• Title/Summary/Keyword: Computer simulation and developed model

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Prediction of Fatigue Life Using Dynamic Simulation and Finite Element Anlaysis for Construction Equipment (중장비의 동적시뮬레이션과 유한요소법을 이용한 피로수명에측)

  • Kwon, Soon-Ki;Park, Hyung-Jin
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.20 no.5
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    • pp.1392-1400
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    • 1996
  • The need of companies shorten the design-to-manufacturing process for new products with improved quality in cost effective manner places increasing demends on engineers to simulate the performance characteristics of a design before it is built of a prototype is developed. For theses demands CAE(Computer-Aided Engineering) offers engineers not only giving confidence of their design but also eliminating potential errors due totesting prototypes in small numbers. This paper present the method to predict the fatigue life using dynamics simulation and FEA(Finite Element Analysis) for construciton equipment in the computer before building prototype. The dynamicsimulatio is to get the load-time history corresponding to the maneuvering and driving of the construction equipment. The FEA is to build a model of the structure and then analyse to define the local stress response to applied loadings using linear static analysis.

Grid Scheduling Model with Resource Performance Measurement in Computational Grid Computing (계산 그리드 컴퓨팅에서의 자원 성능 측정을 통한 그리드 스케줄링 모델)

  • Park, Da-Hye;Lee, Jong-Sik
    • Journal of the Korea Society of Computer and Information
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    • v.11 no.5 s.43
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    • pp.87-94
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    • 2006
  • Grid computing has been developed for resolving large-scaled computing problems through geographically distributed heterogeneous resources. In order to guarantee effective and reliable job processing, grid computing needs resource scheduling model. So, we propose a resource performance measurement scheduling model which allocates job to resources with resource performance measurement. We assess resources using resource performance measurement formula, and implement the resource performance measurement scheduling model in DEVS simulation modeling.

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Analysis of Mateiral Flow in Metal Forming Processes by Using Computer Simulation and Experiment with Model Material (소성가공시 재료유동에 대한 수치해석 및 모델실험)

  • 김헌영;김동원
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.17 no.2
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    • pp.285-299
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    • 1993
  • The objective of the present study is to analyze material flow in the metal forming processes by using computer simulation and experiment with model material, plasticine. A UBET program is developed to analyze the bulk flow behaviour of various metal forming problems. The elemental strain-hardening effect is considered in an incremental manner and the element system is automatically regenerated at every deforming step in the program. The material flow behavior in closed-die forging process with rib-web type cavity are analyzed by UBET and elastic-plastic finite element method, and verified by experiments with plasticine. There were good agreements between simulation and experiment. The effect of corner rounding on material flow behavior is investigated in the analysis of backward extrusion with square die. Flat punch indentation process is simulated by UBET, and the results are compared with that of elastic-plastic finite element method.

A Study on the Resource Allocation Strategies of the Container Terminals Using Simulation Technique (시뮬레이션 기법을 이용한 컨테이너 터미널의 자원할당 전략에 관한 연구)

  • 장성용
    • Journal of the Korea Society for Simulation
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    • v.8 no.4
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    • pp.61-72
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    • 1999
  • This paper presents an estimation method of container handling capacity and selection of resource allocation strategies of container terminals using the computer simulation models. Simulation models are developed to model container terminal consisting of 4 berths considering the berth allocation strategies, crane allocation strategies and the total number of container cranes using Arena simulation package. The proposed models do not consider the yard operations and gate operations. All the input parameters for the models are estimated on the basis of the existing container terminal operation data and the planning data for the automated container terminal planned by Korean government. Four berth allocation strategies and three crane allocation strategies are considered. The total number of container cranes considered ranges from 12 to 15. Non-terminating simulation techniques are utilized for the performance comparison among alternatives. The performance measures such as average ship turnaround time, average ship waiting time, average ship service time, the number of containers handled per year, and the number of ships processed per year are used. The result shows that the berth allocation strategy minimizing the sum of the number of ships waiting, the number of busy container cranes and number of ships handled performs better than any other berth allocation strategies. In addition, the crane allocation strategy allocating up to 5 container cranes per berth performs better than any other crane allocation strategies. Finally there are no significant performance differences among the alternatives consisting of different total number of container cranes allocated.

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Application of Neural Network for the Intelligent Control of Computer Aided Testing and Adjustment System (자동조정기능의 지능형제어를 위한 신경회로망 응용)

  • 구영모;이승구;이영민;우광방
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.30B no.1
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    • pp.79-89
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    • 1993
  • This paper deals with a computer aided control of an adjustment process for the complete electronic devices by means of an application of artificial neural network and an implementation of neuro-controller for intelligent control. Multi-layer neural network model is employed as artificial neural network with the learning method of the error back propagation. Information initially available from real plant under control are the initial values of plant output, and the augmented plant input and its corresponding plant output at that time. For the intelligent control of adjustment process utilizing artificial neural network, the neural network emulator (NNE) and the neural network controller(NNC) are developed. The initial weights of each neural network are determined through off line learning for the given product and it is also employed to cope with environments of the another product by on line learning. Computer simulation, as well as the application to the real situation of proposed intelligent control system is investigated.

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Computer aided design system for robotic painting line (동장공정의 로보틱자동화를 위한 설계지원 시스템)

  • Suh, Suk-Hwan;Cho, Jung-Hoon;Kang, Dae-Ho
    • Journal of the Korean Society for Precision Engineering
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    • v.11 no.5
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    • pp.171-179
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    • 1994
  • For successful implementation of robotic painting system, a structured design and analysis procedure is necessary. In designing robotic system, both functional and economical feasibility should be investigated. As the robotization is complicated task involving implemen- tation details (such as robot selection, accessory design, and spatial layout) together with operation details, the computer aided design and analysis method should be sought. However, conventional robotic design systems and off-line programming systems cannot accommodate these inquiries in a unified fashion. In this research, we develop an interactive design support system for robotization of a cycle painting line. With the developed system called SPRPL (Simulation Package for Robotic Painting Line) users can design the painting objects (via FRAME module), select robot model (ROBOT), design the part hanger (FEEDER), and arrange the workcell. After motion programming (MOTION), the design is evaluated in terms of: a) workpace analysis, b) coating thickness analysis, and c) cycle time (ANALYSIS).

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Cooperation Models and Cooperative Routing for Exploiting Hop-by-Hop Cooperative Diver sity in Ad Hoc Networks

  • Shin, Hee-Wook;Moh, Sang-Man;Chung, Il-Yong
    • Journal of Korea Multimedia Society
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    • v.14 no.12
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    • pp.1559-1571
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    • 2011
  • In wireless ad hoc networks, nodes communicate with each other using multihop routed transmission in which hop-by-hop cooperative diversity can be effectively employed. This paper proposes (i) two cooperation models for per-link cooperation (PLC) and per-node cooperation (PNC) for exploiting cooperative diversity in wireless ad hoc networks and (ii) a cooperative routing algorithm for the above models in which best relays are selected for cooperative transmission. First, two cooperation models for PLC and PNC are introduced and represented as an edge-weighted graph with effective link quality. Then, the proposed models are transformed into a simplified graph and a cooperative routing algorithm with O(n2) time is developed, where n is the number of nodes in the network. The effectiveness of the algorithm is confirmed for the two cooperation models using simulation.

An Effective Power/Ground Network Design of VLSI Circuits to Suppress RLC Resonance Effects (공진현상을 감소시키기 위한 효율적인 파워/그라운드 네트워크 디자인)

  • Ryu, Soon-Keol;Eo, Yung-Seon;Shim, Jong-In
    • Proceedings of the IEEK Conference
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    • 2004.06b
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    • pp.435-438
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    • 2004
  • This paper presents a new analytical model to suppress RLC resonance effects in power/ground lines due to a decoupling capacitor. First, the resonance frequency of an RLC circuit which is composed of package inductance. decoupling capacitor, and output drivers is accurately estimated. Next, using the estimated resonance frequency, a suitable decoupling capacitor sire is determined. Then, a novel design methodology to suppress the resonance effects is developed. Finally, its validity is shown by using $0.18 {\mu}m$ process-based-HSPICE simulation.

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A study on the computer aided testing and adjustment system utilizing artificial neural network

  • Koo, Young-Mo;Woo, Kwang-Bang
    • 제어로봇시스템학회:학술대회논문집
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    • 1992.10b
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    • pp.65-69
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    • 1992
  • In this paper, an implementation of neuro-controller with an application of artificial neural network for an adjustment and tuning process for the completed electronics devices is presented. Multi-layer neural network model is employed with the learning method of error back-propagation. For the intelligent control of adjustment and tuning process, the neural network emulator (NNE) and the neural network controller(NNC) are developed. Computer simulation reveals that the intelligent controllers designed can function very effectively as tools for computer aided adjustment system. The applications of the controllers to the real systems are also demonstrated.

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Computer Simulation of Powertrain Forced Torsional Vibration (차량주행시 동력전달계의 강제진동 해석)

  • 최은오;안병민;홍동표
    • Journal of KSNVE
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    • v.7 no.5
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    • pp.853-860
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    • 1997
  • For this study, the multi-degree of freedom analysis model of torsional vibration was developed. This model is combined with mass moment of inertia and torsional spring in two wheel drive and four wheel drive vehicle. We compared and analyzed torsional vibration characteristics by natural frequencies and mode shapes which are obtained by free vibration analysis of this model. And we studied torsional vibration contribution of driveline elements by performing the forced vibration analysis of engine excitation torque. The validity of this model is demonstrated by the field test. The reduction effect of the torsional vibration along the driveline design factor is presented by the analytical results.

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