• Title/Summary/Keyword: Machine simulator

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GK-DEVS : Geometric and Kinematic DEVS for Simulation of 3 Dimensional Man-Made Systems (GK-DEVS : 3차원 인간제작 시스템의 시뮬레이션을 위한 형상 기구학 DEVS)

  • 황문호;천상욱;최병규
    • Journal of the Korea Society for Simulation
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    • v.9 no.1
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    • pp.39-54
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    • 2000
  • Presented in this paper is a modeling and simulation methodology for 3 dimensional man-made systems. Based on DEVS(discrete event system specification) formalism[13], we propose GK-DEVS (geometrical and kinematic DEVS) formalism to describe the geometrical and kinematic structure and continuous state dynamics. To represent geometry and kinematics, we add a hierarchical structure to the conventional atomic model. In addition, we employ the "empty event" and its external event function for continuous state changing. In terms of abstract simulation algorithm[13], the simulation method of GK-DEVS, named GK-Simulator, is proposed for combined discrete-continuous simulation. Using GK-DEVS, the simulation of an FMS(flexible manufacturing system) consisting of a luring machine, a 3-axis machine and a RGV-mounted robot has been peformed.en peformed.

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NC Technology for High-Precision Machining in Machining Centers (머시닝센터에서 고정밀 가공을 위한 NC 기술)

  • 정성종
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1994.10a
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    • pp.748-754
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    • 1994
  • This paper deals with a geometric error simulator, measurement and inspection of workpiece errors on the machine tools, and identification and compensation methodology of thermal errors in machining centers. In order to raise the machining accuracy of workpieces a measurement and inspection system on the machine tool is developed. By using MPPGT module Manual and CNC type CMMs are realized on the machining centers. To compensate for geometric and thermal deformation errors of machining centers, a real time and an off line geometric adaptive control system were developed on the machining centers. A vertical and a horizontal machining center equipped with FANUC 0MC were used for experiments. Performance of the systems were confirmed with a large amount of experiment.

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Intelligent AGV Machine-Learning System based on Self-Driving Simulator for Smart Factory (스마트 팩토리를 위한 자율주행 시뮬레이터 기반 지능형 AGV 머신러닝 시스템)

  • Lee, Se-Hoon;Kim, Ki-Cheol;Mun, Hwan-Bok;Kim, Do-Gyun
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2017.07a
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    • pp.17-18
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    • 2017
  • 본 논문은 스마트 팩토리의 중요 요소인 무인반송차(AGV)를 자율 주행시키기 위해 오픈 소스 자율 주행차 시뮬레이터인 udacity를 이용해 머신 러닝시키는 시스템을 개발하였다. 공장의 운행 루트를 자율주행 시뮬레이터의 전경으로 가공하고, 3개의 카메라를 부착시킨 AGV를 운행시키면서 머신 러닝시킨다. AGV를 주행하여 얻어진 여러 학습 데이터를 통해 도출된 결과들을 각각 비교하여 우수한 모델을 선정하고 운행시킨 결과 AGV가 정해진 운행 루트를 정확하게 주행하는 것을 확인하였다. 이를 통해, 가상 운행 환경에서 저비용으로 AGV 운행 학습이 가능하다는 것을 보였다.

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Development of operating software for AS/RS including communication protocol (통신프로토콜을 포함한 자동창고 운용소프트웨어 개발)

  • Son, Kyoung-Joon;Jung, Moo-Young;Lee, Hyun-Yong;Song, Joon-Yeob
    • IE interfaces
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    • v.8 no.1
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    • pp.45-52
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    • 1995
  • Automated Storage and Retrieval System (AS/RS), which is an element of Computer Integrated Manufacturing (CIM), is a widely used material handling equipment with conveyors and Automatic Guided Vehicles (AGVs). Until now the evaluation of operational policies of AS/RS and control algorithms is done theoretically or by computer simulations. In this study, a real-time control and communication software for an AS/RS is developed for actually moving AS/RS miniature. A PC-based real-time operational program can control the AS/RS directly through the communication port. The operational system has additional functions such as storage/retrieval management, inventory management, statistics management, and protocol simulation. The communication protocol simulator of S/R machine can be used for the controller of an S/R machine.

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A JIT Production Scheduling in Multi-Level Parallel Machine Flow Shops (다단계 병렬기계(多段階 竝列機械) 흐름생산에서 JIT 일정계획)

  • Yoo, Chul-Soo;Lee, Young-Woo;Chung, Nam-Kee
    • IE interfaces
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    • v.7 no.3
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    • pp.171-180
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    • 1994
  • Defined is a Multi-level Parallel Machine Flow-Shop (MPMFS) which reflects some real world manufacturing situations. Just-In-Time (JIT) philosophy is applied to the MPMFS scheduling in order to achieve lowering work-in-process inventory level as well as meeting due dates. A schedule generating simulator is developed. The latest start time of each operation is determined by a backward simulation followed by another forward simulation to analyze the schedule feasibility and actual inventory level. Reasonable schedules are available through adjusting some parameters for allowance factors such as set-up times of machines and other environmental changes. The SLAMSYSTEM under Window is employed for this processing with some input/output data handling processes devised under DOS.

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Implementation of Virtual M2M Simulator using Knapsack Problem Algorithm (Knapsack Problem 알고리즘을 이용한 가상의 M2M 시뮬레이터 구현)

  • Lee, Sun-Sic;Song, Min-Seop;Kim, Gu-Hyun;Jang, Jong-Wook
    • Proceedings of the Korea Information Processing Society Conference
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    • 2013.11a
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    • pp.497-500
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    • 2013
  • 사물지능통신(Machine to Machine, M2M) 기술이 부각됨에 따라, 기존의 통신에 비해 사용되는 단말의 수가 점점 증가하고 있다. 따라서 다수의 단말로부터 전송하는 데이터가 이동통신 네트워크를 이용함에 있어 트래픽이 한계상황에 도달하여 원활하지 못한 통신망 운용을 초래할 수 있다. 본 연구는 M2M 통신에서 사용하게 될 이동통신망이 한계점에 도달했을 때 M2M 서비스의 원활한 처리를 위해 Knapsack Problem 알고리즘을 이용하여 가상의 시뮬레이터를 구현하였다. 가상의 시뮬레이터는 각각의 장비 그룹별로 데이터가 들어오게 되면 이동통신망에서 우선적으로 처리해야 될 M2M 통신의 서비스의 처리부터 나중에 처리 될 서비스까지 원활한 처리방법을 위해 구현하였으며, M2M 기술이 더욱 발전하게 되어 점차 소형화 되는 사물들이 많아짐에 따라, 폭증하게 될 이동통신망에서 M2M 서비스를 처리하는 것이 원활하도록 도움을 줄 것이다.

Defect structure classification of neutron-irradiated graphite using supervised machine learning

  • Kim, Jiho;Kim, Geon;Heo, Gyunyoung;Chang, Kunok
    • Nuclear Engineering and Technology
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    • v.54 no.8
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    • pp.2783-2791
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    • 2022
  • Molecular dynamics simulations were performed to predict the behavior of graphite atoms under neutron irradiation using large-scale atomic/molecular massively parallel simulator (LAMMPS) package with adaptive intermolecular reactive empirical bond order (AIREBOM) potential. Defect structures of graphite were compared with results from previous studies by means of density functional theory (DFT) calculations. The quantitative relation between primary knock-on atom (PKA) energy and irradiation damage on graphite was calculated. and the effect of PKA direction on the amount of defects is estimated by counting displaced atoms. Defects are classified into four groups: structural defects, energy defects, vacancies, and near-defect structures, where a structural defect is further subdivided into six types by decision tree method which is one of the supervised machine learning techniques.

A Study of the development of a visualization MMI for Power System Phenomenons (전자계통 현상 시각화 MMI 개발에 관한 연구)

  • Lee, Wook-Hwa;Park, In-Kun;Kim, Wook;Lee, Jin;Choe, Jong-Woong;Yoon, Y.B.;Jang, G.S.
    • Proceedings of the KIEE Conference
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    • 1999.11b
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    • pp.175-177
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    • 1999
  • This paper presents a prototype of visualization MMI of the Power System Phenomenon, specially synchronous machine dynamics and frequency deviations of power system for KEPCO's Enhanced Power System Simulator(KEPS)[1]. And some visualization designs of the Power System Phenomenons such as voltage stability, transient stability, SSR, Line overflow, and voltage deviations are presented. The prototype MMI has included the animations & 3D graphics presentations for synchronous machine rotor deviations and frequency deviations. So, a user can intuitively acquire the basic concepts of the power system oscillations. Finally, it will be scheduled to development of the various visualization MMI of the power system phenomenons for development and installation of KEPS.

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Raspberry Pi Based Smart Adapter's Design and Implementation for General Management of Agricultural Machinery (범용 농기계관리를 위한 라즈베리 파이 기반의 스마트어댑터 설계 및 구현)

  • Lee, Jong-Hwa;Cha, Young-Wook;Kim, Choon-Hee
    • The Journal of Korean Institute of Information Technology
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    • v.16 no.12
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    • pp.31-40
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    • 2018
  • We designed and implemented the attachable smart adapter for the general management of each company's agricultural machine regardless of whether it is equipped with a CAN (Controller Area Network) module. The smart adapter consists of a main board (Raspberry Pi3B), which operates agricultural machine's management software in Linux environment, and a self-developed interface board for power adjustment and status sensing. For the status monitoring, a sensing interface using a serial input was defined between the smart adapter and the sensors of the agricultural machine, and the state diagram of the agricultural machine was defined for diagnosis. We made a panel to simulate the sensors of the agricultural machine using the switch's on/off contact point, and confirmed the status monitoring and diagnostic functions by inputting each state of the farm machinery from the simulator panel.

3D Wear Analysis of Valve Assemblies by Using the Machine Vision (머신비전을 이용한 밸브어셈블리의 3차원 마멸특성 분석)

  • Park Chang-Woo;Chung Sung-Chong
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.30 no.5 s.248
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    • pp.496-504
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    • 2006
  • Wear of engine valves and seat inserts is a major factor affecting engine performance. In order to improve quality and life of valve assemblies, wear mechanism and 3-D surface topography should be analyzed according to operating conditions of the engine. After developing an engine simulator that generates valve speed up to 90Hz and temperature up to $900^{\circ}C$ as well as controls test load, wear experiments have been conducted for two different engine speeds as 10Hz and 25Hz. In order to observe the wear characteristics and monitor surface conditions of the valve assemblies, a cost-effective 3-D wear analysis system based on the shape from focus(SFF) and machine vision has been fabricated in this paper. 3-D surface topography of the valve assemblies has been analyzed to understand the wear behavior according to operating conditions of the engine. Consequently, wear volume of the valve assemblies is quantized by using the developed 3-D wear analysis system.