• Journal of the Korean Professional Engineers Association
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• v.33 no.6
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• pp.57-60
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• 2000

• Proceedings of the Korean Society of Laser Processing Conference
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• 2000.06a
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• pp.15-19
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• 2000

• Journal of Korea Society of Industrial Information Systems
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• v.19 no.6
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• pp.25-31
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• 2014

Gas metal arc welding (GMAW) is currently the most widely used arc welding processes in the industry because of its high metal deposition rate, flexibility and low cost. It is attractive for high-productivity manufacturing applications and is well suited to automatic or robotic welding. Welding voltage and current have a significant impact on the weld bead. However, welding voltage and current are changed variously according to welding condition and user environment, and prediction is impossible. To determine the welding conditions, the welding current and voltage are applied to the appropriate data analysis techniques. In this paper, we used the moving average filter to the welding voltage and current data, and normal and abnormal welding waves were distinguished.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.3
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• pp.605-610
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• 2008

Through welding fabrication, user can feel unsatisfaction of surface quality because of welded defects, Generally speaking, these are called weld defects. For checking these defects effectively without time loss effectively, weldability estimation system setup is an urgent thing for detecting whole specimen quality. In this study, by laser vision camera, catching a rawdata on welded specimen profiles, treating vision processing with these data, qualitative defects are estimated from getting these information at first. At the same time, for detecting quantitative defects, whole specimen weldability estimation is pursued by multifeature pattern recognition, which is a kind of fuzzy pattern recognition. For user friendly, by weldability estimation results are shown each profiles, final reports and visual graphics method, user can easily determined weldability. By applying these system to welding fabrication, these technologies are contribution to on-line weldability estimation.

• Nuclear Engineering and Technology
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• v.23 no.1
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• pp.1-11
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• 1991

The objective of this study is to investigate the effect of weld line on the mechanical strengths and the process of weld line elimination in the Zircaloy-4 resistance upset welding for the fabrication of heavy water reactor fuel rods. The weld current and the amount of upset increased linearly with the main heat, in which two relations between them were derived. It was found that the threshold to obtain sound weld was 50% of main heat in terms of weld upset size, mechanical strengths and weld line elimination. The weld microstructure of resistance upset welds of Zircaloy-4 comprsied basketweave, Widmanstatten and martensite respectively by changing the main heats. Dimples on uniaxially fractured surface at weld line in the Zr-4 welds were larger and deeper compared with those on biaxially fractured surface. It was also found that the process of the weld line elimination in the resistance upset weld of Zircaloy-4 could be divided into three stages in terms of the presence of many pores, their shrinkage and elimination, and the shrinkage of the original weld interface with increasing weld currents.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.36 no.9
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• pp.1081-1086
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• 2012

This study deals with hardness evaluation for spot welding by using an instrumented indentation technique to improve the quality of the inspection methodology. First, an instrumented indentation test and a Rockwell hardness test were performed for normal and abnormal spot welding. The hardness to indentation force-displacement curve obtained using each of the tests was compared. Furthermore, an analysis was conducted using the hardness obtained by the instrumented indentation technique. A quality control standard based on reliability was this evaluated for spot welding.

• Journal of the Society of Naval Architects of Korea
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• v.35 no.4
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• pp.65-75
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• 1998

The $CO_2$ welding with 100% $CO_2$ gas is commonly used because of its cost and efficiency. Arc phenomena and spattering ratio of the $CO_2$ welding are influenced by various factors such as chemical compositions of welding wire, shielding gas, welding condition and welding power source etc.. Spattering ratio is predominantly influenced by the welding condition which determines a droplet transfer rode. In this study, arc phenomena and spattering ratio are investigated by using two type of FCW(titania type, semi-metal type). Then, the welding quality and optimum welding condition can be selected. From this study, the following results ware obtained; 1) In low current range(140A), FCW up to welding voltage(22V) resulted in a typical short circuit transfer, increase of spattering ratio and growth of spatter diameter. 2) In high current range(320A), the arc stability in titania FCW of a typical globular transfer is better than that of semi-metal FCW.

• Proceedings of the KWS Conference
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• 2009.11a
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• pp.65-65
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• 2009

철강 재료의 GMA 용접 시, 보호가스로 $CO_2$ 가스를 사용하면 가격이 저렴하고 용입이 깊다는 장점이 있어 국내에서 광범위하게 사용되어 왔다. 그러나 일반적으로 활성가스인 $CO_2$를 사용한 GMA용접은 아크가 불안정하고 스패터가 많이 발생한다는 단점이 있어 아크 안정성 개선의 필요성이 부각되었다. 거기다 용접 자동화 및 용접 품질의 고급화 추세로 아크 안정성이 $CO_2$용접에서 점점 중요해지면서, 아크 안정화 및 스패터 저감을 위한 연구가 활발히 진행되어 왔다. 본 연구에서는 GMA 용접 재료인 solid wire의 표면에 이온화 에너지가 낮은 금속인 인듐(In)을 전해 도금하여 중전류의 $CO_2$ 용접에 적용하였다. 고속 촬영과 아크 모니터링 분석을 통하여 금속 이행 모드 및 아크 안정화에 미치는 영향에 관하여 연구하였다. 동일 전압, 전류 조건에서 도금 두께를 달리하여 용접을 실시, 도금 두께에 따른 아크 안정성의 경향을 분석하였다. 그 결과 도금 두께가 두꺼워짐에 따라 아크가 넓어지는 것을 확인하였으며, 이는 아크 내에 이온화도가 높은 인듐 이온이 다량 포함됨으로써 이온의 양이 증가하기 때문인 것으로 생각된다. 또한 도금 두께가 일정 이상이 되면, 이행 모드가 용적의 아래에서 아크가 발생하는 반발 이행 모드에서 용적의 윗부분에서 아크가 발생하는 입상 용적 이행 모드로 바뀌었으며, 이때 단락 수가 현저히 줄어들어 아크가 안정해졌다. 이에 따라 인듐 도금 와이어는 기존보다 낮은 전류 영역에서도 안정적인 아크와 금속 이행 모드를 가지게 됨을 확인하였다.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.06a
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• pp.950-955
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• 2005

This paper describes an intelligent filler wire feeding device which can control 3- dimensional seam tracking and the filler wire speed by measuring the gap position and the joint gap width in laser welding. By means of visual sensor controlled filling the missing material into the joint gap and 3 dimensional seam tracking, lineup errors from manufacturing tolerances and the repeatability of lineup jigs and weld robot can be balanced and at an even seam quality which avoids weld defects. In this paper, we assessed weld quality in 2mm sheets of A16061 which had various gap width by using the intelligent filler wire feeding device.

• Proceedings of the KWS Conference
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• 1999.10a
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• pp.142-145
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• 1999

The dynamic resistance monitoring is one of the important issues in that in-process and real time quality assurance of resistance spot weld is needed to increase the product reliability. Secondary dynamic resistance patterns, as a real manner, are hard to adapt those factors in real time and in-plant system. In the present study, a new dynamic resistance detecting method is presented as a practical manner of weld quality assurance at the primary circuit. By the correlation analysis, it is found that the primary dynamic resistance patterns are basically similar to those of the secondary. Various dynamic resistance indices are characterized with the primary curve. And quality of the weld, like the tensile shear strength, is estimated using adaptive neuro-fuzzy estimation system which is consisted of the Sugeno fuzzy algorithm. Through the fuzzy clustering and parameter optimization, real time weld quality assurance system with less efforts is proposed.