• 제목/요약/키워드: discrete simulation optimization

검색결과 94건 처리시간 0.027초

유한요소해석을 이용한 스테인리스 스틸의 쇼트 블라스팅 공정 최적화 (Finite Element Analysis for Shot Blasting Process Optimization of Stainless Steel)

  • 송승엽;박준영;김준식
    • 한국기계가공학회지
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    • 제12권1호
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    • pp.22-27
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    • 2013
  • A shot blasting process is to improve the surface quality of stainless steels. The process is similar to a well-known shot peening that is used to strengthen the surface via the residual stress. In the shot blasting process, it is important to decide many parameters, such as the size, incident angle and velocity of shot balls, to effectively get rid of the iron oxide on the surface of stainless steels. In this study, the simulation of the shot blasting process is carried out by a finite element software, which can help to find out the optimal design parameters to cause the delamination of the iron oxide from the stainless steel substrate. The results obtained are also compared to those of the discrete element method to verify them.

에너지 절감을 위한 건설장비 조합 최적화 방법 연구 (Construction Equipment Fleet Optimization for Saving Fuel Consumption)

  • 이창용;이홍철;이동은
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2015년도 춘계 학술논문 발표대회
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    • pp.198-199
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    • 2015
  • Construction equipment is a major energy consumption source in construction projects. If 10% reduction of the diesel fuel usage is achieved in the construction industry, it may reduce 5% of the total energy usage. Energy saving operation is a major issue in equipment-intensive operations (e.g., earthmoving or paving operations). Identifying optimal equipment fleet is important measure to achieve low-energy consumption in those operations. This study presents a system which finds an optimal equipment fleet by computing the low-energy performance of earthmoving operations. It establishes construction operation model and compares numerous combinations using alternative equipment allocation plans. It implements sensitivity analysis that facilitates searching the lowest energy consumption equipment fleet by enumerating all cases.

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Optimization of Earthwork Operation for Energy-saving using Discrete Event Simulation

  • Yi, Chang-Yong;Lee, Dong-Eun
    • 국제학술발표논문집
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    • The 6th International Conference on Construction Engineering and Project Management
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    • pp.537-539
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    • 2015
  • considerate operation is a major issue in the equipment-intensive operation. Identifying an optimal equipment combination is important to achieve low-energy operations. An Earthwork operation planning system, which measures the energy consumption of construction operations by taking into account construction equipments' engineering attributes (e.g., weight, capacity, energy consumption rate, etc.) and operation conditions (e.g., road condition, attributes of materials to be moved, geometric information, etc.), is essential to achieve the low-energy consumption. This study develops an automated computerized system which identifies an optimal earthmoving equipment fleet minimizing the energy consumption. The system imports a standard template of earthmoving operation model and compares numerous scenarios using alternative equipment allocation plans. It finds the fleet that minimizes the energy consumption by enumerating all cases using sensitivity analysis. A case study is presented to verify the validity of the system.

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위험도를 고려한 최소비용 도시우수관망 설계의 최적화 모형개발 (II): 위험도를 고려한 최적화 모형 (Development of Optimal Design Simulation Model for Least Cost Urban Sewer System Considering Risk (II))

  • 박상우;장석환
    • 한국수자원학회논문집
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    • 제38권12호
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    • pp.1029-1037
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    • 2005
  • 본 연구는 도시 우수관망 설계 시 주어진 설계유량을 효율적이고 경제적인 단면 구성과 관망에 따른 우수배제 능력을 극대화시키기 위해 최적화 기법인 동적계획법(Dynamic Programming : DP)의 특수한 방법인 이산미분형 동적계획법(Discrete Differential Dynamic programming DDDP)를 이용해 최적화된 설계조건을 구할 수 있도록 하였다. 이산미분형 동적계획법의 기법은 설계유량과 맨홀의 위치가 결정되면 그에 따른 최적 우수시스템이 될 수 있는 관의 용량, 경사, 수위, 수심, 위험도, 회수비용 등을 결정할 수 있는 방법으로 이는 공사비용에 따를 최소비용을 목적함수로 위험도 분석을 통하여 최적화된 조건을 찾는 방법으로 모형개발을 하였다. 개발된 모형을 실제 단지계획의 합리식으로 설계된 우수관망 계획과 비교 검증하여 보다 경제적이고 효율적인 우수관망 시스템을 구축하는 모형을 제시하였다.

Centroidal Voronoi Tessellation-Based Reduced-Order Modeling of Navier-Stokes Equations

  • 이형천
    • 한국전산응용수학회:학술대회논문집
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    • 한국전산응용수학회 2003년도 KSCAM 학술발표회 프로그램 및 초록집
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    • pp.1-1
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    • 2003
  • In this talk, a reduced-order modeling methodology based on centroidal Voronoi tessellations (CVT's)is introduced. CVT's are special Voronoi tessellations for which the generators of the Voronoi diagram are also the centers of mass (means) of the corresponding Voronoi cells. The discrete data sets, CVT's are closely related to the h-means clustering techniques. Even with the use of good mesh generators, discretization schemes, and solution algorithms, the computational simulation of complex, turbulent, or chaotic systems still remains a formidable endeavor. For example, typical finite element codes may require many thousands of degrees of freedom for the accurate simulation of fluid flows. The situation is even worse for optimization problems for which multiple solutions of the complex state system are usually required or in feedback control problems for which real-time solutions of the complex state system are needed. There hava been many studies devoted to the development, testing, and use of reduced-order models for complex systems such as unsteady fluid flows. The types of reduced-ordered models that we study are those attempt to determine accurate approximate solutions of a complex system using very few degrees of freedom. To do so, such models have to use basis functions that are in some way intimately connected to the problem being approximated. Once a very low-dimensional reduced basis has been determined, one can employ it to solve the complex system by applying, e.g., a Galerkin method. In general, reduced bases are globally supported so that the discrete systems are dense; however, if the reduced basis is of very low dimension, one does not care about the lack of sparsity in the discrete system. A discussion of reduced-ordering modeling for complex systems such as fluid flows is given to provide a context for the application of reduced-order bases. Then, detailed descriptions of CVT-based reduced-order bases and how they can be constructed of complex systems are given. Subsequently, some concrete incompressible flow examples are used to illustrate the construction and use of CVT-based reduced-order bases. The CVT-based reduced-order modeling methodology is shown to be effective for these examples and is also shown to be inexpensive to apply compared to other reduced-order methods.

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모폴로지 연산에 사용되는 볼록 구조요소의 분해를 위한 알고리듬 (A Decomposition Algorithm for Convex Structuring Elements in Morphological Operation)

  • 온승엽
    • 한국시뮬레이션학회논문지
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    • 제13권1호
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    • pp.11-23
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    • 2004
  • The decomposition of a structuring element for a morphological operation reduces the amount of the computation required for executing the operation. In this paper, we present a new technique for the decomposition of convex structuring elements for morphological operations. We formulated the linear constraints for the decomposition of a convex polygon in discrete space, then the constraints are applied to the decomposition of a convex structuring element. Also, a cost function is introduced to represent the optimal criteria for decomposition. We use linear integer programming technique to find the combination of basis structuring elements which minimizes the amount of the computation required for executing the morphological operation. Formulating different cost functions for different implementation methods and computer architectures, we can determine the optimal decompositions which guarantee the minimal amounts of computation on different computing environment.

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Numerical Simulation of Two-Phase Flow field and Performance Prediction for Solid Rocket Motor Nozzle

  • Wahab, Shafqat;Kan, Xie;Yu, Liu
    • 한국추진공학회:학술대회논문집
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    • 한국추진공학회 2008년 영문 학술대회
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    • pp.275-282
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    • 2008
  • This paper presents numerical investigation of multi-phase flow in solid rocket motor nozzle and effect of multi-phases on the performance prediction of the Solid Rocket Motor. Aluminized propellants are frequently used in solid rocket motors to increase specific impulse. An Eulerian-Lagrangian description has been used to analyze the motion of the micrometer sized and discrete phase that consist of the larger particulates present in the Solid Rocket Motor. Uniform particles diameters and Rosin-Rammler diameter distribution method has been used for the simulation of different burning of aluminum droplets generating aluminum oxide smokes. Roe-FDS scheme has been used to simulate the effects of the multi-phase flow. The results obtained show the sensitivity of this distribution to the nozzle flow dynamics, primarily at the nozzle inlet and exit. The analysis also provides effect of two phases on performance prediction of Solid Rocket Motor.

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공구경로 곡면을 이용한 이송속도 최적화 (Feedrate Optimization using CL Surface)

  • 김수진;양민양
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2003년도 춘계학술대회 논문집
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    • pp.547-552
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    • 2003
  • In mold machining, there are many concave machining regions where chatter and tool deflection occur since MRR (material removal rate) increases as curvature increases even though cutting speed and depth of cut are constant. Boolean operation between stock and tool model is widely used to compute MRR in NC milling simulation. In finish cutting, the side step is reduced to about 0.3mm and tool path length is sometimes over 300m. so Boolean operation takes long computation time and includes much error if the resolution of stock and tool model is larger than the side step. In this paper, curvature of CL(cutter location) surface and side step of tool path is used to compute the feedrate for constant MRR machining. The data structure of CL surface is Z-map generated from NC tool path. The algorithm to get local curvature from discrete data was developed and applied to compute local curvature of CL surface. The side step of tool path was computed by point density map which includes cutter location point density at each grid element. The feedrate computed from curvature and side step is inserted to new tool path to regulate MRR. The resultants wire applied to feedrate optimization system which generates new tool path with feedrate from NC codes for finish cutting. The system was applied to speaker mold machining. The finishing time was reduced to 12.6%. tool wear was reduced from 2mm to 1.1mm and chatter marks and over cut on corner were removed.

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콜드체인 시스템의 센서태그 운영 최적화를 위한 DEVS 기반 시뮬레이션 모델 (DEVS-Based Simulation Model for Optimization of Sensor-Tag Operations in Cold Chain Systems)

  • 류옥현;강용신;진희주;이용한
    • 대한산업공학회지
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    • 제41권2호
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    • pp.173-184
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    • 2015
  • The application of radio frequency identification (RFID) sensor-tags in cold chain systems has recently received a great deal of attention. To design cold chain systems with RFID sensor-tags that minimize the initial investment and operational cost while fulfilling the functional and operational requirements, simulation study is one of the preferable and effective approaches. To simulate the possible design configurations, the individual components in a cold chain system can be extracted and implemented as a DEVS (Discrete Event System Specification) model. Based on the proposed DEVS model, a new cold chain simulation model can be efficiently created by simply connecting each DEVS model around the RFID sensor-tag of interest in sequence according to the structure of the cold chain system, and then executed (or simulated) on Java programming environments by the DEVSJAVA simulator. As a result of simulation, some key performance indexes such as reliability, accuracy or timeliness can be calculated and used to choose better components or to compare different system configurations of cold chain systems.

일량제어정책을 갖는 이산시간 BMAP/G/1 대기행렬의 고객수와 체재시간 분석 (Queue Lengths and Sojourn Time Analysis of Discrete-time BMAP/G/1 Queue under the Workload Control)

  • 이세원
    • 한국산업정보학회논문지
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    • 제29권1호
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    • pp.63-76
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    • 2024
  • 본 논문에서는 D-정책을 갖는 이산시간 BMAP/G/1 대기행렬의 이탈시점 및 임의시점 고객수 분포와 체재시간 분포를 분석하였다. 서로 상관성을 갖는 집단고객(패킷)들이 이산시간 마코비안 도착과정을 따라 시스템에 도착하고, 서버는 도착한 고객들의 서비스시간의 총합이 일량 임곗값을 초과하였을 때 재가동을 시작하여 시스템에 남은 고객이 없을 때까지 서비스한다. 시스템의 안정상태 고객수 분포와 체재시간 분포를 변환 벡터 형태로 유도하고 성능척도로서 평균값을 계산하였다. 수치 예제를 통해 복잡한 형태의 수식으로 나타나는 결과들을 계산하여 얻을 수 있음을 확인하고, 시뮬레이션 결과와 비교하여 이론값의 타당성을 검증하였다. 본 연구의 결과는 다양한 산업 분야에서 유사하게 작동하는 복잡계 시스템의 주요 성능척도들을 구하고 여러 가지 최적화 문제를 분석하는 데 사용할 수 있다.