• Title/Summary/Keyword: 용접 로봇

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Effect of the Change of welding torch and piece arrangement by the 3-dimensional robot welding simulation (3차원 로봇용접 시뮬레이션에 의한 용접토치 및 부재배치의 변경에 따른 영향 평가)

  • 강현진;박주용;박현철;차태인;최동환
    • Proceedings of the KWS Conference
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    • 2003.11a
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    • pp.150-152
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    • 2003
  • This simulation was carried out to estimate the process time and to improve the operation efficiency. The subassembly process consists of piece arrangement, tack welding, robot welding, manual welding and the robot welding of them was the focus of the simulation. Robot welding stage was analyzed by UML and IDEFø method, and then it was represented as the three-dimensional model(simulator) based on the analysis. The output of this simulation was the cycle time for one day's work. The cycle time for the different torch and the different piece arrangement was investigated by the 3-dimensional simulation.

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The Cooperation of Arc Welding Robot and Manipulator for Continuous Welding of Corner Area (모서리 부위 연속 용접을 위한 아크 용접 로봇과 포지셔너의 협업)

  • 장교근;유범상
    • Proceedings of the KWS Conference
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    • 1996.05a
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    • pp.96-98
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    • 1996
  • Welding of corner area across the edge is a difficult problem in robotized arc welding system, especially when continuously-welded leakage-proof product is required. This paper presents the methodology of cooperation plan of an arc welding robot and 1 or 2 axis welding manipulators for corner area welding. Welding trajectory for the robot is generated using clothoid curves; symmetrical double clothoid curve or unsymmetrical clothoid curve depending on the nature of the workpiece. The clothoid curve is first formulated for the case of linear type positioning table and then applied to the case of rotary type manipulator. The methodology is then illustrated for practical downhand welding situations.

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A Study on Signal Processing Method for Welding Current in Automatic Weld Seam Tracking System (용접선 자동추적시 용접전류 신호처리 기법에 관한 연구)

  • 문형순;나석주
    • Journal of Welding and Joining
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    • v.16 no.3
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    • pp.102-110
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    • 1998
  • The horizontal fillet welding is prevalently used in heavy and ship building industries to fabricate the large scale structures. A deep understanding of the horizontal fillet welding process is restricted, because the phenomena occurring in welding are very complex and highly non-linear characteristics. To achieve the satisfactory weld bead geometry in robot welding system, the seam tracking algorithm should be reliable. The number of seam tracker was developed for arc welding automation by now. Among these seam tracker, the arc sensor is prevalently used in industrial robot welding system because of its low cost and flexibility. However, the accuracy of arc sensor would be decreased due to the electrical noise and metal transfer. In this study, the signal processing algorithm based on the neural network was implemented to enhance the reliability of measured welding current signals. Moreover, the seam tracking algorithm in conjunction with the signal processing algorithm was implemented to trace the center of weld line. It was revealed that the neural network could be effectively used to predict the welding current signal at the end of weaving.

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Development of a Mash Seam Welder for the Factory Application (현장 적용형 Mash seam 용접기의 개발)

  • 이왕하;박상국
    • Journal of Institute of Control, Robotics and Systems
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    • v.10 no.5
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    • pp.411-414
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    • 2004
  • In this paper, a power controller and 3 phase voltage source inverter are proposed for the improvement of weldability of large scaler Mash seam welder. The welder system is designed for the low cost and the improvement of weldability. For this system, the thyristor convertor has performed constant current controlling in the output terminal by using PAM type inverter. We have simulated our algorithm and made a prototype welder for experiment. Through the experiment, we have confirmed the improvement of weldability of our system.

Design of ship dry multi-function handling robot (선박건조용 다기능 핸들링로봇의 설계)

  • 권광진;전재억;정진서;황영모;박후명;하만경
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2004.04a
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    • pp.231-234
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    • 2004
  • Ratio that robot occupies is low level worldwide fairly in suspension wire, electricity electron and neutralization learning industry and domestic industry of this is staring in average love. Can speak that grafting of robotic machine and neutralization learning industry is high in terms of side of creation of the added value or progress of technology rightly hereupon. This research raises or designed multi-function handling robot that can make welding, assembly conveniently catching large size work water

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Arc welding robot controller (아크 용접 로보트 제어기)

  • 김성권;김동일;황찬영;윤명균
    • 제어로봇시스템학회:학술대회논문집
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    • 1993.10a
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    • pp.270-275
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    • 1993
  • In this paper, the arc welding robot controller using a touch sensor and a arc sensor is presented. The controller is composed of robot controller parts for moving torch, and arc welding controller for welding and tracking. In the controller, an compensated data is generated to control robot trajectory and seam tracking by the arc sensor function. The data is obtained by integration of arc current. Experimental results are presented confirming the controller performance.

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Development of a task level automatic programming system for arc welding automation (아아크 용접 자동화를 위한 태스크 레벨 자동 프로그래밍 시스템 개발)

  • 박현자;이범희
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.1396-1399
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    • 1996
  • With the progress in process automation, it becomes necessary that a robot should have various sophisticated capabilities. A robot programming language is a tool that can give a robot such capabilities without any change in robot architecture. Especially a task level automatic programming system enables a robot able to perform a job intelligently. Therefore anyone who is not an expert on welding or robot programming can easily use it. In this research, basic automatic welding program is combined with workspace information, which makes users do an arc welding job automatically.

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A seam tracking algorithm based on laser vision (레이저 카메라를 이용한 용접선의 추적)

  • Cho, Hyun-Joong;Ryu, Hyun;Oh, Se-Young
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.593-596
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    • 1996
  • A seam tracking control system with a tool position control and a camera orientation control, has been developed here. For the camera orientation contro, SOFNN was used to learn the expert control signal. The SOFNN algorithm can adjust the fuzzy set parameters and determine the fuzzy logic structure.

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