• Title/Summary/Keyword: 다중 반응 최적화

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암모니아 합성반응기의 다중성 및 최적화

  • 이성준;함재용;이현구
    • 제어로봇시스템학회:학술대회논문집
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    • 1989.10a
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    • pp.377-382
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    • 1989
  • 암모니아 합성을 위한 다단식급냉반응기를 대상으로 물질 및 에너지보존법칙을 적용하여 수식모델을 전개하였다. 실제 4단 반응기의 설계 및 운전자료를 기준으로 하여 정상상태의 다중성을 해석하고 각 촉매층의 체적비와 반응물의 공급유량비에 대한 최적화 연구를 수행한 결과 실제 조업조건하에서 3개의 서로 다른 정상상태가 존재하며 실제 설계 및 조업조건은 최적조건을 다소 완화한 조건에 상당한 것임을 확인하였다.

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A Weighted Mean Squared Error Approach to Multiple Response Surface Optimization (다중반응표면 최적화를 위한 가중평균제곱오차)

  • Jeong, In-Jun;Cho, Hyun-Woo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.2
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    • pp.625-633
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    • 2013
  • Multiple response surface optimization (MRSO) aims at finding a setting of input variables which simultaneously optimizes multiple responses. The minimization of mean squared error (MSE), which consists of the squared bias and variance terms, is an effective way to consider the location and dispersion effects of the responses in MRSO. This approach basically assumes that both the terms have an equal weight. However, they need to be weighted differently depending on a problem situation, for example, in case that they are not of the same importance. This paper proposes to use the weighted MSE (WMSE) criterion instead of the MSE criterion in MRSO to consider an unequal weight situation.

A Weighted Mean Squared Error Approach Based on the Tchebycheff Metric in Multiresponse Optimization (Tchebycheff Metric 기반 가중평균제곱오차 최소화법을 활용한 다중반응표면 최적화)

  • Jeong, In-Jun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.1
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    • pp.97-105
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    • 2015
  • Multiresponse optimization (MRO) seeks to find the setting of input variables, which optimizes the multiple responses simultaneously. The approach of weighted mean squared error (WMSE) minimization for MRO imposes a different weight on the squared bias and variance, which are the two components of the mean squared error (MSE). To date, a weighted sum-based method has been proposed for WMSE minimization. On the other hand, this method has a limitation in that it cannot find the most preferred solution located in a nonconvex region in objective function space. This paper proposes a Tchebycheff metric-based method to overcome the limitations of the weighted sum-based method.

A thermal safety design of slotless bldcm using MRSM (다중표면반응법을 이용한 Slotless BLDCM의 열특성 안정화 설계)

  • Cha, Hyun-Rok;Lee, Sung-Ho;Baek, Seung-Hun
    • Proceedings of the KIEE Conference
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    • 2007.10c
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    • pp.39-40
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    • 2007
  • 본 논문은 Slotless BLDCM의 발열특성에 고려하여 열 발생을 최소화 하고자 다중 반응표면법을 적용하여 모터의 형상 및 권선 사양의 최적 선정에 관한 연구이다. 본 연구에서는 전류밀도의 최소화를 목적함수로 하여 형상 및 권선 사양의 최적화를 실시하였다. 변수에 대한 영향도의 분석은 전자계 해석을 통한 결과값을 통하여 실시하였으며, 열적 특성을 파악하기 위해서 전자계-열계의 해석을 통해서 최적값의 열적 안정성을 파악하였다.

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A Study of Applications of Sequential Biplots in Multiresponse Data (다중반응치 자료에 대한 순차적 BIPLOT활용에 대한 연구)

  • 장대흥
    • The Korean Journal of Applied Statistics
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    • v.11 no.2
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    • pp.451-459
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    • 1998
  • The analysis of data from a multiresponse experiment requires careful consideration of the multivariate nature of the data. In a multiresponse sitation, the optimization problem is more complex than in the single response case. The biplot is a graphical tool which make the analyst to understand the correlation of the response variables, the relation of the response variables arid the explanatory variables and the relative importance of the explanatory variables. In case of good fitting of the first order model, we can draw the biplot with the first order experimental design. Otherwise, we can make the biplot with the second order experimental design by adding other experimental points.

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Approximate Multi-Objective Optimization of A Wall-mounted Monitor Bracket Arm Considering Strength Design Conditions (강도조건을 고려한 벽걸이 모니터 브라켓 암의 다중목적 근사최적설계)

  • Doh, Jaehyeok;Lee, Jongsoo
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.39 no.5
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    • pp.535-541
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    • 2015
  • In this study, an approximate multi-objective optimization of a wall-mounted monitor bracket arm was performed. The rotation angle of the bracket arm was determined considering the inplane degree of freedom. We then formulated an optimization problem on maximum stress and deflection. Analyses of mean and design parameters were conducted for sensitivity regarding performance with orthogonal array and response surface method (RSM). RSM models of objective and constraint functions were generated using central composite (CCD) and D-optimal design. The accuracy of approximate models was evaluated through $R^2$ value. The obtained optimal solutions by non-dominant sorting genetic algorithm (NSGA-II) were validated through the finite element analysis and we compared the obtained optimal solution by CCD and D-optimal design.

Simultaneous Detection of Cytomegalovirus, Epstein-Barr Virus, Hepatitis B Virus, and Parvovirus by a Multiplex PCR (다중 중합효소 연쇄반응을 이용한 DNA 바이러스의 동시검출)

  • Sung, Hye-Ran;Joo, Jin-Young;Lee, Chong-Kil;Chung, Yeon-Bok;Song, Suk-Gil
    • Korean Journal of Microbiology
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    • v.43 no.1
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    • pp.1-6
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    • 2007
  • We describe a multiplex PCR method that can detect and differentiate simultaneously four different kinds of DNA viruses, Epstein-Barr virus (EBV), cytomegalovirus (CMV), hepatitis B virus (HBV) and parvovirus B19 (B19). Primers for the multiplex PCR reaction were designed to amplify specific regions of the EBV (pol), CMV (pol), HBV (pol) and B19 (ns) viral genomes and used to simultaneously detect individual viruses. In order to achieve optimal sensitivity and specificity for multiplex PCR, the thermo-cycling parameters, primer sequences, and concentration of each reaction components were optimized systematically. The sensitivity of the detection method ranged between 5 and 10 copies of viral genome with a mixture of multiple primer pairs. Furthermore, this highly sensitive test showed no cross-reactivity among the four viruses. Thus, the results obtained in this study provide evidence that the assay system is a good tool for supporting the diagnosis of viral infection and contamination.

Applicability Analysis on Estimation of Spectral Induced Polarization Parameters Based on Multi-objective Optimization (다중목적함수 최적화에 기초한 광대역 유도분극 변수 예측 적용성 분석)

  • Kim, Bitnarae;Jeong, Ju Yeon;Min, Baehyun;Nam, Myung Jin
    • Geophysics and Geophysical Exploration
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    • v.25 no.3
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    • pp.99-108
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    • 2022
  • Among induced polarization (IP) methods, spectral IP (SIP) uses alternating current as a transmission source to measure amplitudes and phase of complex electrical resistivity at each source frequency, which disperse with respect to source frequencies. The frequency dependence, which can be explained by a relaxation model such as Cole-Cole model or equivalent models, is analyzed to estimate SIP parameters from dispersion curves of complex resistivity employing multi-objective optimization (MOO). The estimation uses a generic algorithm to optimize two objective functions minimizing data misfits of amplitude and phase based on Cole-Cole model, which is most widely used to explain IP relaxation effects. The MOO-based estimation properly recovered Cole-Cole model parameters for synthetic examples but hardly fitted for the real laboratory measures ones, which have relatively smaller values of phases (less than about 10 mrad). Discrepancies between scales for data misfits of amplitude and phase, used as parameters of MOO method, and it is in necessity to employ other methods such as machine learning, which can deal with the discrepancies, to estimate SIP parameters from dispersion curves of complex resistivity.

Multiphysics Simulations of Dry Reforming of Methane in a Fixed Bed Reactor with Different Catalyst Types (다양한 촉매 유형에 따른 고정층 반응기에서의 메탄 건식 개질 다중물리 시뮬레이션 연구)

  • Soo-Won Son;Boram Gu
    • Applied Chemistry for Engineering
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    • v.35 no.5
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    • pp.429-437
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    • 2024
  • Dry reforming of methane (DRM) uses natural gas and carbon dioxide as reactants to produce hydrogen, potentially providing a solution for reducing greenhouse gas emissions and offering an alternative carbon-free energy source. However, since DRM is highly endothermic, its application and commercialization are limited by rapid temperature decrease and resulting catalyst inactivation. Consequently, research into catalyst development and reactor design to mitigate temperature decline is essential. In this study, computational fluid dynamics (CFD) is utilized to develop a multiphysics simulation platform for DRM within a fixed-bed reactor, employing two types of spherical catalysts: eggshell and uniform types. Our findings indicate that the eggshell model can maintain a higher temperature at the reactor's core than the uniform catalyst model by approximately 20 K. Furthermore, the eggshell model demonstrates superior methane conversion and hydrogen yield due to its ability to suppress excessively rapid reactions. These results underscore the benefits of eggshell catalysts in highly endothermic reactors, such as those used in DRM processes. The developed simulation platform can be used to assess various combinations of reactor and catalyst designs and further optimize their dimensions and operational protocols.

Study on the Optimization of Low Heat-Input Pluse MIG Welding Process for Aluminum Alloy sheets using the response surface methodology(RSM) (반응표면분석법을 이용한 박판 알루미늄 합금의 저입열 Pulse MIG 용접 변수 최적화에 관한 연구)

  • Kim, Kae-Seong;Hwang, Ji-Hye;Choi, Dong-Sun;Lee, Bo-Yong
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2010.04a
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    • pp.624-627
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    • 2010
  • 최근 자동차 업계서는 차량의 온실가스 배출량을 줄이고 연비를 개선시킬 수 있는 방법 중의 하나로 경량화 소재를 사용하여 차체의 중량을 줄이는 연구가 활발히 진행 중에 있다. 특히 알루미늄 합금의 경우 기존 강재에 비해 비중이 낮아 가볍고 부식에 대한 저항성이 높아 많이 사용되어지고 있는 추세이다. 본 연구에서는 먼저, 저입열 용접공정을 적용하여 용접 변수와 토치의 각도에 따른 인장강도 특성을 비교하여 적정 용접 범위를 산정하였으며, 인장강도와 비드형상의 관계를 다중 회귀 분석을 이용하여 비드 예측 회귀 모델을 제시하였다. 또한 호감도 함수를 적용한 반응표면분석법을 이용하여 자동차 생산 현장에서 겹치기 용접 이음부의 강건한 용접 품질을 가질 수 있는 최적용접 공정 조건을 도출할 수 있는 효과적인 방법을 제안하고자 한다.

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