• Title/Summary/Keyword: MIG Welding

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Study on the Welding Mode Transition Phenomena in Monitoring Plasma-MIG Hybrid Welding (Plasma-MIG 하이브리드 용접에서 용적 이행모드 현상 모니터링에 대한 연구)

  • Lee, Jong Jung;Park, Young Whan
    • Journal of Welding and Joining
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    • v.35 no.3
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    • pp.75-81
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    • 2017
  • Recently in the welding field, the establishment of unmanned and automated systems are rapidly developing. Accurate interpretation of the welding phenomenon is applied a number of monitoring systems. In this paper, butt welding (6t) type I using Plasma-MIG welding was carried out. And we evaluated characteristics of the Al-5083 aluminium alloy in Plasma-MIG hybrid welding. Process variables including the plasma current, MIG voltage, wire feeding rate and the welding speed were used. Butt welding was conducted 1 pass. Argon gas was used as the protective gas that results from the experiment were able to achieve full penetration. In addition to monitoring the welding process occurring during MIG welding current, welding votage and Plasma current, voltage were collected in real time, the photodiode and CCD cameras observing the phenomenon that the welding is in progress were measured using a quantity of light.

Metal Transfer Characteristics of Aluminium under Pulsed Current Metal Inert Gas Welding (알루미늄의 펄스 전류 미그 용접)

  • 최재호;최병도;김용석
    • Journal of Welding and Joining
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    • v.20 no.5
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    • pp.127-133
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    • 2002
  • In this study, metal transfer characteristics in pulsed current metal inert gas (MIG) welding of aluminum was investigated. Based on the metal transfer characteristics from direct current electrode negative MIG welding, the one drop per one pulse(ODOP) condition was predicted and compared with experimental data. The results indicated that experimental pulse range for the ODOP condition is wider than that predicted from the DCEP MIG welding data. In addition, more stable metal trnasfer behavior was obtained at the higher end of the ODOP condition.

Design and Output Characteristic of AC Pulse Current for MIG Welding of Ai Sheet (박판 Al MIG 용접용 AC펄스 전류 파형의 설계 및 출력특성)

  • 조상명;김태진;이창주;임성룡;공현상;김기정
    • Journal of Welding and Joining
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    • v.21 no.2
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    • pp.57-63
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    • 2003
  • Since new types of vehicles or structures made from thin aluminum alloy are under rapid development and some products are already on the market, welding of aluminium sheet is increasing. MIG(Metal Inert Gas), MIG-Pulse, TIG(Tungsten Inert Gas) welding are the typical Ai welding. MIG welding has the advantage of high speed, but it is difficult to apply to the thin plate, because of bum-through by the high heat input and spatter. MIG-Pulse welding can weld without spatter and burn-through, but when the gap exists at the welding joint, there is quite a possibility of bum-through. TIG welding is difficult to weld at a high speed. AC Pulse welding alternates between DCEP(Direct Current Electrode Positive) and DCEN(Direct Current Electrode Negative). DCEN is higher wire melting rate than DCEP, while lower temperature of droplet than DCEP. In AC Pulse welding, far fixed welding current, wire melting rate increases as the EN ratio increases. For fixed wire feed rate, welding current decreases as the EN ratio increases. Because of these features, the temperature of droplet, the depth of penetration, the width of bead decrease and the reinforcement height increases as EN ratio increases, and these are able to weld at a high speed, lower heat input. It is the purpose of this study that design of AC pulse current waveform for MIG welding of Al sheet and estimation of output characteristic.

Mechanical Properties of Metal Inert Gas Welding Conditions of Railway-Vehicle Aluminum Under Frame (철도차량 AI 하부구조의 MIG 용접 조건에 따른 기계적 특성에 관한 연구)

  • Jung, Sang-Ho;Kim, Hae-Ji
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.20 no.6
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    • pp.17-25
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    • 2021
  • In this study, the mechanical properties of railway-vehicle aluminum under frame was investigated based on the metal inert gas (MIG) welding conditions. An aluminum-alloy (6005A-T6) extruded material used in the lower panel of a railway vehicle was connected through MIG welding to determine the mechanical properties of MIG welds. Argon shielding gas and filler materials, such as ER5356 and ER4043, were used as consumable welding materials. For the welding conditions of the test specimen, welding frequencies of 2.5 and 4.5 Hz were applied using the SynchroPuls function, and the root faces were 1.0 and 1.5 mm. The mechanical properties of the MIG welds were determined through tensile, bending, and fatigue tests.

The Waveform Control and Blowhole Generation in the Wave Pulse MIG Welding for Galvanized Steel Sheets (아연도금강판에 대한 중첩펄스 MIG 용접에서의 파형제어와 기공 발생 특성)

  • Cho Sang-Myung;Kim Ki-Jung;Lee Byung-Woo
    • Journal of Welding and Joining
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    • v.23 no.1
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    • pp.69-76
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    • 2005
  • Recently, application of arc welding to galvanized carbon steel sheet is on the increasing Ould in the fields of automobile and construction industries. In arc welding process, zinc is evaporated in weld pool, even under the appropriate welding condition and produce blowhole and/or pit. Zinc gas cause instability of arc and increase spatter and fume. This research is purposed to minimize the heat-input and the formation of porosities in the welded joint of the galvanized carbon steel sheet using variable polarity AC wave pulse MIG welding system. An appropriate welding condition which showed low spatter and good bead appearance was acquired by applying the AC pulse MIG welding machine to DC duplicated MIG welding with the solid wire. When oxygen gas was added to shield gas of MIG welding for galvanized steel sheet, arc length was increased and arc stability was improved. In the AC duplicated welding, the loss of galvanized layer was decreased as the amount of heat-input was decreased when the EN ratio was increased under the condition that average welding current was evenly set.

Improvement of Welding Performance of MIG Arc Welding using Superposition Ac Pulse (MIG 아크용접에서의 교류중첩펄스를 이용한 용접성능향상)

  • Kim, Tae-Jin
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.22 no.10
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    • pp.141-149
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    • 2008
  • Because aluminum has a lighter weight and higher strength than iron, it is frequently used in the transportation industry for the purpose of reducing the weight of a chassis, and thereby increasing fuel efficiency. However, there are some difficulties with arc welding aluminum due to its lower melting point, high thermal conductivity and oxidation coating on its surface. This study proposed using superposition ac pulse MIG arc welding, which has been improved from the pulse waveform of conventional MIG welding. A MIG arc welding power source was developed to test the effectiveness of this method.

Comparison of steels via SMAW and MIG welding methods under industrial loads

  • Soy, Ugur
    • Steel and Composite Structures
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    • v.11 no.3
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    • pp.225-232
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    • 2011
  • In this study, the deflection and deformation behaviours of IPN80 steel beam and column were investigated under the different industrial loads. Single-sided welds were applied to IPN80 steel beams using shielded metal arc (SMAW) and metal inert gas welding (MIG) method in the form of T-type. After that, the performance of SMAW and MIG welded joints were identified using beam bending test under 500 and 3000 N loads. SMAW and MIG methods were compared with each other to understand the deflection and deformation behaviours of the welded steel structures. Lower deformation and deflection were obtained in MIG welded steel beams. The results show that, steel beams welded MIG method has higher load capacity than SMAW welded ones. MIG welding method is more reliable than the SMAW method for the combining performance and load capacity.

Application of Plackett-Burman model in welding experiments : effects of welding parameters on bead shape in Cu-Ni PULSE MIG process (PLACKETT-BURMAN MODEL을 이용한 Cu-Ni합금의 PULSE MIG 용접 변수해석)

  • 문영훈;이기학;허성도
    • Journal of Welding and Joining
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    • v.5 no.4
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    • pp.47-53
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    • 1987
  • The purpose of this study is to reexamine our test method in the light ofstatistical methods for data interpretation. Our trial to apply Plackett-Burman statistical model in multifactorial welding experiments shows that is saves much time and cost and extracts very accurate results. In this study, the parametric effects of bead shape on pulse MIG process in Cu-Ni alloy are investigated for verifying our trial.

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Evaluation of Mechanical Characteristic of Al Alloy for Ship's Welded with Various Welding Techniques (다양한 용접기술을 적용한 선박용 알루미늄합금의 기계적 특성 평가)

  • Kim, Seong-Jong;Jang, Seok-Ki;Han, Min-Su
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.13 no.3
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    • pp.223-228
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    • 2007
  • This paper investigated on mechanical characteristic of Al alloy for ship's welded with various welding techniques such as TIG, MIG welding and welding by robot. The yield strength, tensile strength and elongation in TIG welding present 83.9%, 64.6% and 21.9% compare to those in base metal, respectively. The MIG welding is carried out with welding eletrode of ER5183 and ER5356. The mechanical characteristics in ER5356 are improved at approximately 2-4% for ER5183. The mechanical properties of 5083O in welding by robot are better than those of 5456-H116.

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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.