• Title/Summary/Keyword: Laser weld

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Environment Modeling for Autonomous Welding Robotus

  • Kim, Min-Y.;Cho, Hyung-Suk;Kim, Jae-Hoon
    • Transactions on Control, Automation and Systems Engineering
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    • v.3 no.2
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    • pp.124-132
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    • 2001
  • Autonomous of welding process in shipyard is ultimately necessary., since welding site is spatially enclosed by floors and girders, and therefore welding operators are exposed to hostile working conditions. To solve this problem, a welding robot that can navigate autonomously within the enclosure needs to be developed. To achieve the welding ra나, the robotic welding systems needs a sensor system for the recognition of the working environments and the weld seam tracking, and a specially designed environment recognition strategy. In this paper, a three-dimensional laser vision system is developed based on the optical triangulation technology in order to provide robots with work environmental map. At the same time a strategy for environment recognition for welding mobile robot is proposed in order to recognize the work environment efficiently. The design of the sensor system, the algorithm for sensing the structured environment, and the recognition strategy and tactics for sensing the work environment are described and dis-cussed in detail.

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Development of Mash-Seam Welding Process by Flat Electrode Continuous Welding (평판전극 연속타점에 의한 매쉬심 용접기법 개발)

  • 조상명;조호재
    • Journal of Welding and Joining
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    • v.21 no.5
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    • pp.513-517
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    • 2003
  • Resistance welding processes are widely used in automotive applications. In particular, Mash-Seam resistance welding is typically used in Tailored Blank process. If spot welds are changed to a continuous weld, it's easy to reduce noise and to be more stable in cars. A arc welding, laser welding, seam welding using wheel electrode are available to make continuous welds on a car body, but they demand operator with advanced skills and expensive cost to develop. Therefore, flat electrode continuous mash-seam resistance welding process has been used to improve the weak points in currently available system in lap seam welding. This developed process has much more strength and air tightability, and also has much better plastic workability than laser welding. Moreover, commercial RSW machine can be readily used in this welding process.

Effect of laser welding variables on the formability of Si added steel welds (Si 첨가강의 레이저용접부 성형성에 미치는 용접변수의 영향)

  • Park Jun-Sik;U In-Su;Lee Jong-Bong
    • Proceedings of the KWS Conference
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    • 2006.05a
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    • pp.121-123
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    • 2006
  • The aim of present study is to investigate the effect of welding parameters and heat treatment conditions on the formability of the laser welded silicon steel sheet. It was found that there is optimum range of the heat input ($0.6{\sim}0.7kJ/cm$) and gap distance ($0.125{\sim}0.150mm$) for the high tensile strength and the avoidance of the fracture in weld metal, Also, it was essential for the improvement of formability to perform pre- and post-welding heat treatment which cause the uniform mixture of base metal and welding consumable.

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Automatic Seam Tracking for Plasma Arc Welding of a Corrugation Panel (파형부재의 플라즈마 아크용접을 위한 자동 용접선 추적)

  • Yang, Joo-Woong;Park, Young-Jun
    • Proceedings of the KSME Conference
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    • 2003.11a
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    • pp.1506-1511
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    • 2003
  • This paper describes an automatic weld seam tracking method of plasma arc welding system designed for the corrugation panel that consists of a linear section and a curved section with various curvatures. Due to the complexity of the panel shape, it is difficult to find a seam and operate a torch manually in the welding process. So, the laser vision sensor for seam tracking is designed for sensing the seam position and controlling a torch automatically. To achieve precise seam tracking, the design of sensor head, image simulation, and calibration are carried out. Through a series of experiment result, compensation algorithm is added and real time error compensation is achieved. The experiment result shows that this vision sensor works effectively. It will provide more precise welding performance and convenience to the operator.

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Technology of Remote Bundle Welding for CANDU Fuels (중수로 연료용 원격다발 용접기술)

  • Kim, S.S.;Lee, J.W.;Park, G.I.;Koh, J.H.
    • Proceedings of the KWS Conference
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    • 2009.11a
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    • pp.33-33
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    • 2009
  • This study is to develop the resistance welding apparatus and investigate the welding characteristics of Zircaloy-4 end-plate of fuel bundle in the cases of the resistance welding and the laser beam welding. The welding parameters which affect the weld nugget and the torque values have been also compared. The effect of the torque strength of end-plate welding using by the resistance welding and the laser beam welding has been studied and optimum conditions of Zircaloy-4 end-plate welding have been found. Futhermore, micro-structures and micro-hardness of the resistance welded specimens have been also compared.

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Process Automation of Gas Metal Arc Welding Using Artificial Neural Network (인공신경회로망을 이용한 GMA 용접의 공정자동화)

  • 조만호;양상민;김옥현
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.10a
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    • pp.558-561
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    • 2002
  • A CCD camera with a laser strip was applied to realize the automation of welding Process in GMAW. It takes relatively long time to process image on-line control using the basic Hough transformation, but it has a tendency of robustness over the noise such spatter and arc light. The adaptive Hough transformation was used to extract the laser stripe and to obtain specific weld points In this study, a neural network based on the generalized delta rule algorithm was adapted for the process control of GMA, such as welding speed, arc voltage and wire feeding speed.

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Automatic Pipeline Welding System using Laser Vision Sensor (시각센서를 이용한 파이프라인 자동용접 시스템)

  • Mun, Hyeong-Sun;Kim, Hyeong-Sik;Kim, Jong-Cheol;Kim, Jong-Jun;Kim, Yong-Baek;Chu, Jeong-Bok;Choe, Seung-Myeon
    • Proceedings of the KWS Conference
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    • 2005.06a
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    • pp.324-325
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    • 2005
  • The primary aim of this paper is to develop an automated welding system capable of adapting to variation in the weld seam center in order to allow higher welding speeds and improved welding quality by using a laser vision sensor. The system is designed to compensate for production problems such as pipe ovality, variation in bevel geometry and track misalignment.

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Weldline Movement Characteristics for the Warm Deep Drawing of Tailor Welded Blanks (용접 판재의 온간 성형에서의 용접선 이동 특성)

  • Yoo J. S.;Heo Y. M.;Lee S. M.;Seo D. G.
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 2001.05a
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    • pp.151-155
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    • 2001
  • The purpose of this study is to investigate the weldline movement of the laser welded sheets during the warm deep drawing process. For this investigation, Five steps of temperature ranges, from room temperature to $200^{\circ}C$, and two kinds of thickness combination, 0.8 mm${\times}$1.2 mm and 0.8 mm${\times}$1.6 mm SCP1 material sheets, were adopted. Also, the numerical analysis using the PAM-STAMP has been carried out with the same models as the specimens. As a result the higher temperature was adopted, the less weld-line movement was observed.

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Evaluation of Buckling Distortion for the Thin Panel Welded Structure According to Welding Processes (박판 패널 용접부의 용접 기법에 따른 좌굴 변형에 관한 연구)

  • Shin, Sang-Beom;Lee, Dong-Ju;Lee, Joo-Sung
    • Journal of Welding and Joining
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    • v.26 no.3
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    • pp.23-29
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    • 2008
  • The purpose of this study is to propose the proper fillet welding process for preventing the buckling distortion in thin panel welded structure. In order to do it, a heat input model for laser hybrid welding process was developed using FEA and experiment. The principal factors controlling the angular distortion and longitudinal shrinkage force caused by FCA and laser hybrid welding were identified as the welding heat input and weld rigidity using FEA. The predictive equations of angular distortion and longitudinal shrinkage force for each welding process were formulated as a function of the principal factors proposed. With the predictive equations, the buckling distortion at the thin panel welded structure with welding process was evaluated and compared using nonlinear buckling analysis and STEM(simplified thermo elastic method). Based on the results, the best way to prevent the buckling distortion at the given welded panel structures was identified as an intermittent FCA welding.