색결과 589건 처리시간 0.205초

실험계획법과 유한요소해석을 연계한 사출성형 공정의 최적설계 (Optimal Design for Injection Molding Processes using Design of Experiments and Finite Element Analysis)

  • 박근;안종호;최상련
    • 한국소성가공학회:학술대회논문집
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    • pp.150-153
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    • 2001
  • The present work concerns optimal design for the injection molding process of a deflection yoke (coil separator). The optimal design for the injection molding process is developed using design of experiments and finite element analysis. Two design of experiments approaches are applied such as: the design of experiment for mold design and the design the experiments for determination of process parameters. Finite element analyses have been carried out as a design of experiments for mold design: runner system and cooling channel. In order to determine optimal process experiments have been performed for various process conditions with the design of experiments scheduling.

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순차적 실험계획법과 인공신경망을 이용한 제한조건이 없는 문제의 최적화 알고리즘 개발 (Development of Optimization Algorithm for Unconstrained Problems Using the Sequential Design of Experiments and Artificial Neural Network)

  • 이정환;서명원
    • 대한기계학회논문집A
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    • v.32 no.3
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    • pp.258-266
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    • 2008
  • The conventional approximate optimization method, which uses the statistical design of experiments(DOE) and response surface method(RSM), can derive an approximated optimum results through the iterative process by a trial and error. The quality of results depends seriously on the factors and levels assigned by a designer. The purpose of this study is to propose a new technique, which is called a sequential design of experiments(SDOE), to reduce a trial and error procedure and to find an appropriate condition for using artificial neural network(ANN) systematically. An appropriate condition is determined from the iterative process based on the analysis of means. With this new technique and ANN, it is possible to find an optimum design accurately and efficiently. The suggested algorithm has been applied to various mathematical examples and a structural problem.

실험계획법을 이용한 예인 음탐기용 음향패키지 형상 연구 (A study on configuration of acoustic package for towed array sonar using design of experiments)

  • 이정현;신증호;권오조;김군칠
    • 한국음향학회지
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    • v.38 no.2
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    • pp.200-206
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    • 2019
  • 본 연구에서는 예인 음탐기용 음향패키지에 대한 수신전압감도 특성을 분석하기 위해 수치해석과 실험계획법을 적용하였다. 수치해석 결과는 초기 설계된 음향패키지의 구조 공진 모드 특성으로 인한 수신전압감도 변화를 보여준다. 수신전압감도 편차를 줄이기 위해 도출된 음향패키지 설계 변수의 영향은 실험계획법을 통해 분석하였다. 수신전압감도 편차는 수중청음기 쉴드캔 두께(t)의 변화에 가장 민감한 것을 확인하였다. 수조시험 결과 실험계획법에 의해 도출된 음향패키지는 수신전압감도 편차가 감소됨을 확인하였다.

프런트 필라 트림의 내열특성 향상을 위한 순차적 실험계획법과 인공신경망 기반의 최적설계 (Optimum Design based on Sequential Design of Experiments and Artificial Neural Network for Heat Resistant Characteristics Enhancement in Front Pillar Trim)

  • 이정환;서명원
    • 한국정밀공학회지
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    • v.30 no.10
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    • pp.1079-1086
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    • 2013
  • Optimal mount position of a front pillar trim considering heat resistant characteristics can be determined by two methods. One is conventional approximate optimization method which uses the statistical design of experiments (DOE) and response surface method (RSM). Generally, approximated optimum results are obtained through the iterative process by a trial and error. The quality of results depends seriously on the factors and levels assigned by a designer. The other is a methodology derived from previous work by the authors, which is called sequential design of experiments (SDOE), to reduce a trial and error procedure and to find an appropriate condition for using artificial neural network (ANN) systematically. An appropriate condition is determined from the iterative process based on the analysis of means. With this new technique and ANN, it is possible to find an optimum design accurately and efficiently.

크리킹을 이용한 최적화 알고리즘 (An Optimization Algorithm Using Kriging)

  • 박정선;노영희;임종빈
    • 한국항공운항학회지
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    • v.14 no.1
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    • pp.36-42
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    • 2006
  • Kriging has been effectively used to approximate for optimization. This study has been devised to improve efficiency and accuracy of approximate optimal design using Kriging. The design of experiments (DOE), the classical design and space-filling design, are used to provide maximum information using minimum number of design of experiments. The proposed methodology is applied to the designs of 3-bar truss and Sandgren's pressure vessel.

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실험계획법을 이용한 연삭가공물의 형상오차 분석 (Geometric Error Analysis of Surface Grinding by Design of Experiments)

  • 지용주;곽재섭;하만경
    • 한국공작기계학회논문집
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    • v.13 no.4
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    • pp.1-8
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    • 2004
  • Various controllable parameters of an experiment have influence on grinding process. In order to get good products with a high quality, these parameters should be considered whether each parameter has relations to the quality. This paper describes the use of the design of experiments to minimize geometric error in surface grinding. Controllable parameters for the design of experiments were selected as spindle speed, table speed, depth of cut and grain size. From the experimental results, a degree of influence between these parameters and the geometric error was evaluated. An optimal set of grinding conditions was obtained by means of analysis of variance(ANOVA).