• Title/Summary/Keyword: Optimal Process

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Optimal 3-D Packing using 2-D Slice Data for Multiple Parts Layout in Rapid Prototyping (신속시작작업에서 2차원 단면데이터를 이용한 3차원 물체의 최적자동배치를 위한 알고리즘의 개발)

  • 허정훈;이건우;안재홍
    • Korean Journal of Computational Design and Engineering
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    • v.2 no.3
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    • pp.195-210
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    • 1997
  • In Rapid Prototyping process, the time required to build multiple prototype parts can be reduced by packing several parts optimally in a work volume. Interactive arrangement of the multiple parts is a tedious process and does not guarantee the optimal placement of all the parts. In this case, packing is a kind of 3-D nesting problem because parts are represented by STL files with 3-D information. 3-D nesting is well known to be a problem requiring an intense computation and an efficient algorithm to solve the problem is still under investigation. This paper proposes that packing 3-D parts can be simplified into a 2-D irregular polygon nesting problem by using the characteristic of rapid prototyping process that the process uses 2-dimensional slicing data of the parts and that slice of the STL parts are composed of polygons. Our algorithm uses no-fit-polygon (NFP) to place each slice without overlapping other slices in the same z-level. The allowable position of one part at a fixed orientation for given parts already packed can be determined by obtaining the union of all NFP's that are obtained from each slice of the part. Genetic algorithm is used to determine the order of parts to be placed and orientations of each part for the optimal packing. Optimal orientation of a part is determined while rotating it about the axis normal to the slice by finite angles and flipping upside down. This algorithm can be applied to any rapid prototyping process that does not need support structures.

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Investigation for Optimization of Ultrasonic Soil-Washing Process for Remediation of Diesel Contaminated Soil (유류오염토양의 복원을 위한 초음파 토양세척 공정의 최적화에 대한 연구)

  • Park, Beom-Guk;Son, Young-Gyu;Hwang, An-Na;Khim, Jee-Hyeong
    • Journal of the Korean Society of Hazard Mitigation
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    • v.11 no.1
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    • pp.101-105
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    • 2011
  • Determination of ultrasonic frequency and experimental design approach to optimization of ultrasonic soil-washing process for remediation of diesel contaminated soil were investigated. Ultrasonic frequencies of 35, 72, and 100 kHz were used for determination of optimal frequency. $MINITAB^{(R)}$ program was used for experimental design of optimal washing condition. The optimal ultrasonic frequency was 35 kHz. Even though the number of cavitation bubble is little, however cavitation bubbles involving larger energy compared with high frequency was generated. Therefore, the removal efficiency at low frequency was higher than at high frequency. However the input energy has to be considered when the process is applied. The statistical tests from a factorial experiment shows that the application of ultrasound and mechanical mixing are the most important factor for design of an ultrasonic soil washing process. The lab-scale experiments are required to get the optimal condition of ultrasound and mechanical mixing for application of ultrasonic soil washing process.

AUTOMATIC DATA COLLECTION TO IMPROVE READY-MIXED CONCRETE DELIVERY PERFORMANCE

  • Pan Hao;Sangwon Han
    • International conference on construction engineering and project management
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    • 2011.02a
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    • pp.187-194
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    • 2011
  • Optimizing truck dispatching-intervals is imperative in ready mixed concrete (RMC) delivery process. Intervals shorter than optimal may induce queuing of idle trucks at a construction site, resulting in a long delivery cycle time. On the other hand, intervals longer than optimal can trigger work discontinuity due to a lack of available trucks where required. Therefore, the RMC delivery process should be systematically scheduled in order to minimize the occurrence of waiting trucks as well as guarantee work continuity. However, it is challenging to find optimal intervals, particularly in urban areas, due to variations in both traffic conditions and concrete placement rates at the site. Truck dispatching intervals are usually determined based on the concrete plant managers' intuitive judgments, without sufficient and reliable information regarding traffic and site conditions. Accordingly, the RMC delivery process often experiences inefficiency and/or work discontinuity. Automatic data collection (ADC) techniques (e.g., RFID or GPS) can be effective tools to assist plant managers in finding optimal dispatching intervals, thereby enhancing delivery performance. However, quantitative evidence of the extent of performance improvement has rarely been reported to data, and this is a central reason for a general reluctance within the industry to embrace these techniques, despite their potential benefits. To address this issue, this research reports on the development of a discrete event simulation model and its application to a large-scale building project in Abu Dhabi. The simulation results indicate that ADC techniques can reduce the truck idle time at site by 57% and also enhance the pouring continuity in the RMC delivery process.

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A Study on Optimal Composition for Composite Solid Propellant under Multiple Criteria (다기준하(多基準下)의 혼성고체추진제 최적조성(混成固體推進劑 最適組成)에 관한 연구(硏究))

  • Jeong, Byeong-Hui;Kim, Gi-Bae
    • IE interfaces
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    • v.1 no.1
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    • pp.17-26
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    • 1988
  • This paper describes a nonlinear goal programming approach to the optimal composition of composite solid propellant taking multiple characteristics into consideration synchronously. The nonlinear goal programming model with response functions, restrictions and the optimal value of each characteristic is developed using Scheffe's "Experiments with mixtures" and preference weighting system. Objective functions are described based on process, performance and assurance characteristics. The systematic approach to optimal composition in this study is proved efficient through a CTPB-AL-AP propellant which is one of composite solid propellant systems.

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ON STOCHASTIC OPTIMAL REINSURANCE AND INVESTMENT STRATEGIES FOR THE SURPLUS

  • Kim, Jai Heui;Lee, Eun Sun
    • Korean Journal of Mathematics
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    • v.16 no.2
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    • pp.145-156
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    • 2008
  • When we consider a life insurance company that sells a large number of continuous T-year term life insurance policies, it is important to find an optimal strategy which maximizes the surplus of the insurance company at time T. The purpose of this paper is to give an explicit expression for the optimal reinsurance and investment strategy which maximizes the expected exponential utility of the final value of the surplus at the end of T-th year. To do this we solve the corresponding Hamilton-Jacobi-Bellman equation.

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The Development of the Real Time Optimal Byproduct Gas Supply System

  • Kim, Jeonghwan;Yi, Heui-Sok;Chonghum Han
    • 제어로봇시스템학회:학술대회논문집
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    • 2002.10a
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    • pp.69.6-69
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    • 2002
  • The optimal byproduct gas supply system was developed for the optimal management of the byproduct gases in the iron and steel making process based on EXCEL environment. It supplies optimal byproduct gas distribution result as well as analysis including expected electricity generation, holder level change, amount of oil consumption, energy distribution to each boiler, and efficiency of energy resource. To reflect the changing environment of the plant such as maintenance, the system was developed to easily change the optimization model for changing configuration of the system. To verify the performance of the system , case studies for various situation was performed with the developed system, a...

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Kinematic Optimal Design of a Stewart Platform based on Dexterity (조작성에 근거한 스튜엇트 플렛폼의 기구학적 최적설계)

  • 김한성;최용제
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1996.04a
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    • pp.771-777
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    • 1996
  • In this paper, an optimal design technique for a Stewart platform has been presented considering workspace and dexterity. In the definition of a design objective function, previously suggested dexterity index was used to be maximized. In this optimal design process, the workspace can be used as design constraint when necessary. An algorithm for workspace computation has been briefly described. Finally, optimal desigm results for some example cases have been presented.

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A Study on Optimal Reflux Ratio for Batch Distillation (회분식 증류공정의 환류비 최적에 관한 연구)

  • 이영상;이의수
    • Journal of Institute of Control, Robotics and Systems
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    • v.8 no.10
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    • pp.833-841
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    • 2002
  • We develope a model that can manipulate the reflux ratio of a batch distillation process in real time for optimal operations. Firstly, reflux ratio decision model for batch distillation unit was developed using the simple short-cut method. Secondly, more detailed rigorous method was applied to improve the accuracy of the model. Based on these models, operational strategies for the optimal reflux ratio was proposed. The results are illustrated with suitable examples and compared with the results using commercial simulator.

Design of the Optimal Input Singals for Parameter Estimation in the ARMAX Model (ARMAX 모델의 매개변수 추정을 위한 최적 입력 신호의 설계)

  • 이석원;양흥석
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.37 no.3
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    • pp.180-185
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    • 1988
  • This paper considers the problem of the optimal input design for parameter estimtion in the ARMAX model in which the system and noise transfer function have the common denominator polynomial. Deriving the information matrix, in detail, for the assumed model structure and using the autocorrelation functin of the filtered input as design variables, it is shown that D-optimal input signal can be realized as an autoregressive moving average process. Computer simulations are carried out to show the standard-deviation reduction in the parameter estimtes using the optimal input signal.

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REGULATION OF β-CATENIN IN THE WNT SIGNALING PATHWAY AND EMT VIA OPTIMAL CONTROL

  • Sooyoun Choi;Il Hyo Jung
    • East Asian mathematical journal
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    • v.39 no.1
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    • pp.65-73
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    • 2023
  • In this paper, we present an optimal control strategy to prevent the EMT process by downregulating the level of overexpressed β-catenin in the cytoplasm. To do this, we propose a mathematical model that expresses relationship between the Wnt signaling pathway and TGF-β in cancer cells. We also define an optimal control problem considering the side effects that occur simultaneously with the method for controlling the concentration of β-catenin. Finally numerical simulations show that treatment effect is quantitatively changes depending on the concentration of core proteins of the Wnt signaling pathway.