• Title/Summary/Keyword: Design of experiments

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Wind Turbine Blade Design using Design of Experiments (실험계획법을 이용한 풍력발전기용 블레이드의 설계)

  • Kang, Ki-Weon;Lee, Seung-Pyo;Chang, Se-Myong;Lee, Jang-Ho
    • 한국신재생에너지학회:학술대회논문집
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    • pp.422-422
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    • 2009
  • This paper describes the structural design of small wind turbine blade by using design of experiments. Blade structure consists of skin, spar and foam. The materials for skin and spar are a kind of Glass/Epoxy and form is polyurethane. It has 7 lay-ups with different ply angle. A factorial design is applied to design the ply angles considering manufacturing constraints and to investigate the safety factor which is calculated by structural analysis. In order to perform the structural analysis, the commercial software ABAQUS is used. Tsai-Wu failure criterion is chosen to compute safety factor. The determination of the significance of effects in the experiments is made through the analysis of variance. The results show that ply angle at skin affects the safety factor of wind turbine blade. And from this result, optimal ply angles of composite blade are achieved.

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Improving Process Stability Using Design of Experiments

  • Ko, Je-Suk
    • Journal of the Korean Data and Information Science Society
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    • v.17 no.2
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    • pp.633-645
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    • 2006
  • The sheet metal stamping process continues to be a challenge to the field of science and engineering. The focus of this paper is to gain a better understanding of the sheet metal stamping process. By using Finite Element analysis and Design of Experiments, we are trying to analyze the stamping variables and determine which ones influence the stamping operations most.

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Aspects of Process Variables in Stamping Press Lines

  • Ko, Je-Suk
    • Journal of the Korean Data and Information Science Society
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    • v.17 no.4
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    • pp.1299-1307
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    • 2006
  • This study investigates solving production problems in an automotive stamping plant using Finite Element (FE) analysis. The fundamentals of stamping, metal plasticity and FE analysis are developed. In this paper, we provide the basis for a simulation of the stamping of a production part, the automotive rear floorpan. On-plant factorial Design of Experiments (DoE) were simulated using the floorpan model. The accuracy of the simulations was undetermined because of variability in the DoE results. Predictions of flange shape, wrinkling and thickness show qualitative agreement with manufactured parts and indicate that simulating an industrial part is feasible.

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Study on the Size of Minimal Standardized Detectable Difference in Balanced Design of Experiments (실험계획법에서 최소 표준화 검출 가능 효과의 크기에 관한 연구)

  • 임용빈
    • Journal of the Korean Society for Quality Management
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    • v.26 no.4
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    • pp.239-249
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    • 1998
  • In balanced design of experiment sample size is determined to detect a certain standardized size of effect with power 1-$\beta$ at the level of significance $\alpha$. Tables (Marvin, et al (1970) and Lorenzen and Anderson(1993) and charts (Odeh and Fox(1991)) are available to determine the sample size in balanced design of experiments. To simplify those tables and charts simple MATLAB program is used to find the minimal standardized detectable difference $\delta$ when $\alpha , \beta$ and sample size are given.

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Analysis and Design of Humanoid Robot Foot using the Design of Experiments (실험 계획법을 이용한 휴머노이드 발의 설계 및 해석)

  • Yoo, Young-Kuk;Kim, Jin-Geol
    • Proceedings of the KIEE Conference
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    • pp.1791-1792
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    • 2008
  • 휴머노이드 로봇은 기구적으로 불안정성을 내포하고 있기 때문에 이것에 대한 안정화를 하기 위해서 연구자들은 많은 방법을 사용하고 있다. 본 연구자는 실험 계획법(Design of Experiments)을 통해 본 연구자가 개발한 ISHURO-II의 발의 설계를 변경하였다. 퍼지 알고리즘을 이용하여 아랫부분에 장착된 FSR(Force Sensing Resistor)센서에서 ZMP(Zero Moment Point)의 값을 비교하여 더욱 안정된 보행이 가능하도록 하였다. 적용된 안정화 알고리즘의 성능은 VC++ 및 동역학 해석 프로그램을 이용한 시뮬레이션을 통해 검증하였다.

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Optimum Design Based on Sequential Design of Experiments and Artificial Neural Network for Enhancing Occupant Head Protection in B-Pillar Trim (센터 필라트림의 FMH 충격성능 향상을 위한 순차적 실험계획법과 인공신경망 기반의 최적설계)

  • Lee, Jung Hwan;Suh, Myung Won
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.37 no.11
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    • pp.1397-1405
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    • 2013
  • The optimal rib pattern design of B-pillar trim considering occupant head protection can be determined by two methods. One is the conventional approximate optimization method that uses the statistical design of experiments (DOE) and response surface method (RSM). Generally, approximated optimum results are obtained through the iterative process by trial-and-error. The quality of results strongly depends on the factors and levels assigned by a designer. The other is a methodology derived from previous work by the authors, called the sequential design of experiments (SDOE), to reduce the 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.

Development of Optimization Algorithm Using Sequential Design of Experiments and Micro-Genetic Algorithm (순차적 실험계획법과 마이크로 유전알고리즘을 이용한 최적화 알고리즘 개발)

  • Lee, Jung Hwan;Suh, Myung Won
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.38 no.5
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    • pp.489-495
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    • 2014
  • A micro-genetic algorithm (MGA) is one of the improved forms of a genetic algorithm. It is used to reduce the number of iterations and the computing resources required by using small populations. The efficiency of MGAs has been proved through many problems, especially problems with 3-5 design variables. This study proposes an optimization algorithm based on the sequential design of experiments (SDOE) and an MGA. In a previous study, the authors used the SDOE technique to reduce trial-and-error in the conventional approximate optimization method by using the statistical design of experiments (DOE) and response surface method (RSM) systematically. The proposed algorithm has been applied to various mathematical examples and a structural problem.

Optimal Design for the Thermal Deformation of Disk Brake by Using Design of Experiments and Finite Element Analysis (실험계획법과 유한요소해석에 의한 디스크 브레이크의 열변형 최적설계)

  • Lee, Tae-Hui;Lee, Gwang-Gi;Jeong, Sang-Jin
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.25 no.12
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    • pp.1960-1965
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    • 2001
  • In the practical design, it is important to extract the design space information of a complex system in order to optimize the design because the design contains huge amount of design conflicts in general. In this research FEA (finite element analysis) has been successfully implemented and integrated with a statistical approach such as DOE (design of experiments) based RSM (response surface model) to optimize the thermal deformation of an automotive disk brake. The DOE is used for exploring the engineer's design space and for building the RSM in order to facilitate the effective solution of multi-objective optimization problems. The RSM is utilized as an efficient means to rapidly model the trade-off among many conflicting goals existed in the FEA applications. To reduce the computational burden associated with the FEA, the second-order regression models are generated to derive the objective functions and constraints. In this approach, the multiple objective functions and constraints represented by RSM are solved using the sequential quadratic programming to archive the optimal design of disk brake.

Optimum Design of Formed Tool for Die of Bearing Rubber Seal Using Design of Experiments (실험계획법에 의한 자동차용 러버실 금형가공을 위한 총형공구의 최적설계)

  • Lee, Li-Hai;Lim, Pyo;Lee, Hi-Koan;Yang, Gyun-Eui
    • Transactions of the Korean Society of Automotive Engineers
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    • v.15 no.4
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    • pp.47-53
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    • 2007
  • A bearing is one of core parts in automobile. Rubber seal of the bearing is important to improve performance of bearing, formed by hot-press die of rubber seal for the intricate shape. In this study, formed tools are used to machine die of bearing rubber seal and the machining operation is classified into the several process of high precision. Design of experiments is used to optimize selection of the formed tools for the efficient machining of the hot-press die. The cutting force, tool wear and tool life are determined to characteristics. And, the clearance angle, the rake angle and the length cutting edge are considered as the major factors. Experiments are repeated to use one-way factorial design, and tool life is predicted by regression model.