• 제목/요약/키워드: bead

검색결과 1,718건 처리시간 0.024초

구조화된 직선빔을 이용한 구조파 전기 저항 용접파이프의 비드 형상 측정에 관한 연구 (A study on based shape monitoring in HERW pipe production by using structured light beam)

  • 고국원;김종형;조형석;공원일
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국내학술편); Seoul National University, Seoul; 20-22 Oct. 1993
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    • pp.672-678
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    • 1993
  • The bead shape in high frequency electric resistance (HER) pipe welding gives important information ons judging current welding state. In most manufacturing process, the heat input is controlled by skilled operators observing color and bead shape. We proposed the bead shape monitoring system in HERW pipe process by using structured light beam. We reconstructs 3-D shape of bead from the measured data, and compare this shape with real 3-D shape obtained by coordinate-measuring machine. This experiment results show that the proposed system can monitor the bead shape with good accuracy.

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A Neural Network- Based Classification Method for Inspection of Bead Shape in High Frequency Electric Resistance Weld

  • Ko, Kuk-Won;Hyungsuck Cho;Kim, Jong-Hyung
    • Transactions on Control, Automation and Systems Engineering
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    • 제2권3호
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    • pp.182-188
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    • 2000
  • High-frequency electric resistance welding (HERW) technique is one of the most productive manufacturing method currently available for pipe and tube production because of its high welding speed. In this process, a heat input is controlled by skilled operators observing color and shape of bead but such a manual control can not provide reliability and stability required for manufacturing pipes of high grade quality because of a variety of bead shapes and noisy environment. In this paper, in an effort to provide reliable quality inspection, we propose a neural network-based method for classification of bead shape. The proposed method utilizes the structure of Kohonen network and is designed to learn the skill of the expert operators and to provide a good solution to classify bead shapes according to their welding conditions. This proposed method is implemented on the real pipe manufacturing process, and a series of experiments are performed to show its effectiveness.

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자동차용 냉간압연재의 드로우비드 성형시 비드 재질별 마찰특성에 관한 연구 (Study on the Friction Characteristics of Various Bead Materials in Drawbead Forming of Cold Rolled Steels for Automotive Parts)

  • 이동활;김원태;문영훈
    • 한국소성가공학회:학술대회논문집
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    • 한국소성가공학회 2004년도 제5회 압연심포지엄 신 시장 개척을 위한 압연기술
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    • pp.91-97
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    • 2004
  • The drawbead is one of the most important factors in sheet metal forming for automotive parts. So clarifying the friction characteristics between sheets and drawbead is essential to improve the formability of sheet metal. Therefore in this study, drawbead friction test was performed at various bead materials(FC300, HC891, FCD550, HD700, HK600, HK700, SKD11) and surface treatment of beads(Base, induction hardening, Cr plating, ion nitriding, Toyoda diffusion process, TiCN, TiN, CrN). Circular shape bead has been used for the test. The results show that friction and drawing characteristics were mainly influenced by surface treatment.

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강소성 유한요소해석과 반응표면분석법을 이용한 박판성형공정에서의 드로우 비드력 최적설계 (Optimum Design of Draw-bead Force in Sheet Metal Stamping using Rigid-plastic FEM and Responses Surface Methodology)

  • 김세호;허훈
    • 한국소성가공학회:학술대회논문집
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    • 한국소성가공학회 1999년도 춘계학술대회논문집
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    • pp.143-148
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    • 1999
  • Design optimization is performed to calculated the draw-bead force for satisfying the design re-quirements. For an analysis tool a rigid-plastic finite element method with modified membrane element is adopted. response surface methodology is utilized for constructing the approximation surface for the optimum searching of draw bead force in sheet metal forming process. the algorithm developed is ap-plied to a design of the draw bead forces in a deep drawing process. The results show that the design of process parameters is applicable in complex metal forming analysis. It is also noted that the present algo-rithm enhances the stable optimum solution with small times of optimization iteration.

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로봇 $CO_2$ 아크용접 공정변수들이 비드형상에 미치는 영향에 관한 연구 (The Effects of Process Variables on Bead Geometry For Robotic $CO_2$ Arc Welding)

  • 김동규;박창언;김일수;정영재;손준식;박준식
    • 대한용접접합학회:학술대회논문집
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    • 대한용접접합학회 1997년도 특별강연 및 추계학술발표 개요집
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    • pp.205-209
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    • 1997
  • One of the major important tasks in the robotic $CO_2$ arc welding process is to understand how process variables affected bead geometry and to subsequently develop the mathematical models to predict the desired bead dimensions. Experiment results are compared to outputs obtained using a set of published formulae relating input variables to output parameters and also investigated process variables on bead geometry for robotic $CO_2$ arc welding process The university of results obtained using empirical equations taken from existing models provided to be limited in predicting experimental bead shapes.

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GMA 용접에 최적의 용접비드 형상을 예측하기 위한 수학적 모델 개발 (A DEVELOPMENT OF MATHEMATICAL MODELS FOR PREDICTION OF OPTIMAL WELD BEAD GEOMETRY FOR GMA WELDING)

  • 김일수
    • Journal of Welding and Joining
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    • 제15권3호
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    • pp.118-127
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    • 1997
  • With the trend towards welding automation and robotization, mathematical models for studying the influence of various variables on the weld bead geometry in gas metal arc (GMA) welding process are required. Partial penetration, single-pass bead-on-plate welds using the GMA welding process were fabricated in 12mm mild steel plates employed four different process variables. Experimental results has been designed to investigate the analytical and empirical formulae, and develop mathematical equations for understanding the relationship between process variables and weld bead geometry. The relationships can be usefully employed not only for open loop process control, but also for adaptive control provided that dynamic sensing of process output is performed.

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신경회로망을 이용한 비드폭 예측 (Prediction of the Bead Width Using an Artificial Neural Network)

  • 김일수;손준식;박창언;하용훈;성백섭
    • Journal of Welding and Joining
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    • 제18권4호
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    • pp.48-54
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    • 2000
  • Adaptive control in the robotic GMA(Gas Metal Arc) welding is employed to monitor information about weld characteristics and process parameters as well; as t modify those parameters to hold weld. The objectives of this paper are to realize the mapping characteristics of bead width through the neural network and multiple regression method as well as to select the most accurate model in order to control the weld quality(bead width0. The experimental results show that the proposed neural network estimator can predict bead width with reasonable accuracy, and guarantee the uniform weld quality.

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실험적 방법에 의한 Tire 변형 특성 연구 (Experimental study on the deformation property of pneumatic tires - strain gauge method)

  • 강수철;구본희
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2001년도 춘계학술대회논문집A
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    • pp.716-721
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    • 2001
  • The present study describes the experimental method to measure the strain of tire. In this study. the strain distributions of tire with air pressure and vertical load were measured at the bead filler edge region and on the carcass cord using strain gauges and the results were compared with indoor bead durability test results. The strain amplitude of carcass cord near the rim check line of tire is one of the main factors that affects bead durability characteristic.

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바이프리즘 스테레오 시각 센서를 이용한 GMA 용접 비드의 3차원 형상 측정 (Measurement of GMAW Bead Geometry Using Biprism Stereo Vision Sensor)

  • 이지혜;이두현;유중돈
    • Journal of Welding and Joining
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    • 제19권2호
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    • pp.200-207
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    • 2001
  • Three-diemnsional bead profile was measured using the biprism stereo vision sensor in GMAW, which consists of an optical filter, biprism and CCD camera. Since single CCD camera is used, this system has various advantages over the conventional stereo vision system using two cameras such as finding the corresponding points along the horizontal scanline. In this wort, the biprism stereo vision sensor was designed for the GMAW, and the linear calibration method was proposed to determine the prism and camera parameters. Image processing techniques were employed to find the corresponding point along the pool boundary. The ism-intensity contour corresponding to the pool boundary was found in the pixel order and the filter-based matching algorithm was used to refine the corresponding points in the subpixel order. Predicted bead dimensions were in broad agreements with the measured results under the conditions of spray mode and humping bead.

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저탄소 박판 강재의 Nd:YAG 레이저 용접부 형성에 미치는 공정변수의 영향 (Effect of Process Parameters on Bead Formation in Nd:YAG Laser Welding of Thin Steels)

  • 김기철;허재협
    • Journal of Welding and Joining
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    • 제19권3호
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    • pp.317-324
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    • 2001
  • This study deals with high power Nd:YAG laser welding of thin steels for small pressure vessels. Full penetration welding at the overlap joint was performed so as to assure sufficient weld strength. Results showed that mid-depth weld size reduced drastically with increasing the travel speed. Position of focus had little effect on the bead formation even though short focal system was used. However, the shape factor and the bead width had closely related with the position of focus. Based on the microstructural inspection, acceptable weld was obtained when the overlap clearance was controlled up to 20% of the base metal thickness. In the case that the joint contained more clearance than the critical value, both the tensile shear strength and the tear strength were reduced. Results also demonstrated that shielding gases were proved to play a key role as far as the bead formation characteristics was taken into consideration. Blowing dry air through 5mm in diameter nozzle produced narrower bead cross-section than that of argon or nitrogen shielding.

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