• Title/Summary/Keyword: optimal experimental design

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The Parameter Optimization Decision of Plastic Molding Using Taguchi Method (다구찌 방법을 이용한 난연ABS 사출공정의 최적조건 결정)

  • 조용욱;박명규
    • Journal of the Korea Safety Management & Science
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    • v.2 no.2
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    • pp.167-176
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    • 2000
  • A study to analyze and solve problems of plastic injection molding experiment has presented in this paper. We have taken Taguchi's parameter design approach, specifically orthogonal array, and determined the optimal levels of the selected variables through analysis of the experimental results using S/N ratio.

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Optimization of Cometabolic Trichloroethylene Degradation Conditions by Response Surface Analysis (반응표면 분석법을 이용한 트리클로로에틸렌의 공대사적 분해조건 최적화)

  • 윤성준
    • KSBB Journal
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    • v.15 no.4
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    • pp.393-397
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    • 2000
  • The cometaboic biodegradation conditionso f trichloroethylene(TCE) by Burkholderia cepacia G4 were optimized using response surface analysis. The experimental sets of phenol concentration temperature and pH were designed using central composite experimental design. The optimal conditions of phenol concentration temperature and pH were determined to be 0.91 ppm 21.5$^{\circ}C$ and 7.65 respectively by the Ridge analysis of the contour plot for TCE biodegradation rates. The TCE biodegradation rate could be enhanced up to 2.43 nmol.mg protein$.$min by response surface methodology.

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Optimum Machining Condition Determination for Pedicle Screw using Experimental Design Method (실험계획법에 의한 척추경 나사의 최적 절삭조건 결정)

  • Jang, Sung-Min;Cho, Myeong-Woo
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.3 no.2
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    • pp.3-9
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    • 2004
  • The main objectives of this paper are to determine optimum cutting conditions using experimental design method to manufacture pedicle screws. Generally, titanium alloys are known as difficult-to cut materials. In the machining of titanium alloy, high cutting temperature and strong chemical affinity between the tool and the work material are generated because of Its low thermal conductivity and chemical reactivity. Such phenomenon cause increase of tool wear and deterioration of surface quality. Thus, in this paper, required experimental investigations are performed to evaluate the machinability of titanium materials With tungsten carbide tools Required simulation and experiments are performed, and the results are investigated.

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A Study on the Forming Process Optimization of a Small Tube (소구경 관단 성형공정 최적화)

  • Lee, Jung-Hwan;Lee, Seung-Hoon;Oh, Hyun-Ok
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.33 no.3
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    • pp.71-78
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    • 2010
  • The end shape of tube for automobile power steering system has influence on the ability of performance. In this case study, we attempted to optimize the forming process of a small tube using Taguchi experimental design methodology. A preliminary experiment was conducted and four main control factors were selected. The experiment was set up as an $L_9(3^4)$ orthogonal array, and determined the optimal levels of the four factors through the analysis of the experimental results. As a result, the performance characteristic(close adhesion power) of the product was improved about 36%. In addition, the process capability index $C_{pk}$ is enhanced from 0.94 to 6.85.

DESIGN AND VALIDATION OF ROBUST AND AUTONOMOUS CONTROL FOR NUCLEAR REACTORS

  • SHAFFER ROMAN A.;EDWARDS ROBERT M.;LEE KWANG Y.
    • Nuclear Engineering and Technology
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    • v.37 no.2
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    • pp.139-150
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    • 2005
  • A robust control design procedure for a nuclear reactor has been developed and experimentally validated on the Penn State TRIGA research reactor. The utilization of the robust controller as a component of an autonomous control system is also demonstrated. Two methods of specifying a low order (fourth-order) nominal-plant model for a robust control design were evaluated: 1) by approximation based on the 'physics' of the process and 2) by an optimal Hankel approximation of a higher order plant model. The uncertainty between the nominal plant models and the higher order plant model is supplied as a specification to the ,u-synthesis robust control design procedure. Two methods of quantifying uncertainty were evaluated: 1) a combination of additive and multiplicative uncertainty and 2) multiplicative uncertainty alone. The conclusions are that the optimal Hankel approximation and a combination of additive and multiplicative uncertainty are the best approach to design robust control for this application. The results from nonlinear simulation testing and the physical experiments are consistent and thus help to confirm the correctness of the robust control design procedures and conclusions.

An Experimental Study on the Dehumidification Characteristics and the Effectiveness for Operating Conditions of a Desiccant Rotor (운전조건에 따른 제습로터의 제습특성과 유용도에 관한 실험적 연구)

  • Kang, Byung-Ha;Lee, Jin-Joo;Kim, Suk-Hyun
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.24 no.1
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    • pp.29-36
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    • 2012
  • An experimental study has been carried out to investigate the dehumidification characteristics for several operating conditions of a compact desiccant rotor. This problem is of particular interest in the design of a desiccant type of dehumidifier. Room temperature, room humidity, regeneration temperature, revolution speed and frontal air velocity of desiccant rotor are varied as operating conditions. The results obtained indicate that dehumidification rate is increased with an increase in the room humidity while dehumidification effectiveness is not changed much. It is also found that the optimal rotor speed and optimal regeneration temperature exist for maximum dehumidification rate and dehumidification effectiveness.

Optimal Water Lubrication Condition for an Axle Shaft Cold Forging (Axle Shaft 냉간 단조를 위한 최적 수계윤활조건)

  • Park, Ji-Won;Lee, Jong-Soo;Choi, Young-Jun;Kim, Jong-Ho;Lee, Seok-Soon
    • Journal of the Korean Society for Precision Engineering
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    • v.27 no.1
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    • pp.84-90
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    • 2010
  • The cold forging Process applies surface lubricant coating in order to smooth the friction during the cold forging process. Currently, most of the lubrication processes apply the zinc phosphate coating, which requires 11 steps and disposes sludge. But the water based lubrication process, which has been newly developed, takes 3 steps only and does not cause sludge. In this study, we present the optimal condition of water based lubrication for the cold forging of axle shaft by an experimental design method. Experimental results with minitab shall be able to predict the optimum water based lubricating conditions for the cold forging processes.

Performance Optimization of the Two-Stage Gas Gun Based on Experimental Result (2-단계 기포(氣砲)의 성능 최적화에 관한 연구)

  • 이진호;배기준;전권수;변영환;이재우;허철준
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2003.10a
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    • pp.145-150
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    • 2003
  • The present study aims to optimize the performance of the Two-Stage Gas Gun by using the experimentally obtained data. RSM(Response Surface Method) was adopted in the optimization process to find the operating parameter than can maximize the projectile speed with the minimum number of tests. To decide the test points which results can consist of the response surface, 3$^{k}$ full factorial method was used, and the design variables were chosen with piston mass and 2$^{nd}$ driver fill pressure. The response surface was composed by nine test results and consequently the optimization was done with GENOCOP III, inherently GA code, in order to seek the optimal test point. The optimal test condition from the response surface was verified by the experiment. Results showed that the optimization process with response surface can successfully predict the test results fairly well. This study shows the possibility of performance optimization for the experimental facilities using numerical optimization algorithm.

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Error-robust experimental designs: D- and heteroscedastic G-optimalities (D-와 이분산 G-최적을 중심으로 한 오차로버스트 실험계획법)

  • 김영일
    • The Korean Journal of Applied Statistics
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    • v.6 no.2
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    • pp.303-309
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    • 1993
  • In this paper we have defined two approaches to be error-robust when the precise form of error-structure is unknown. An experiment is optimal by the first criterion if it maximizes the minimum effciency over all candidates of error structure and is optimal by the second if it maximizes the minimum average of the efficiency over all candidates of error structure. In order to appreciate the basic implications of each design criterion, these approaches are applied to two different experimental situations, D- and heteroscedastic G-optimalities.

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