• Title/Summary/Keyword: Two-step solution

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Development of Algorithm for Predicting Fretting Wear (프레팅 마멸 예측을 위한 알고리즘 개발)

  • Cho, Yong-Joo;Kim, Tae-Wan
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.35 no.9
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    • pp.983-989
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    • 2011
  • A numerical algorithm for predicting fretting wear was developed using the boundary element method (BEM). A contact analysis was performed numerically using the relation between the elastic displacement and uniformly distributed loading of a rectangular patch on a semi-infinite solid. Geometrical updating based on nodal wear depths was performed. The wear depths were computed using the Archard's equation for sliding wear. In order to investigate the efficiency of BEM for predicting fretting wear, a problem involving a two-dimensional cylinder on a flat contact was analyzed, comparing it with the simulation model proposed by McColl et al. that was based on the finite element method. The developed method was then applied to the analysis of a spherical contact and it was shown that the developed simulation technique could efficiently predict fretting wear. Moreover, the effect of a step cycle on the solution obtained by the developed method was investigated.

Integration of Six Sigma and BPM for Continuous Process Improvement (지속적 프로세스 개선을 위한 6시그마와 BPM 통합 모형)

  • Yoon, Ji Hyun;Jung, Jae-Yoon
    • The Journal of Bigdata
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    • v.2 no.1
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    • pp.5-15
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    • 2017
  • Six Sigma has been adopted for the last two decades in many industries of manufacturing and service business to implement processs improvement. The methodology has difficulties in discovering target projects in the Define step and in controlling continuous measure and control in the Control step. To address the problem, more advanced system is required to support continuous control and management, and business process management (BPM) can be an effective solution for this problem. In this research, we introduce integrated models of Six Sigma and BPM for the purpose of realizing continuous process improvement, and explain the procedure of analyzing, improving, and monitoring the processes based on the data which has been accumulated in business process execution. It is expected that this integrated approach can maximize business performance by improving and managing business continuously on the integrated platform of two business innovation strategies, Six Sigma and BPM.

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Effects of cryoprotectants and sucrose concentrations on the viability of aggregated mouse embryos frozen rapidly in liquid nitrogen vapour (동결보호제 및 Sucrose 농도가 급속동결한 마우스 집합배의 생존성에 미치는 영향)

  • Shin, Sang-tae
    • Korean Journal of Veterinary Research
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    • v.31 no.4
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    • pp.523-527
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    • 1991
  • The effects of ethylene glycol, DMSO and glycerol as cryoprotectants and the effect of concentrations(0, 0.25, 0.5 and 1.0M) of sucrose in the diluent on the viability of the aggregated morulae frozen rapidly in liquid nitrogen$(LN_2)$ vapour were examined. The morulae were produced by aggregation of ICR and CBA mice embryos at 8-cell stage. Before freezing the embryos were equilibrated in 1.5M cryoprotectants+0.25M sucrose in oae-step or in 3.0M cryoprotectants+0.25M sucrose in two-steps. The embryos were pipetted into the freezing medium fraction of 0.25ml plastic straws. The straws were frozeu by directly transfer into $LN_2$ vapour(about lcm above $LN_2$) for 2 minutes, and then plunged into $LN_2$. After thawing the cryoprotectants were diluted with 0, 0.25, 0.5 or 1.0M sucrose solution. The post-thawed in vitro viability of the aggregated embryos was significantly dependent on the type and concentration of cryoprotectants in the freezing medium and also on the concentration of sucrose in the diluent. When the aggregated embryos were equilibrated in 1.5M cryoprotectants +0.25M sucrose in one-step and diluted with 0.5M sucrose after thawing, the survival rate of the embryo5 was significantly(p<0.05) higher in DMSO(62.5%) or ethylene glycol(52.2%) than in glycerol(33.3 %). In the case that the concentration of the cryoprotectants was raised to 3.0M in two-steps, thc higher survival rate of the embryos was obtained in ethylene glycol or glycerol than in DMSO followed by diluting them with 0.5 or 1.0M sucrose after thawing(p<0.01).

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Study on the Structural System Condensation Using Multi-level Sub-structuring Scheme in Large-scale Problems (대형 시스템에서의 다단계 부분구조 기법을 이용한 시스템 축소기법에 관한 연구)

  • Baek, Sung-Min;Cho, Maeng-Hyo;Kim, Hyun-Gi
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.21 no.3
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    • pp.281-285
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    • 2008
  • Eigenvalue reduction schemes approximate the lower eigenmodes that represent the global behavior of the structures. In the previous study, we proposed a two-level condensation scheme (TLCS) for the construction of a reduced system. And we have improved previous TLCS with combination of the iterated improved reduced system method (IIRS) to increase accuracy of the higher modes intermediate range. In this study, we apply previous improved TLCS to multi-level sub-structuring scheme. In the first step, the global system is recursively partitioned into a hierarchy of sub-domain. In second step, each uncoupled sub-domain is condensed by the improved TLCS. After assembly process of each reduced sub-eigenvalue problem, eigen-solution is calculated by Lanczos method (ARPACK). Finally, Numerical examples demonstrate performance of proposed method.

A new hybrid meta-heuristic for structural design: ranked particles optimization

  • Kaveh, A.;Nasrollahi, A.
    • Structural Engineering and Mechanics
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    • v.52 no.2
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    • pp.405-426
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    • 2014
  • In this paper, a new meta-heuristic algorithm named Ranked Particles Optimization (RPO), is presented. This algorithm is not inspired from natural or physical phenomena. However, it is based on numerous researches in the field of meta-heuristic optimization algorithms. In this algorithm, like other meta-heuristic algorithms, optimization process starts with by producing a population of random solutions, Particles, located in the feasible search space. In the next step, cost functions corresponding to all random particles are evaluated and some of those having minimum cost functions are stored. These particles are ranked and their weighted average is calculated and named Ranked Center. New solutions are produced by moving each particle along its previous motion, the ranked center, and the best particle found thus far. The robustness of this algorithm is verified by solving some mathematical and structural optimization problems. Simplicity of implementation and reaching to desired solution are two main characteristics of this algorithm.

APPROXIMATION OF THE QUEUE LENGTH DISTRIBUTION OF GENERAL QUEUES

  • Lee, Kyu-Seok;Park, Hong-Shik
    • ETRI Journal
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    • v.15 no.3
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    • pp.35-45
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    • 1994
  • In this paper we develop an approximation formalism on the queue length distribution for general queueing models. Our formalism is based on two steps of approximation; the first step is to find a lower bound on the exact formula, and subsequently the Chernoff upper bound technique is applied to this lower bound. We demonstrate that for the M/M/1 model our formula is equivalent to the exact solution. For the D/M/1 queue, we find an extremely tight lower bound below the exact formula. On the other hand, our approach shows a tight upper bound on the exact distribution for both the ND/D/1 and M/D/1 queues. We also consider the $M+{\Sigma}N_jD/D/1$ queue and compare our formula with other formalisms for the $M+{\Sigma}N_jD/D/1$ and M+D/D/1 queues.

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Efficient Hausdorff Distance Computation for Planar Curves (평면곡선에 대한 Hausdorff 거리 계산의 가속화 기법에 대한 연구)

  • Kim, Yong-Joon;Oh, Young-Taek;Kim, Myung-Soo
    • Korean Journal of Computational Design and Engineering
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    • v.15 no.2
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    • pp.115-123
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    • 2010
  • We present an efficient algorithm for computing the Hausdorff distance between two planar curves. The algorithm is based on an efficient trimming technique that eliminates the curve domains that make no contribution to the final Hausdorff distance. The input curves are first approximated with biarcs within a given error bound in a pre-processing step. Using the biarc approximation, the distance map of an input curve is then approximated and stored into the graphics hardware depth-buffer by rendering the distance maps (represented as circular cones) of the biarcs. We repeat the same procedure for the other input curve. By sampling points on each input curve and reading the distance from the other curve (stored in the hardware depth-buffer), we can easily estimate a lower bound of the Hausdorff distance. Based on the lower bound, the algorithm eliminates redundant curve segments where the exact Hausdorff distance can never be obtained. Finally, we employ a multivariate equation solver to compute the Hausdorff distance efficiently using the remaining curve segments only.

Dof splitting p-adaptive meshless method

  • Kang, Myung-Seok;Youn, Sung-Kie
    • Structural Engineering and Mechanics
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    • v.11 no.5
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    • pp.535-546
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    • 2001
  • A new p-adaptive analysis scheme for hp-clouds method is presented. In the scheme, refined global equations are resolved into two parts, one of them being related to the newly appended dof's. The solution obtained in previous analysis step is reflected in the force vector. The size of the p-adaptive equation consisting of the newly appended dof's is much smaller than the original equation. Consequently, the computational cost is drastically decreased. Through numerical examples, the efficiency and efficacy of the method in comparison with the existing p-refinement scheme of the hp-clouds have been demonstrated.

Parallel O.C. Algorithm for Optimal design of Plane Frame Structures (평면골조의 최적설계를 위한 병렬 O.C. 알고리즘)

  • 김철용;박효선;박성무
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2000.04b
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    • pp.466-473
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    • 2000
  • Optimality Criteria algorithm based on the derivation of reciprocal approximations has been applied to structural optimization of large-scale structures. However, required computational cost for the serial analysis algorithm of large-scale structures consisting of a large number of degrees of freedom and members is too high to be adopted in the solution process of O.C. algorithm Thus, parallel version of O.C. algorithm on the network of personal computers is presented in this Paper. Parallelism in O.C. algorithm may be classified into two regions such as analysis and optimizer part As the first step of development of parallel algorithm, parallel structural analysis algorithm is developed and used in O.C. algorithm The algorithm is applied to optimal design of a 54-story plane frame structure

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Process Development for Concentration and Stabilization of Recombinant Endoxylanase Expressed in Bacillus subtilis

  • Choi, Young-Rok;Seo, Eun-Jin;Heo, Sun-Yeon;Nam, Soo-Wan;Kwon, Hyun-Ju;Kim, Byung-Woo
    • 한국생물공학회:학술대회논문집
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    • 2003.10a
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    • pp.536-539
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    • 2003
  • A strong constitutive $P_{JH}$ promoter from Bacillus sp. was applied to overexpress the endoxylanase gene in Bacillus subtilis. The expression plasmid, pJHKJ4, was designed to contain the $P_{JH}$ promoter and open reading frame of endoxylanase including its own promoter. The plasmid was introduced into B. subtilis DB431 and the resulting transformant was grown on LB glucose medium. The endoxylanase activity in the culture supernatant reached about 140 unit/ml. The enzyme in the supernatant was efficiently concentrated to 70% by two-step treatments of ammonium sulfate saturation and ultrafiltration. The stabilization of concentrated enzyme solution at different storage temperatures was examined with various stabilizers such as NaCl, $CaCl_2$, sucrose, sorbitol, polyethylene glycol, and Tween-80.

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