• Title/Summary/Keyword: Hybrid welding

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Effects of Welding Conditions and Material Arrangement on Tensile Properties of Friction Stir Lap Welded of Dissimilar Al Alloy, A5J32/A5052 (A5J32/A5052 이종 알루미늄 합금 겹치기 마찰교반접합부의 인장성질에 미치는 재료배열 및 접합조건의 영향)

  • Yoon, Tae-Jin;Kang, Myung-Chang;Kang, Chung-Yun
    • Journal of Powder Materials
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    • v.20 no.4
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    • pp.302-307
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    • 2013
  • A5J32-T4 and A5052-H32 dissimilar aluminum alloy plates with thickness of 1.6 and 1.5 mm were welded by friction stir lap welding (FSLW). The FSLW were studied using different probe length tool and various welding conditions which is rotation speed of 1000, 1500 rpm and welding speed of 100 to 600 mm/min and material arrangement, respectively. The effects of plunge depth of tool and welding conditions on tensile properties and weld nugget formation. The results showed that three type nugget shapes such as hooking, void, sound have been observed with revolutionary pitch. This plunge depth and material arrangement were found to effect on the void and hooking formation, which in turn significantly influenced the mechanical properties. The maximum joint efficiency of the FSLWed plates was about 90% compared to base metal, A5052-H32 when the A5052-H32 was positioned upper plate and plunge depth was positioned at near interface between upper and lower plates.

Fundamental Study on The Heat Input Model of Hybrid Welding for The Finite Element Analysis (유한요소해석을 위한 하이브리드용접 입열모델 선정에 관한 기초적 연구)

  • 방한서;김영표
    • Proceedings of the KWS Conference
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    • 2003.11a
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    • pp.36-38
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    • 2003
  • In order to understand the basic knowledge on the model of heat source in hybrid welding, authors have conducted finite element analysis to calculate heat distribution using three heat source models of non-split type and split type(Volume, Volume-Volume, Volume-Surface). From the research result, we can confirm that Volume-Volume heat source of split type is suitable for the analysis of heat distribution.

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A Study on Laser Welding Application of the Cowl Cross Member for Ultra-High Strength Steel (초고장력 강판을 적용한 Cowl Cross Member의 레이저 용접 적용에 관한 연구)

  • Park, Dong Hwan;Yun, Jae Jung;Kim, Kun Young
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.23 no.5
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    • pp.525-531
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    • 2014
  • A cowl cross is a part of the car's instrument panel used to maintain the rigidity of the vehicle body side. The application of laser welding has the benefits of speed and thermal deformation compared to arc welding. An ultra-high strength steel sheet is used to reduce the weight of the vehicle body parts. Generally, formability of such a steel sheet is poor because its elongation is very low. For this reason, a method for cold forming of an ultra-high strength steel sheet is required. This paper describes how to improve the formability and weldability of the ultra-high strength steel sheet. Mechanical tests of this material were also performed to evaluate the welding properties of $CO_2$ (GMAW) and those of laser welding.

Prediction of Tensile Strength for Plasma-MIG Hybrid Welding Using Statistical Regression Model and Neural Network Algorithm (통계적 회귀 모형과 인공 신경망을 이용한 Plasma-MIG 하이브리드 용접의 인장강도 예측)

  • Jung, Jin Soo;Lee, Hee Keun;Park, Young Whan
    • Journal of Welding and Joining
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    • v.34 no.2
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    • pp.67-72
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    • 2016
  • Aluminum alloy is one of light weight material and it is used to make LNG tank and ship. However, in order to weld aluminum alloy high density heat source is needed. In this paper, I-butt welding of Al 5083 with 6mm thickness using Plasma-MIG welding was carried out. The experiment was performed to investigate the influence of plasma-MIG welding parameters such as plasma current, wire feeding rate, MIG-welding voltage and welding speed on the tensile strength of weld. In addition we suggested 3 strength estimation models which are second order polynomial regression model, multiple nonlinear regression model and neural network model. The estimation performance of 3 models was evaluated in terms of average error rate (AER) and their values were 0.125, 0.238, and 0.021 respectively. Neural network model which has training concept and reflects non -linearity was best estimation performance.

Porosity Reduction during Gas Tungsten Arc-Gas Metal Arc Hybrid Welding of Zinc Coated Steel Sheets (I) - Effect of Preceding Gas Tungsten Arc (GTA-GMA 하이브리드공정에 따른 자동차용 아연도금강판의 용접부 기공감소 (I) - 선행 GTA의 영향)

  • Kang, Minjung;Ahn, Young-Nam;Kim, Cheolhee
    • Journal of Welding and Joining
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    • v.34 no.4
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    • pp.40-47
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    • 2016
  • The Zn coating on automotive galvanized steel sheets can improve corrosion resistance. However, the boiling temperature of Zn is lower than the melting temperature of steel and it causes well-known spatter and porosity problem. One of most prominent solutions is a pretreatment of Zn coating by an additional welding arc prior to the main welding process. In this research, GTA and GMA are selected as heat sources for pretreatment and main welding processes, respectively. The authors suggested three possible mechanisms to reduce weld defects by the GTA pretreatment: (1) Formation of gap between the sheets; (2) Evaporation of Zn layer; (3) Oxidation of Zn layer. Among them, Zn Oxidation is the most important mechanism to reduce weld defects in the GTA-GMA hybrid process.

Performance Improvement of TIG Welders Using Intelligent Control Algorithm (지능제어 알고리즘을 이용한 펄스 인버터 TIG 용접기의 성능 향상)

  • 김규식
    • Proceedings of the KIPE Conference
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    • 2000.07a
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    • pp.556-559
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    • 2000
  • Pulse inverter-type TIG(Tungsten Inert Gas) arc welders are studied to investigate the dynamic performance of welding. Welding currents are controlled to be pulse waveforms resulting in stable are better welding performance. The hybrid-type controller is proposed to control the welding current. Todemonstrate the practical significance of our results we present some simulation results.

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