• 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.

• Proceedings of the KIEE Conference
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• 2005.10a
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• pp.197-201
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• 2005

In this paper, an automatic welding carriage is developed by wireless communication. In the developed system, a data transmission of a automatic welding line tracking is adopted by RF communication. Additional, a welding condition of the automatic welding carriage IS displayed by microprocessor. Therefore, the developed system can overcome the restriction of an operating distance and perform an accurate transmission of the control signal.

• Proceedings of the KWS Conference
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• 2008.05a
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• pp.17-17
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• 2008

• The Journal of the Korea institute of electronic communication sciences
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• v.6 no.4
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• pp.517-522
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• 2011

Conventional projection welding systems suffer from lots of defective products caused by manual handling. In this paper, we introduce a projection welding system that performs automatic identification, welding and counting of components and products. The proposed system checks the existence and identifies placement of components to be welded by a vision camera. After welding of the components, it automatically updates product counts and dressing items. We show that the proposed welding system can reduce the defect rate and improve the productivity through experimental test with a existing system.

• Journal of Welding and Joining
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• v.14 no.5
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• pp.29-39
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• 1996

• Journal of Welding and Joining
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• v.21 no.5
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• pp.568-574
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• 2003

In the welding for the steel structure of H-beam with mild steel and 490N/$\textrm{mm}^2$ high tensile steel, we applied the fillet weld mostly and 6-8mm weld length(AISC-spec.). And a new developed metal-cored-wire is used in automatic welding as well as semi-automatic welding. In this study we have attempted to raise the welding productivity and to stabilize the quality on horizontal positions of fillet welding with the following items: - We improved the weld productivity using metal based cored wire with a high deposition rate in the steel structure of H-beam. - We tested the weldability and evaluated the quality of the weldmetal by horizontal fillet $CO_2$ welding. The process is carried out in combination with a special purpose metal-based FCW with excellent resistance to porosity and high welding speed. - We studied the micro structure of the weldmetal by the various welding conditions. - We studied the effect of welding residual stress by the welding conditions in T-joint. Therefore, it can be assured that more productive and superior quality of the weldmetal can be taken from this study results.

• Journal of Energy Engineering
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• v.24 no.3
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• pp.6-12
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• 2015

The welding technology has been used in almost all industries such as automotive, shipbuilding, power plants and industrial machinery. In this study, the design and implementation of PLC $CO_2$ welding automation system were investigated. For these purposes, the structure analysis for driving supporter was performed and specification of automatic voltage regulator, mutual interface of system and circuit diagram were designed in order to contrive power-saving system. As the results, the stability of design for driving supporter could be convinced by numerical analysis and PLC automatic welding system was suitable for welding automation of structural-manufacturing factory capable of producing various and small amount products. Therefore, it was confirmed that PLC $CO_2$ welding automation system could contribute to productivity, stable quality and power-saving.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.4
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• pp.1460-1465
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• 2012

The semi-automatic gas metal arc welding equipment was developed and the weldability of zinc coated steel pipes was evaluated in terms of strength, porosity and welding parameters including shielding gas composition. The good bead appearance and the reduction of porosity in the welds could be possibly obtained by adding $O_2$ to Ar. The strength and joint efficiency of welds made by the semi-automatic welding equipment was about 1.8 times higher compared with welds manually made. The integrity of welds was confirmed by the water pressure test as well, Finally, it is expected that the weld productivity will be enhanced even unskilled welders can produce quality welds by operating the semi-automatic welding equipment.

• 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.

• Journal of the Korean Society for Precision Engineering
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• v.18 no.6
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• pp.148-158
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• 2001

In this paper, Automatic Dynamic Balancer(ADB) was simulated and investigated to use at the high speed rotating chuck for the friction welding. In the limited computer simulations and experiments that have been presently carried out, several conclusions have been found. Above critical speed of the rotating system, ADB can balance the rotating disk. Therefore, it can be predicted that ADB can make an uniform flash during the friction welding.