• 대한기계학회논문집B
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• 제39권10호
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• pp.831-842
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• 2015

본 논문에서는 사류펌프의 성능을 향상시키는 최적화 방법을 개발하였다. 본 연구에서 개발한 최적화 방법은 유동해석코드인 CFX 와 최적화 소프트웨어인 HEEDS 를 연계하는 프로세스로 이루어진다. CFX 는 유체기계해석 분야에서는 잘 알려진 소프트웨어로 해석결과의 신뢰성은 이미 검증되었으나, 새롭게 소개되고 있는 HEEDS 는 주로 구조해석 분야에서 최적화를 수행한 사례가 보고되어 있다. 이에 본 논문을 통해 유체기계에 적용하여 최적화 결과를 검토하였다. HEEDS 에는 SHERPA 라는 최적화 기법이 탑재되어 있으며, 다수의 설계변수를 설정할 수 있어 변수간의 교호작용 등을 효율적으로 검토할 수 있다. 본 논문에서는 DOE 방법으로 최적화가 이루어진 사류펌프 임펠러에 대해 개발된 방법을 적용하여 최적화 결과의 타당성과 안정성을 검토하였으며, 같은 방법을 디퓨저에 적용하여 최적화 형상을 검토하였다. 본 논문에서 개발된 최적화 방법을 이용하여 사류펌프 최적화를 수행한 결과, DOE 방법을 이용한 설계보다 개선된 결과를 적절한 시간 내에 얻을 수 있음을 확인하였다.

• 상하수도학회지
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• 제18권2호
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• pp.254-269
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• 2004

Polysilicato-iron coagulant (PSI) is receiving attention in Japan as a substitute for aluminum-based coagulants. In the first part of this article, coagulation, sedimentation and filtration experiments were carried out using kaolin clay particles as the turbidizing material and four types of PSI with various molar ratios of polysilicic acid to ferric chloride (Si/Fe ratio). Results demonstrate that use of a PSI with a high Si/Fe ratio can cause a more dramatic decrease in treated water turbidity but a higher suction time ratio (STR) than when PACl is used. However, optimization by increasing the rapid agitation strength GR is found to greatly improve the STR. In addition, the series of filtration experiments verified that optimization of GR is greatly effective in controlling rapid increases in filter head loss, and also formation of a thin aging layer in the upper part of the filter bed by slow-start filtration is effective in improving filtered water turbidity over the entire filtration process. The second part of this article describes two innovative filtration techniques to increase the particle separation efficiency; (1) coagulant-coated filter medium by enhancing the electrical potential of the surface of the filter medium, and (2) coagulant dosing in influent by controlling the electrical potential of particles entering the filter layer. From the results of the various filtration experiments using a pilot plant, these two techniques were found to be very effective to reduce the effluent water turbidity from the start to the end of a filter run. Moreover, in the filtration experiments using these two methods simultaneously, higher removal efficiency of approximately 3-log (99.7%) was realized, resulting that the finished water turbidity was accordingly reduced to 0.004mg/L.

• 공업화학
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• 제33권4호
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• pp.402-407
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• 2022

실험계획법을 이용하여 MOF-5 합성공정의 최적화에 대한 연구를 수행하였다. 먼저 전구체의 농도를 최적화 하기 위하여 혼합물 설계법을 이용하였다. 합성에 사용되는 세 가지 전구체인 terephthalic acid, zinc acetate dihydrate, N,N-dimethylformamide의 농도비를 extreme vertices design methods로 최적화 하였다. MOF-5 합성을 위한 최적의 농도는 1 mol : 2.7 mol : 40 mol로 예측되었다. 이후, 온도, 시간 및 교반 속도와 같은 합성 반응 조건이 합성에 미치는 영향을 분석하기 위해 다단계 요인 설계법을 사용하였다. 수행된 통계 분석에 따라 교반 속도는 후속 연구에서 제외되었다. 합성시간과 온도를 고려한 합성 공정 최적화는 중앙 조성 설계법을 이용하였다. 13번의 합성 실험을 통해 도출된 2차 모델 방정식을 이용하여 결과를 추정하였다. 설계에 사용된 모델에 의하면 119 ℃ 및 10.4 h 조건에서 합성된 MOF-5가 최대의 결정화도를 가지는 것으로 예측되었다.

• 한국염색가공학회지
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• 제21권5호
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• pp.41-50
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• 2009

Design of experiments (DoE) concept was successfully applied to determine the optimum processing conditions that yield maximum % exhaustion for berberine interaction with synthetic tanning agent pretreated polyamide substrates. The potential of synthetic tanning agent to provide anionic sites on the polyamide for berberine interaction which is cationic in nature was tested to increase the % exhaustion of berberine in this article. Experiments were designed according to Central Composite Rotatable Design (CCRD). The three factors for synthetic tanning agent pretreatment and two factors for berberine interaction each at five different levels, including central and axial points were considered. Experiments were conducted in a laboratory scale infra-red treatment instrument according to CCRD. For each response, second order polynomial models were developed using multiple linear regression analysis incorporating linear, interactions and squared effects of all variables and then optimized. The significance of the mathematical model developed was ascertained using Excel regression (solver) analysis module. Analysis of variance (ANOVA) was performed to check the adequacy and accuracy of the fitted models. The response surfaces and contour maps showing the interaction of process variables were constructed. Applying Monte Carlo simulation, response surface and contour plots, optimum operating conditions were found and at this optimum point, % exhaustion of 81% and 74% respectively for synthetic tanning agent pretreatment and berberine interaction were observed and subsequently the results were experimentally investigated.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2009년도 춘계학술대회 논문집
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• pp.809-810
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• 2009

• 소프트웨어공학소사이어티 논문지
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• 제26권1호
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• pp.1-16
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• 2013

가변 길이 정보 메시지는 컴퓨터 네트워크 시스템을 통하여 효율적인 정보 제공을 하기 위하여 개발된 통신 프로토콜 표준이다. 이러한 가변 길이 정보 메시지는 정보 수신자의 정보 요구 수준 및 정보 수신자의 정보 접근 수준에 따라 정보의 상세함을 가변적으로 조절 할 수 있도록 설계된 메시지이다. 정보 메시지 최적화 기술은 정보 메시지를 다양한 데이터 압축 기술을 사용하여, 메시지 전체의 물리적인 사이즈를 줄이려고 노력하였다. 정보 메시지 최적화에서는 정보의 정확성을 최우선으로 고려하고 있어, 최적화 전/후가 동일한 비손실 압축 기법을 응용하여 사용하고 있다. 하지만, 이러한 비손실 압축 기법만을 사용하면, 압축효율성이 현저하게 떨어져, 제한된 대역폭을 갖는 무선 네트워크 환경에서의 효율적인 전송이 이루어지지 않는다. 본 논문에서는 가변 길이 정보 메시지를 대상으로, 메시지 필드 단위로 정보의 최적화를 수행하여 메시지의 길이를 물리적으로 좀 더 효과적으로 최적화하도록 시도하였다. 또한, 본 논문에서 제시한 최적화 방법의 효율성을 보이기 위하여, 가변 길이 정보 메시지에 대한 최적화 실험을 수행하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권8호
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• pp.3512-3528
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• 2016

A network with high mobility nodes or vehicles is vehicular ad hoc Network (VANET). For improvement in communication efficiency of VANET, many techniques have been proposed; one of these techniques is vehicular node clustering. Cluster nodes (CNs) and Cluster Heads (CHs) are elected or selected in the process of clustering. The longer the lifetime of clusters and the lesser the number of CHs attributes to efficient networking in VANETs. In this paper, a novel Clustering algorithm is proposed based on Ant Colony Optimization (ACO) for VANET named ACONET. This algorithm forms optimized clusters to offer robust communication for VANETs. For optimized clustering, parameters of transmission range, direction, speed of the nodes and load balance factor (LBF) are considered. The ACONET is compared empirically with state of the art methods, including Multi-Objective Particle Swarm Optimization (MOPSO) and Comprehensive Learning Particle Swarm Optimization (CLPSO) based clustering techniques. An extensive set of experiments is performed by varying the grid size of the network, the transmission range of nodes, and total number of nodes in network to evaluate the effectiveness of the algorithms in comparison. The results indicate that the ACONET has significantly outperformed the competitors.

• Bulletin of the Korean Chemical Society
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• 제25권3호
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• pp.377-381
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• 2004

Chiral separation of aryalcohols such as 1-phenyl-propanol, 1-phenyl-2-proanol, and 2-phenyl-1-propanol by capillary electrophoresis has been optimized using the overlapping resolution mapping (ORM) scheme. Three critical parameters of the electrophoretic media, i.e. phosphate concentration, sulfated ${\beta}$-cyclodextrin (CD) concentration and pH, were chosen for optimization. The working ranges were initially presumed by 7 preexperiments. Further optimization was carried out by another seven experiments within the narrow working ranges. From the final overlapping resolution mapping all peak pairs, the area of maximum separations were located. Using the conditions of a point in this area, we found that the target compounds were a baseline separated within 30 min. The maximum separation conditions of arylalcohols were a chiral selector concentration of 5.4%, a phosphate concentration of 28 mM, and a pH of 5.0.

• 제어로봇시스템학회논문지
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• 제21권12호
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• pp.1193-1200
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• 2015

An effective swing trajectory of legged robots is different from the swing trajectories of humans or animals because of different dynamic characteristics. Therefore, it is important to find optimal parameters through experiments. This paper proposes a real-time nonlinear programming (RTNLP) method for optimization of the swing trajectory of the legged robot. For parameterization of the trajectory, the swing trajectory is approximated to parabolic and cubic spline curves. The robotic leg is position-controlled by a high-gain controller, and a cost function is selected such that the sum of the motor inputs and tracking errors at each joint is minimized. A simplified dynamic model is used to simulate the dynamics of a robotic leg. The purpose of the simulation is to find the feasibility of the optimization problem before an actual experiment occurs. Finally, an experiment is carried out on a real robotic leg with two degrees of freedom. For both the simulation and the experiment, the design variables converge to a feasible point, reducing the cost value.

• The Journal of Asian Finance, Economics and Business
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• 제2권2호
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• pp.13-18
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• 2015

In this paper the DRC model is presented for solving multi objective problem. The proposed model is a combination of data envelopment analysis, Cuckoo algorithm and the response surface method. Due to reasons like costs, time and irreversible damages, it is not possible to analyze each and every one of the proposed models in practice, so the simulation is used. Since the number of experiments for simulation process is high then the optimization has gone to practice and directs the simulation process. The response surface method is used as one of the approaches of simulation optimization. Furthermore, data envelopment analysis is used to consider several response surfaces as efficiency response surface. Then this efficiency response surface is solved by Cuckoo algorithms. The main advantage of DRC model is to make one efficiency response surface function instate of multi surface function for every output and also using the advantages of Cuckoo algorithms. In order to demonstrate the effectiveness of the proposed approach, the branches of Refah bank in Mashhad is analyzed and the results are presented.