• 제목/요약/키워드: Automatic robot welding

검색결과 40건 처리시간 0.025초

검사공정 자동화를 위한 실시간 비전알고리즘 개발 및 응용에 관한 연구 (A Study on Development and Application of Real Time Vision Algorithm for Inspection Process Automation)

  • 백승학;황원준;신행봉;최영식;박대영
    • 한국산업융합학회 논문집
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    • 제19권1호
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    • pp.42-49
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    • 2016
  • This study proposes a non-contact inspective technology based robot vision system for Faulty Inspection of welding States and Parts Shape. The maine focus is real time implementation of the machining parts' automatic inspection by the robotic moving. For this purpose, the automatic test instrument inspects the precision components designator the vision system. pattern Recognition Technologies and Precision Components for vision inspection technology and precision machining of precision parts including the status and appearance distinguish between good and bad. To perform a realization of a real-time automation integration system for the precision parts of manufacturing process, it is designed a robot vision system for the integrated system controller and verified the reliability through experiments. The main contents of this paper, the robot vision technology for noncontact inspection of precision components and machinery parts is useful technology for FA.

로봇 $CO_2$ 아크용접 공정변수를 제어하기 위한 수학적 모델 개발 (Development of Mathematical Models for Control of Process Parameters for Robotic $CO_2$ Arc Welding)

  • 임동엽;박창언;김일수;정영재;손준식;이계정
    • 대한용접접합학회:학술대회논문집
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    • 대한용접접합학회 1997년도 특별강연 및 추계학술발표 개요집
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    • pp.229-233
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    • 1997
  • The demand to increase productivity and quality, the shortage of skilled labour and the strict health and safety requirements have led to the development of the automated welding process to deal with many of the present problems of welded fabrication. To make effective use of the automated arc welding process, it is imperative that a mathematical model, which can be programmed easily and fed to the robot, should be developed. The objectives of the paper are to develop the mathematical equations (linear and curvilinear) for study of the relationship between process variables and bead geometry by employing a standard statistical package program, SAS and to choose the best model for automation of the $CO_2$ gas arc welding process. Mathematical models developed from experimental results can be employed to control the process variables in order to achieve the desired bead geometry based on weld quality criteria. Also these equations may prove useful and applicable for automatic control system and expert systems.

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GMA용접에서 비드단면형상을 예측하기 위한 실험적 모델의 개발 (Development of Experimental Model fer Bead profile Prediction in GMA Welding)

  • 손준식;김일수;박창언;김인주;정호성
    • Journal of Welding and Joining
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    • 제23권4호
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    • pp.41-47
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    • 2005
  • Generally, the use of robots in manufacturing industry has been increased during the past decade. GMA(Gas Metal Arc) welding process is an actively Vowing area, and many new procedures have been developed for use with high strength alloys. One of the basic requirement for the automatic welding applications is to investigate relationships between process parameters and bead geometry. The objective of this paper is to develop a new approach involving the use of neural network and multiple regression methods in the prediction of bead geometry for GMA welding process and to develop an intelligent system that visualize bead geometry in order to employ the robotic GMA welding processes. Examples of the simulation for GMA welding process are supplied to demonstrate and verify the proposed system developed using MATLAB. The developed system could be effectively implemented not oかy for estimating bead geometry, but also employed to monitor and control the bead geometry in real time.

굴삭기공장의 로봇용접 작업장 설계에 대한 3D 시뮬레이선 사례 연구 (A Case Study of the Design of Robot Welding Station in an Excavator Factory Using 3D Simulation)

  • 문덕희;조현일;백승근
    • 한국시뮬레이션학회논문지
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    • 제15권1호
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    • pp.51-58
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    • 2006
  • 가상생산은 새로운 제품의 개발, 새로운 설비의 개발, 새로운 생산시스템의 개발에 활용할 수 있는 매우 유용한 기술이다. 이 기술을 사용하면 실제 생산활동이 수행되기 이전에 다양한 설계오류를 수정할 수 있다. 본 논문은 가상생산기술을 굴삭기 생산공정에 적용한 사례다. 굴삭기 상부 부품의 하나인 붐과 상판회전체의 최종 용접공정을 연구의 대상으로 선택하였다. CATIA를 이용하여 각 부품의 3D 모델과 치구의 3D 모델을 개발하였으며, IGRIP을 이용하여 용접공정의 3D 시뮬레이션 모델을 개발하였다. 이러한 3D 모델들을 치구의 설계검증과 로봇시스템의 동작경로 검증등에 활용하였다. 결과적으로 수동 용접공정을 로봇을 이용한 자동용접공정으로 전환하였으며, 그 과정에서 설계오류에 의해 발생하는 재 작업시간과 비용을 감축시켰다.

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선박외판 문자 자동용접 시스템의 개발 (Development of a Automatic Welding System for Various Marks on the Hull of Vessels)

  • 윤훈성;양종수;김호경;최영달
    • 대한조선학회 특별논문집
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    • 대한조선학회 2008년도 특별논문집
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    • pp.90-95
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    • 2008
  • The letters and marks on the hull of vessels are marked by welding bead or steel plate to resist the corrosion environment. It has done by manual work. So, it cause deterioration of welding quality and process delay and so on. The automated welding device for draft mark has developed partially in the field of shipbuilding. But it can be used for draft mark only. And it has caused a few problems about that workablity and movablity are decreased owing to the size and weight of device. So we developed the automated welding device that can be used for most letters and marks on the hull. It designed to 3 axises mobile robot include to ratoation axis and stand alone type controller with multi GUI base on imbedded windows.

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컨테이너 제작을 위한 용접선 추적에 관한 연구 (A Study on the Seam tracking for container box manufacture)

  • 표종우;안병원;엄한성;남택근
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2005년도 추계종합학술대회
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    • pp.195-199
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    • 2005
  • 현재 조선 산업의 대형 블록제작 용접공정에서 용접용 캐리지(Carriage)를 이용한 반자동 용접 방법이 많이 사용되고 있다. 여기서의 캐리지는 수평 필렛 용접에서 용접 토치를 이송해 주는 장치이지만, 로봇 용접방법처럼 용접선을 추적하는 기능이 없어 곡선용접에는 사용이 불가능하며, 단순히 직선용접에만 사용할 수 있다. 또, 용접선을 추적하는 기능이 없기 때문에 직선용접에서도 용접오류가 자주 발생하여 이를 수정하는데 많은 시간과 비용이 소요되고 있다. 이에 본 논문에서는 현재 사용하고 있는 캐리지에 스트레인 게이지를 이용한 용접선 추적 센서와 80C196KC 마이크로컨트롤러를 추가 설치하여 직선 및 곡선용접에서 용접선을 자동으로 추적할 수 있는 시스템을 개발하여 사선 모형 및 컨테이너 박스 모형 용접선을 제작하여 추적현상에 대해 고찰하여 보았다.

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레이저빔 수직투사 구조의 시각장치를 이용한 실시간 용접선추적 시스템 (Real-Time Seam Tracking System Using a Visual Device with Vertical Projection of Laser Beam)

  • 김진대;이재원;신찬배
    • 한국정밀공학회지
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    • 제24권10호
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    • pp.64-74
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    • 2007
  • Because of the size and environment in the shipbuilding process, the portable type robot is required for the automatic seam tracking. For this reason, the structure of laser sensor should be considered in the initial design step and the coordinate transformation between welding robot and laser sensor, which is joint finder, must be identified exactly and the real time tracking algorithm based on these consideration could be developed. In this research, laser displacement sensor in which its structure is laser beam's vertical projection, is developed to recognize the location of weld joint. In practical applications, however, images of weld joints are often degraded because of the surface specularity or spatter. To overcome the problem, the constrained joint finding algorithm is proposed. In the approach of coordinate conversion rule for the visual feedback control among welding torch, robot body and laser sensor is applied by the same reference point method. In the real time seam tracking algorithms we propose constrained sampling method which uses look ahead distance. The RLS(Recursive Least Square) filter is applied to obtain the smooth tracking path from the sensitive edge data. From the experimental results, we could see the possibility that the developed laser sensor with proposed processing algorithm and real time seam tracking method can be used as a welding under the shipbuilding condition.

뉴럴 네트워크 알고리즘을 이용한 비드 가시화 (Using Neural Network Algorithm for Bead Visualization)

  • 구창대;양형석;김중영;신상호
    • Journal of Welding and Joining
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    • 제31권5호
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    • pp.35-40
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    • 2013
  • In this paper, we propose the Tangible Virtual Reality Representation Method to using haptic device and feature to morphology of created bead from Flux Cored Arc Welding. The virtual reality was started to rising for reduce to consumable materials and welding training risk. And, we will expected maximize virtual reality from virtual welding training. In this paper proposed method is get the database to changing the input factor such as work angle, travelling angle, speed, CTWD. And, it is visualization to bead from extract to optimal morphological feature information to using the Neural Network algorithm. The database was building without error to extract data from automatic robot welder. Also, the Neural Network algorithm was set a dataset of the highest accuracy from verification process in many times. The bead was created in virtual reality from extract to morphological feature information. We were implementation to final shape of bead and overlapped in process by time to using bead generation algorithm and calibration algorithm for generate to same bead shape to real database in process of generating bead. The best advantage of virtual welding training, it can be get the many data to training evaluation. In this paper, we were representation bead to similar shape from generated bead to Flux Cored Arc Welding. Therefore, we were reduce the gap to virtual welding training and real welding training. In addition, we were confirmed be able to maximize the performance of education from more effective evaluation system.

Automatic Inspection of Reactor Vessel Welds using an Underwater Mobile Robot guided by a Laser Pointer

  • Kim, Jae-Hee;Lee, Jae-Cheol
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2004년도 ICCAS
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    • pp.1116-1120
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    • 2004
  • In the nuclear power plant, there are several cylindrical vessels such as reactor vessel, pressuriser and so on. The vessels are usually constructed by welding large rolled plates, forged sections or nozzle pipes together. In order to assure the integrity of the vessel, these welds should be periodically inspected using sensors such as ultrasonic transducer or visual cameras. This inspection is usually conducted under water to minimize exposure to the radioactively contaminated vessel walls. The inspections have been performed by using a conventional inspection machine with a big structural sturdy column, however, it is so huge and heavy that maintenance and handling of the machine are extremely difficult. It requires much effort to transport the system to the site and also requires continuous use of the utility's polar crane to move the manipulator into the building and then onto the vessel. Setup beside the vessel requires a large volume of work preparation area and several shifts to complete. In order to resolve these problems, we have developed an underwater mobile robot guided by the laser pointer, and performed a series of experiments both in the mockup and in the real reactor vessel. This paper introduces our robotic inspection system and the laser guidance of the mobile robot as well as the results of the functional test.

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배관용접부 결함검사 자동화 시스템 개발 (The Development of Automatic Inspection System for Flaw Detection in Welding Pipe)

  • 윤성운;송경석;차용훈;김재열
    • 한국공작기계학회논문집
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    • 제15권2호
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    • pp.87-92
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    • 2006
  • This paper supplements shortcoming of radioactivity check by detecting defect of SWP weld zone using ultrasonic wave. Manufacture 2 stage robot detection systems that can follow weld bead of SWP by method to detect weld defects of SWP that shape of weld bead is complex for this as quantitative. Also, through signal processing ultrasonic wave defect signal system of GUI environment that can grasp easily existence availability of defect because do videotex compose. Ultrasonic wave signal of weld defects develops artificial intelligence style sightseeing system to enhance pattern recognition of weld defects and the classification rate using neural net. Classification of weld defects that do fan Planar defect and that do volume defect of by classify.