• Title/Summary/Keyword: 지능 공작기계

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Development of Distributed Smart Data Monitoring System for Heterogeneous Manufacturing Machines Operation (이종 공작기계 운용 관리를 위한 분산 스마트 데이터 모니터링 시스템 개발)

  • Lee, Young-woon;Choi, Young-ju;Lee, Jong-Hyeok;Kim, Byung-Gyu;Lee, Seung-Woo;Park, Jong-Kweon
    • Journal of Digital Contents Society
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    • v.18 no.6
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    • pp.1175-1182
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    • 2017
  • Recent trend in the manufacturing industry is focused on the convergence with IoT and Big Data, by emergence of the 4th Industrial Revolution. To realize a smart factory, the proposed system based on MTConnect technology collects and integrates various status information of machines from many production facilities including heterogeneous devices. Also it can distribute the acquisited status of heterogeneous manufacturing machines to the remote devices. As a key technology of a flexible automated production line, the proposed system can provide much possibility to manage important information such as error detection and processing state management in the unmanned automation line.

Adaptive Cutting Parameter Optimization Applied to Face Milling Operations (면삭 밀링공정에서의 절삭조건의 적응 최적화)

  • 고태조;조동우
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.19 no.3
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    • pp.713-723
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    • 1995
  • In intelligent machine tools, a computer based control system, which can adapt the machining parameters in an optimal fashion based on sensor measurements of the machining process, should be incorporated. In this paper, the technology for adaptively optimizing the cutting conditions to maximize the material removal rate in face milling operations is proposed using the exterior penalty function method combined with multilayered neural networks. Two neural networks are introduced ; one for estimating tool were length, the other for mapping input and output relations from experimental data. Then, the optimization of cutting conditions is adaptively implemented using tool were information and predicted process output. The results are demonstrated with respect to each level of machining such as rough, fine and finish cutting.

Knowledge Evolution based Machine-Tool in M2M Environment-Analysis of Ping Agent Based on FIPA-OS and Design of Dialogue Agent Module (M2M환경에서의 지식진화형 지능공작기계-FIPA-OS를 사용하는 Ping Agent 분석 및 Dialogue Agent 모듈설계)

  • Kim, Dong-Hun;Song, Jun-Yeop
    • 연구논문집
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    • s.34
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    • pp.113-119
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    • 2004
  • Recently, the conventional concept of a machine-tool in manufacturing systems is changing from the target of integration to the autonomous manufacturing device based on a knowledge evolution. Subsequently, a machine-tool has been the subject of a cooperation through an advanced environment where an open architecture controller, high speed network and internet technology are contained In the future, a machine-tool will be more improved in the form of a knowledge evolution based device. In order to develop the knowledge evolution based machine-tool, this paper proposes the structure of knowledge evolution and the scheme of a dialogue agent among agent-based modules such as a sensory module, a dialogue module, and an expert system. The dialogue agent has a role of interfacing with another machine for cooperation. To design of the dialogue agent module in M2M(Machine To Machine)environment, FIPA-OS and ping agent based on FIPA-OS are analyzed in this study. Through this, it is expected that the dialogue agent module can be more efficiently designed and the knowledge evolution based machine-tool can be hereafter more easily implemented.

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Development of Process Planning Expert System for Machining of Injection Mold Part (사출금형부품 가공을 위한 공정계획 전문가시스템의 개발 사례)

  • 조규갑;오정수;임주택;노형민
    • Journal of Intelligence and Information Systems
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    • v.2 no.1
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    • pp.27-44
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    • 1996
  • 컴퓨터통합생산 시스템의 실현을 위한 중요한 분야의 하나의 부품설계도면으로부터 최종제품을 생산 하는데 필요한 공정계획의 자동화, 즉 컴퓨터지원 자동공정계획(Computer Aided Process Planning ; CAPP) 시스템 기술의 개발이다. 국내외적으로 금형가공 부품을 대상으로 한 CAPP 시스템의 개발은 비교적 저조하므로, 본 연구에서는 사출금형 부품을 대상으로 하여 실용성이 있는 공정계획 전문가시스템 개발을 목적으로 한다. 본 연구에서 금형 공정계획전문가의 경험적 지식을 기반으로 한 사출금형부품의 공정계획 전문가시스템인 MOLDCAPP을 개발하였다. MOLDCAPP 시스템은 도면정보로부터 형상정보를 자동적으로 인식하여 공정계획의 기능 중에서 가동공정, 가공공정 순서, 공작기계 및 절삭공구를 자동적으로 결정한다. 개발된 MOLDCAPP 시스템은 실제 사례연구를 통하여 그 타당성을 분석하였다.

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Design of an Intelligent Controller of Mobile Robot Using Genetic Algorithm (제네틱 알고리즘을 이용한 이동로봇의 지능제어기 설계)

  • 정동연;김종수;한성현
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2003.10a
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    • pp.207-212
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    • 2003
  • This paper proposed trajectory tracking control of Mobile Robot. Trajectory tracking control scheme are Real coding Genetic-Algorithm and Back-propergation Algorithm. Control scheme ability experience proposed simulation.

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Constructing Rule Base of knowledge structure for Intelligent Machine Tools (지능공작기계 지식구조의 규칙베이스 구축)

  • Lee S.W.;Kim D.H.;Lim S.J.;Song J.Y.;Lee H.K.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2005.10a
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    • pp.954-957
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    • 2005
  • In order to implement Artificial Intelligence, various technologies have been widely used. Artificial Intelligence is applied for many industrial product and machine tools are the center of manufacturing devices in intelligent manufacturing system. The purpose of this paper is to present the construction of Rule Base for knowledge structure that is applicable to machine tools. This system is that decision whether to act in accordance with machine status is support system. It constructs Rule Base of knowledge used of machine toots. The constructed Rule Base facilitates the effective operation and control of machine tools and will provide a systematic way to integrate the expert's knowledge that will apply Intelligent Machine Tools.

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Intelligent Diagnosis of Grinding State Using AE and Power Signals (음향방출과 동력 신호에 의한 인공지능형 연삭상태 진단)

  • Kwak, J.S.;Ha, M.K.
    • Journal of Power System Engineering
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    • v.6 no.2
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    • pp.60-67
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    • 2002
  • 연삭가공은 나노스케일(Nano-scale)의 미소한 입자 절삭날을 이용한 가공으로, 공작물의 표면을 경면(Mirror surface)으로 가공할 수 있어 제품의 최종 마무리공정으로 사용되어 왔다. 그러나 연삭공정에 있어서는 공구(연삭숫돌)의 수명이 다하거나 가공계(Machining system)가 불안정해지면 채터진동과 연삭버닝 등의 현상이 발생하여 가공물의 표면품위를 저하시키는 요인으로 작용하고 있다. 따라서 본 연구는 원통플른지 연삭공정을 대상으로 공작물에서 발생하는 음향방출 신호와 연삭기 주축 모터의 동력 신호를 연삭가공 중에 검출하고, 이를 신경회로망에 적용하여 연삭가공 상태를 진단하는 시스템을 구축하고, 그 성능을 평가하였다.

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Development of Plug-n-Play Automation System for Machine Tending through Digital Twin (디지털 트윈을 활용한 Plug-n-Play 머신텐딩 자동화 시스템 개발)

  • Park, Yong-Keun;Kim, Sujong;Um, Jumyung
    • The Journal of Society for e-Business Studies
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    • v.25 no.4
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    • pp.143-154
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    • 2020
  • With the increasing trend of making manufacturing system intelligent and autonomous, the introduction of robot-assist automation, like machine tending system for automated operation of CNC machine tools, is being actively carried out at many industrial sites. Most important part of this intelligent system to install machine tending system, is interface programming between the CNC machine tools and the industrial robot. Despite this importance, however, the machine tending system has many setup problems. it is necessary for difficult re-program of both controllers whenever a new CNC machine tool or robot is introduced. And, the helps of external engineers is required even though trivial changes due to the complex structure of the machine tending system. Authors of this paper introduces the integrated system of the interface between heterogeneous CNC machine tools and industrial robots. In addition, the digital twin implemented inside the machine tool controller enable shop-floor operators to change the interface programming easily. To implement this system, an integrated development environment for 1) an intelligent HMI platform that provide standardized interfaces to heterogeneous CNC machine tools and 2) a robot platform developing application software of various robots, was established. For easy un-tact environment, this paper explain the development of 3) a game-engine based web program of controlling and monitoring machine tending system remotely.

Development of a Multiple Monitioring System for Intelligence of a Machine Tool -Application to Drilling Process- (공작기계 지능화를 위한 다중 감시 시스템의 개발-드릴가공에의 적용-)

  • Kim, H.Y.;Ahn, J.H.
    • Journal of the Korean Society for Precision Engineering
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    • v.10 no.4
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    • pp.142-151
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    • 1993
  • An intelligent mulitiple monitoring system to monitor tool/machining states synthetically was proposed and developed. It consists of 2 fundamental subsystems : the multiple sensor detection unit and the intellignet integrated diagnosis unit. Three signals, that is, spindle motor current, Z-axis motor current, and machining sound were adopted to detect tool/machining states more reliably. Based on the multiple sensor information, the diagnosis unit judges either tool breakage or degree of tool wear state using fuzzy reasoning. Tool breakage is diagnosed by the level of spindle/z-axis motor current. Tool wear is diagnosed by both the result of fuzzy pattern recognition for motor currents and the result of pattern matching for machining sound. Fuzzy c-means algorithm was used for fuzzy pattern recognition. Experiments carried out for drill operation in the machining center have shown that the developed system monitors abnormal drill/states drilling very reliably.

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