• Title/Summary/Keyword: 스포트 용접시스템

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On the Development of Spot and ARC Welding Dual-Purpose Robot System (스포트 및 아크 용접 겸용 로보트 시스템의 개발)

  • Ryuh, B.S.;Lee, Y.J.;Lee, Y.B.
    • Journal of the Korean Society for Precision Engineering
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    • v.12 no.6
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    • pp.13-19
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    • 1995
  • A dual purpose robot automation system is developed for both arc welding and spot welding by one robot within a cell. The need for automation of both arc welding and spot welding processes is urgent while the production volume is not so big as to accommodate separate stations for the two processes. Also, space is too narrow for separate stations to be settled down in the factory. A spot welding robot is chosen and the functions for arc welding are implemented in-house at cost of advanced functions. For the spot welding, a single pole type gun is used and the robot has to push down the plate to be wolded, which causes the robot positioning error. Therefore, position error compensation algorithm is developed. The basic functions for the arc welding processes are implemented using the digital I/O board of robot controller, PLC, and A/D conversion PCB. The weaving pattern is taught in meticulously by manual teach. A fixture unit is also developed for dual purpose. The main aspects of the system is presented in this paper especially in the design and implementation procedure. The signal diagrams and sequence logic diagrams are also included. The outcome of the dual purpose welding cell is the increased productivity and good production stability which is indispensable for production volume prediction. Also, it leads to reduction of manufacturing lead time.

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ON THE DEVELOPMENT OF STUD AND ARC WELDING DUAL-PURPOSE ROBOT SYSTEM (스터트 및 아크 용접 겸용 로보트 시스템의 개발)

  • 이용중;유범상
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1993.10a
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    • pp.582-587
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    • 1993
  • A robot application system is developed for dual purpose of stud welding and are welding to weld plates in the manufacturing of elevator cabin. The production quantity is not so big to accommodate separate stations for stud welding and are welding respectively while the need for randomization of the processes is urgent. A robot with specification for spot welding is chosen, which is appropriate for stud welding. Some implementations are made so that the robot may also be shared for are welding process. Common jig and fixture is designed for the dual purpose. Important aspects in the procedure of system design, installation, and commissioning are stated, and signal set-ups and logic diagrams are illustrated.

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Algorithm and Performance Evaluation of High-speed Distinction for Condition Recognition of Defective Nut (불량 너트의 상태인식을 위한 고속 판별 알고리즘 및 성능평가)

  • Park, Tae-Jin;Lee, Un-Seon;Lee, Sang-Hee;Park, Man-Gon
    • Journal of Korea Multimedia Society
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    • v.14 no.7
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    • pp.895-904
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    • 2011
  • In welding machine that executes existing spot welding, wrong operation of system has often occurs because of their mechanical motion that can be caused by a number of supply like the welding object. In exposed working environment for various situations such as worker or related equipment moving into any place that we are unable to exactly distinguish between good and not condition of nut. Also, in case of defective welding of nut, it needs various evaluation and analysis through image processing because the problem that worker should be inspected every single manually. Therefore in this paper, if the object was not stabilization state correctly, we have purpose to algorithm implementation that it is to reduce the analysis time and exact recognition as to improve system of image processing. As this like, as image analysis for assessment whether it is good or not condition of nut, in his paper, implemented algorithms were suggested and list by group and that it showed the effectiveness through more than one experiment. As the result, recognition rate of normality and error according to the estimation time have been shown as 40%~94.6% and 60%~5.4% from classification 1 of group 1 to classification 11 of group 5, and that estimation time of minimum, maximum, and average have been shown as 1.7sec.~0.08sec., 3.6sec.~1.2sec., and 2.5sec.~0.1sec.