• Title/Summary/Keyword: Optimum sensitivity analysis

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Optimization of Truss Structure by Genetic Algorithms (유전자 알고리즘을 이용한 트러스 구조물의 최적설계)

  • 백운태;조백희;성활경
    • Korean Journal of Computational Design and Engineering
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    • v.1 no.3
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    • pp.234-241
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    • 1996
  • Recently, Genetic Algorithms(GAs), which consist of genetic operators named selection crossover and mutation, are widely adapted into a search procedure for structural optimization. Contrast to traditional optimal design techniques which use design sensitivity analysis results, GAs are very simple in their algorithms and there is no need of continuity of functions(or functionals) any more in GAs. So, they can be easily applicable to wide territory of design optimization problems. Also, virtue to multi-point search procedure, they have higher probability of convergence to global optimum compared with traditional techniques which take one-point search method. The introduction of basic theory on GAs, and the application examples in combination optimization of ten-member truss structure are presented in this paper.

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Simulation and Experiment of Injection Molding Process for Superalloy Feedstock

  • Jung, Im Doo;Kim, Youngmoo;Park, Seong Jin
    • Journal of Powder Materials
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    • v.22 no.1
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    • pp.1-5
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    • 2015
  • Powder injection molding is an important manufacturing technology to mass produce superalloy components with complex shape. Injection molding step is particularly important for realizing a desired shape, which requires much time and efforts finding the optimum process condition. Therefore computer aided engineering can be very useful to find proper injection molding conditions. In this study, we have conducted a finite element method based simulation for the spiral mold test of superalloy feedstock and compared the results with experimental ones. Sensitivity analysis with both of simulation and experiment reveals that the melt temperature of superalloy feedstock is the most important factor for the full filling of mold cavity. The FEM based simulation matches well the experimental results. This study contributes to the optimization of superalloy powder injection molding process.

Application of Stress Optimization for Preventing the Delamination of the Plastic IC Package in Reflow Soldering Process (리플로 납땜과정에서 플라스틱 IC 패키지의 박리방지를 위한 응력최적설계의 적용)

  • Kim, Geun-Woo;Lee, Kang-Yong;Kim, Ok-Whan
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.28 no.6
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    • pp.709-716
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    • 2004
  • In order to prevent the interface delamination of an plastic IC package in the infrared (IR) soldering process, we tried to reduce stress by parameterization, sensitivity analysis and unconstraint optimization. The design variables of dimensions and material properties are determined among all the possible variables from the parametric study. Their optimized values are determined by applying the unconstraint optimization to the parameterized IC package. The maximum von-Mises stress value decreases greatly by optimum design.

Optimal Shape of a Parallel-Flow Heat Exchanger by Using a Response Surface Method (반응표면법을 이용한 평행류 열교환기의 형상 최적화)

  • Oh, Seok-Jin;Lee, Kwan-Soo
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.28 no.3
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    • pp.296-303
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    • 2004
  • The heat and flow characteristics in a single-phase parallel-flow heat exchanger was examined numerically to obtain its optimal shape. A response surface method was introduced to approximately predict its performance with respect to the design parameters over the design domain. The inflow/outflow angle of the working fluid, the location of inlet/outlet, the protruding height of flat tube and the height of header were chosen as a design parameter The evaluation of the relative importance of the design parameters was performed based on a sensitivity analysis. An efficiency index was used as an evaluation characteristics value to simultaneously consider both the heat transfer and the pressure drop. The efficiency index of the optimum model, compared to that of the base model, was increased by 9.3%.

Export Container Remarshaling Planning in Automated Container Terminals Considering Time Value (시간가치를 고려한 자동화 컨테이너 터미널의 수출 컨테이너 이적계획)

  • Bae, Jong-Wook;Park, Young-Man;Kim, Kap-Hwan
    • Journal of the Korean Operations Research and Management Science Society
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    • v.33 no.2
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    • pp.75-86
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    • 2008
  • A remarshalling is one of the operational strategies considered importantly at a port container terminal for the fast ship operations and heighten efficiency of slacking yard. The remarshalling rearranges the containers scattered at a yard block in order to reduce the transfer time and the rehandling time of container handling equipments. This Paper deals with the rearrangement problem, which decides to where containers are transported considering time value of each operations. We propose the mixed integer programming model minimizing the weighted total operation cost. This model is a NP-hard problem. Therefore we develope the heuristic algorithm for rearrangement problem to real world adaption. We compare the heuristic algorithm with the optimum model in terms of the computation times and total cost. For the sensitivity analysis of configuration of storage and cost weight, a variety of scenarios are experimented.

Optimum Progressive-Stress Accelerated Life Test (증가하는 스트레스에서의 최적가속수명시험)

  • Yun, Won-Young;Jung, Sung-Gi
    • Journal of Korean Institute of Industrial Engineers
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    • v.19 no.2
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    • pp.15-21
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    • 1993
  • This paper considers the optimal design of accelerated life test in which the stress is linearly increased. It discusses the special case when the life distribution under constant stress follows an exponential distribution and the accelerated equation satisfies the inverse power law. It is assumed that cumulative damage is linear, that is, the remaining life of test units depends only on the current cumulative fraction failed and current stress(cumulative exposure model). The optimization criterion is the asymptotic variance of the maximum likelihood estimator of the log mean life at a design stress. The optimal increasing rate is obtained to minimize the asymptotic variance. Table of sensitivity analysis is given for the prior estimators of model parameters.

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MTT Assay Using Primary Cultured Rat Hepatocytes (백서의 초대 배양 간세포를 이용한 MTT assay$^{1)}$)

  • Ha, Hun;Yoon, Soo-Hong;Fujii, Takeru;Hori, Hitoshi
    • Environmental Analysis Health and Toxicology
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    • v.9 no.1_2
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    • pp.19-23
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    • 1994
  • The tetrazolium dye, 3-(4, 5-dimethylthiazol-2-yl)-2, 5-diphenyltetrazolium bromide (MTT), is reduced by live but not dead cell, and this reaction is used as the end point in a rapid drug screening assay. It can also be used for accurate determinations of drug sensitivity but only if a quantative relationship is established between cell number and MTT-formazan production. Several conditions were examined to devise an in vitro assay method in primary cultured hepatocytes, such as optimum wavelength, optimal MTT concentration, optimal incubation time, and cell density.

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Generalized optimal active control algorithm with weighting matrix configuration, stability and time-delay

  • Cheng, Franklin Y.;Tian, Peter
    • Structural Engineering and Mechanics
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    • v.1 no.1
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    • pp.119-135
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    • 1993
  • The paper presents a generalized optimal active control algorithm for earthquake-resistant structures. The study included the weighting matrix configuration, stability, and time-delays for achieving control effectiveness and optimum solution. The sensitivity of various time-delays in the optimal solution is investigated for which the stability regions are determined. A simplified method for reducing the influence of time-delay on dynamic response is proposed. Numerical examples illustrate that the proposed optimal control algorithm is advantageous over others currently in vogue. Its feedback control law is independent of the time increment, and its weighting matrix can be flexibly selected and adjusted at any time during the operation of the control system. The examples also show that the weighting matrix based on pole placement approach is superior to other weighting matrix configurations for its self-adjustable control effectiveness. Using the time-delay correction method can significantly reduce the influence of time-delays on both structural response and required control force.

Selection of Process Configuration and Operating Conditions for SEWGS System (회수증진 수성가스화 시스템의 공정구성 및 조업조건 선정)

  • Ryu, Ho-Jung
    • Transactions of the Korean hydrogen and new energy society
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    • v.20 no.2
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    • pp.168-178
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    • 2009
  • To check feasibility of SEWGS(Sorption Enhanced Water Gas Shift) system, conceptual design and sensitivity analysis of operating variables have been investigated based on a design program of two-interconnected fluidized bed. Based on the conceptual design results, the optimum configuration for SEWGS was considered. Among three configurations, bubbling beds system was selected as the best configuration. Process design results indicate that the SEWGS system is compact and feasible. Based on the selected operating conditions, the effects of variables such as pressure, $CO_2$ capture capacity, solid inventory, CO conversion and $CO_2$ capture efficiency have been investigated as well.

Optimal Design of Tire Sidewall Contour using Neural Network (신경회로망을 활용한 타이어 측벽형상의 최적설계)

  • Jeong, H.S.;Shin, S.W.;Cho, J.R.;Kim, N.J.;Kim, K.W.
    • Proceedings of the KSME Conference
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    • 2001.11a
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    • pp.378-383
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    • 2001
  • In order to improve automobile maneuverability and tire durability, it is very important for one to determine a suitable sidewall contour producing the ideal tension and strain-energy distributions. In order to determine such a sidewall contour, one must apply multi-objective optimization technique. The optimization problem of tire carcass contour involves several objective functions. Hence, we execute the tire contour optimization for improving the maneuverability and the tire durability using satisficing trade-off method. And, the tire optimization also requires long cup time for the sensitivity analysis. In order to resolve this numerical difficulty, we apply neural network algorithm.

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