• 제목/요약/키워드: response surface methodology(RSM)

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반응표면분석법을 이용한 퍼지제어기의 설계 (Design of a Fuzzy Logic Controller Using Response Surface Methodology)

  • 김동철;이세헌
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2002년도 춘계학술대회 논문집
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    • pp.225-228
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    • 2002
  • When the fuzzy logic controller (FLC), which is designed based on the plant model, is applied to the real control system, satisfactory control performance may not be attained due to modeling errors from the plant model. In such cases, the control parameters of the controller must be adjusted to enhance control performance. Until now, the trial and error method has been used, consuming much time and effort. To resolve such problem, response surface methodology (RSM), a new method of adjusting the control parameters of the controller, is suggested. This method is more systematic than the previous trial and error method, and thus optimal solutions can be provided with less tuning. First, the initial values of the control parameters were determined through the plant model and the optimization algorithm. Then, designed experiments were performed in the region around the initial values, determining the optimal values of the control parameters which satisfy both the rise time and overshoot simultaneously.

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표면반응법을 이용한 자동화 컨테이너 터미널의 버퍼 장치장에서의 장비 규모 결정 (Determination of Fleet Size of Equipment in Buffer Yard of an Automated Container Terminal by using a Response Surface Methodology)

  • 배종욱;양창호;김갑환
    • 한국항해항만학회:학술대회논문집
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    • 한국항해항만학회 2000년도 추계학술대회논문집
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    • pp.121-129
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    • 2000
  • In this paper, we discuss how to operate a buffer yard in an automated container terminal, which will be used for resolving the difficulties to which the interaction between external manned trucks and internal unmanned equipment led. The determination of fleet size of material handling equipment is an important issue in designing of buffer yard in automated container terminals. This research also addresses the issue of determining buffer capacities through simulation. By using response surface methodology (RSM) for efficient experimentation, the optimal combination of design parameters under applicable operational strategies is obtained.

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Application of Response Surface Methodology for optimize the Biostimulant ball and stabilize Heavy metals pollutants in contaminated coastal sediments

  • Song, Young-chae;Subha, Bakthacachallam;Woo, Jung Hui
    • 한국항해항만학회:학술대회논문집
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    • 한국항해항만학회 2015년도 춘계학술대회
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    • pp.179-180
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    • 2015
  • The variety of organic and inorganic pollutants are introduced to coastal sediment and making highly contaminated due to rapid development of industralization and economic development. Numerous contaminants are release into marine sediment and it significantly affect marine aquatic environment. In the present study stated the optimize the biostimulant ball (BSB) in coastal sedimentand stabilse the heavy metals present in the sediment. The effective variables like BSB size, distance and month variables on Cu stabilization was determined by using Response surface methodology(RSM). The analysis of variance (ANOVA) and coefficient determination (R2) of Cu reduction 0.9610 and maximum stabilisation was obtained in 3cm ball size and 5.5cm distance and 4 month interval time. This result revealed that the BSB in effective for Cu reduction in coastal sediment.

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반응표면법과 유한요소법을 이용한 단상 스위치드 릴럭턴스 전동기의 최적 설계 (Single Phase Switched Reluctance Motor Optimum Design Using Response Surface Methodology and Finite Element Method)

  • 임승빈;최재학;박재범;손영규;이주
    • 대한전기학회논문지:전기기기및에너지변환시스템부문B
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    • 제55권12호
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    • pp.596-607
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    • 2006
  • This paper presents Single Phase Switched Reluctance Motor (SPSRM) optimum design for vacuum cleaners using Response Surface Methodology (RSM) to determine geometric parameters, and the 2-D Finite Element Method (FEM) has been coupled with the circuit equations of the driving converter. Additionally, an optimum process for SPSRM has been proposed and peformed with geometric and electric parameters thereby influencing the inductance variation and effective torque generation as design variables. SPSRM performances have also been analyzed to determine an optimal design model for maximized efficiency at high power factor. In order to confirm the propriety of the Finite Element Method and motor performance calculation, simulation waveform and experiment waveform for motor voltage and current were compared.

Employing Response Surface Methodology for optimization of slow release Biostimulant ball in contaminated coastal sediments in Busan, South Korea

  • Song, Young-Chae;Subha, Bakthacachallam;Woo, Jung Hui
    • 한국항해항만학회:학술대회논문집
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    • 한국항해항만학회 2014년도 추계학술대회
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    • pp.87-88
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    • 2014
  • The Coastal sediment is highly contaminated due to ship transportation, industries discharges and urban sources. Various contaminants release into seawater and settle in marine sediment and it significantly affect marine eco system. In the present study evaluated the optimization of slow release biostimulant ball (BSB) in coastal sediment in busan. The effective variables like BSB size, distance and month variables on VS reduction was determined by using Response surface methodology(RSM). The analysis of variance (ANOVA) and coefficient determination (R2) of VS was 0.9369 and maximum reduction of VS was obtained in 3cm ball size and 5.5cm distance and 4 month interval time. This result revealed that the BSB in effective VS reduction in coastal sediment.

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반응 표면법을 이용한 2 단 분사 PCCI 디젤엔진의 운전조건의 영향도 평가에 대한 연구 (Effects of optimal operating conditions on 2-stage injection PCCI diesel engine using Response Surface Methodology)

  • 이재현;김형민;이기형
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2008년도 추계학술대회B
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    • pp.3044-3048
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    • 2008
  • It is well known that Premixed Charge Compression Ignition (PCCI) diesel engines according to many technologies such a change in injection timing, multiple injection strategy, cooled EGR, intake charging and SCV have the potential to achieve homogeneous mixture in the cylinder which result in lower NOx and PM as well as performance improvements. This may generate merely the infinite number of experimental conditions. The use of Response Surface Methodology (RSM) technique can considerably pull down the number of experimental set and time demand. This paper presents the effects of both fuel injection and engine operation conditions on the combustion and emissions in the PCCI diesel engine system. The experimental results have revealed that a change in fuel injection timing and multiple injection strategy along with various operating conditions affect the combustion, emissions and BSFC characteristics in the PCCI engine.

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반응표면법을 이용한 고속 주행용 실외 경비로봇의 현가장치 근사 최적화 (Approximate Optimization of Suspension Mechanism for Outdoor Security Robot using Response Surface Methodology)

  • 고두열;정해관;우춘규;김수현
    • 로봇학회논문지
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    • 제5권2호
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    • pp.135-142
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    • 2010
  • Security robot has gradually developed and deployed in order to protect civilian's lives as well as fortune and subjugate the shortcomings of CCTV which lacks of mobility. We have developed a security robot for outdoor environment and the main purpose of the driving mechanism is to overcome the bumps or projections with high speed. The robot platform consists of 4 omnidirectional wheel-based driving mechanisms and suspension for each driving mechanism. In this paper, principal suspension parameters of outdoor security robot for overcoming obstacles with stability are studied and approximately optimized using Response Surface Methodology (RSM) since it is difficult to find the exact relationship between suspension parameters and the shock, which is significantly associated with stability of the robot, at the robot platform. Simulation using ADAMS is conducted for assessing the feasibility of optimized design parameters.

반응표면법을 이용한 석탄 화력 보일러 연소특성 예측 (Prediction of the Combustion Performance in the Coal-fired Boiler using Response Surface Method)

  • 신성우;김신우;이의주
    • 한국안전학회지
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    • 제32권1호
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    • pp.27-32
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    • 2017
  • The experimental design methodology was applied in the real scale coal-fired boiler to predict the various combustion properties according to the operating conditions and to assess the coal plant safety. Response surface method (RSM) was introduced as a design of experiment, and the database for RSM was provided with the numerical simulation of the coal-fired boiler. The three independent variables, high heating value of coal (HHV), overall stoichiometry excess air ratio (OST), and burner-side stoichiometry excess air ratio (BST), were set to characterize the cross section averaged NOx concentration and temperature distribution. The maximum NOx concentration was predicted accurately and mainly controlled by BST in the boiler. The parabola function was assumed for the zone averaged peak temperature distribution, and the prediction was in a fairly good agreement with the experiments except downstream. Also, the location of the peak temperature was compared with that of maximum NOx, which implies that thermal NOx formation is the main mechanism in the coal-fired boiler. These results promise the wide use of statistical models for the fast prediction and safety assessment.

신경망 기법을 이용한 새로운 반응함수 추정 방법에 관한 연구 (Study on a New Response Function Estimation Method Using Neural Network)

  • ;;신상문;정우식;김철수
    • 품질경영학회지
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    • 제41권2호
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    • pp.249-260
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    • 2013
  • Purpose: The main objective of this paper is to propose an RD method by developing a neural network (NN)-based estimation approach in order to provide an alternative aspect of response surface methodology (RSM). Methods: A specific modeling procedure for integrating NN principles into response function estimations is identified in order to estimate functional relationships between input factors and output responses. Finally, a comparative study based on simulation is performed as verification purposes. Results: This simulation study demonstrates that the proposed NN-based RD method provides better optimal solutions than RSM. Conclusion: The proposed NN-based RD approach can be a potential alternative method to utilize many RD problems in competitive manufacturing nowadays.

Optimization of photo-catalytic degradation of oil refinery wastewater using Box-Behnken design

  • Tetteh, Emmanuel Kweinor;Naidoo, Dushen Bisetty;Rathilal, Sudesh
    • Environmental Engineering Research
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    • 제24권4호
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    • pp.711-717
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    • 2019
  • The application of advanced oxidation for the treatment of oil refinery wastewater under UV radiation by using nanoparticles of titanium dioxide was investigated. Synthetic wastewater prepared from phenol crystals; Power Glide SAE40 motor vehicle oil and water was used. Response surface methodology (RSM) based on the Box-Behnken design was employed to design the experimental runs, optimize and study the interaction effects of the operating parameters including catalyst concentration, run time and airflow rate to maximize the degradation of oil (SOG) and phenol. The analysis of variance and the response models developed were used to evaluate the data obtained at a 95% confidence level. The use of the RSM demonstrated the graphical relationship that exists between individual factors and their interactive effects on the response, as compared to the one factor at time approach. The obtained optimum conditions of photocatalytic degradation are the catalyst concentration of 2 g/L, the run time of 30 min and the airflow rate of 1.04 L/min. Under the optimum conditions, a 68% desirability performance was obtained, representing 81% and 66% of SOG and phenol degradability, respectively. Thus, the hydrocarbon oils were readily degradable, while the phenols were more resistant to photocatalytic degradation.