• Title/Summary/Keyword: welding defects

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Analysis of Microstructure and Mechanical Properties According to Heat Treatment Conditions in GMAW for Al 6061-T6 Alloy (Al 6061-T6 합금의 MIG 용접 후 열처리조건에 따른 미세조직 및 기계적 물성 분석)

  • Kim, Chan Kyu;Cho, Young Tae;Jung, Yoon Gyo;Kang, Shin Hyun
    • Journal of Welding and Joining
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    • v.34 no.4
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    • pp.34-39
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    • 2016
  • Recently, aluminum alloy has used various industry, such as automobile, shipbuilding and aircraft because of characteristics of low density and high corrosion resistance. Al 6061-T6 is heat treatment materials so it has high strength and mostly used for assembly by mechanical fastening such as a bolting and riveting. In GMA (Gas Metal Arc) welding of alloy, some defects which are hot cracking, porosity, low-mechanical properties and large heat affected zone is generated, because of high heat conductivity. It reduces mechanical properties. In this study, the major factor effected on properties are analyzed after welding in Al 6061-T6 in GMAW, then optimize heat treatment conditions. Plate of Al 6061-T6 with a thickness of 12 mm is welded in V groove and applied welding method is butt joint. Mechanical properties and microstructure are analyzed according to heat treatment condition. Tensile strength, microstructure and Hardness are evaluated. Result of research appears that Al 6061-T6 applied heat treatment show outstanding mechanical properties.

Evaluation on Temperature of FSW Zone of Magnesium Alloy using Experiment and FE Analysis (시험 및 유한요소법을 이용한 마그네슘 합금 마찰교반용접부 온도 특성 평가)

  • Sun, Seung-Ju;Kim, Jung-Seok;Lee, Woo-Geun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.7
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    • pp.434-441
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    • 2016
  • Friction Stir Welding (FSW) is a solid-state joining process involving the frictional heat between the materials and tools. The amount of heat conducted into the workpiece determines the quality of the welded zone. Excessive heat input is the cause of oxides and porosity defects, and insufficient heat input can cause problems, such as tunnel defects. Therefore, analyzing the temperature history and distribution at the center of the Friction Stir Welded zone is very important. In this study, the temperature distribution of the friction stir welding region of an AZ61 magnesium alloy was investigated. To achieve this goal, the temperature and metal flow was predicted using the finite element method. In FE analysis, the welding tool was simplified and the friction condition was optimized. Moreover, the temperature measuring test at the center of the welding region was performed to verify the FE results. In this study, the tool rotation speed was a more dominant factor than the welding speed. In addition, the predicted temperature at the center of the welding region showed good agreement with the measurement results within the error range of 5.4% - 7.7%.

The Weldability of Aluminum Ball in Electrolyte Injection Hole by Nd:YAG Laser (리튬이온전지의 전해액 주입구 볼에 대한 Nd:YAG 레이저 용접성)

  • Kim, Jong-Do;Yoo, Seung-Jo;Kim, Jang-Soo
    • Journal of Advanced Marine Engineering and Technology
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    • v.30 no.6
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    • pp.740-745
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    • 2006
  • This study suggested the occurrence source of weld-defects and its solution methods in a welding of Electrolyte injection hole by pulsed Nd:YAG laser. In experiment, the ramp down was used in order that solidification crack was removed. Furthermore. shrinkage stress and heat input were reduced by changing of weld trajectory and defocused distance. As a results of a experiment, a sound weld bead shape and crack-free weld bead can be obtained. In conclusion this show that the welding stability is greatly affected by modulation of laser pulse shape for the same laser energy and welding parameters.

Field Inspection of Phase-Array Ultrasonic for PolyEthylene Electrofusion Joints

  • Kil, Seong-Hee;Jo, Young-Do;Yoon, Kee-Bong
    • Journal of the Korean Institute of Gas
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    • v.16 no.1
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    • pp.22-25
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    • 2012
  • Welding and/or fusion in polyethylene(PE) system made on site is focused on the control of the welding or fusion process to follow proper procedure. The process control is important, but it is not sufficient for the long term reliability of a pipe system. To achieve the rate of failure close to zero, Non Destructive Testing(NDT) is necessary in addition to joining process control. For electrofusion joints several non-destructive testing methods are available. The ultrasonic phased array technique is possible to detect various defects including wire deviations and regions with lack of fusion. In this studies, testing was carried to detect the defect after electrofusion joining of polyethylene piping is utilized by the ultrasonic phased array technique. From testing data, ultrasonic phased array technique is recommended as a reliable non-destructive testing method.

Causes and preventions of $CO_2$ arc welding defects ($CO_2$ 용접 의 결함 원인 및 대책)

  • 정수원;이정대
    • Journal of Welding and Joining
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    • v.1 no.1
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    • pp.6-12
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    • 1983
  • 탄산가스 아아크 용접법은 다른 용접법에 비해 전자세 용접의 기능, 용접능률의 우수성, 생산적인 측면에서의 뛰어난 경제성으로 인해 중공업 분야에서 그 적용 추세가 증가일로에 있다. 당사( 현대중공업)에서는 1981년에 탄산가스 아아크 용접법이 현장 구조물 시공에 최초로 적용된 이래 꾸준히 증가하여 보편적으로 시용되는 용접법 중위 하나가 되었다. 탄산가스 아아크 용접법의 여러 가지 장점을 적극적으로 이용하기 위해서는 탄산가스 아아크 용접시 발생하는 결함의 원 인을 분석하여 결함을 최소화하는 대책이 강구되어야 한다. 탄산가스 아아크 용접시 발생하는 결함의 빈도를 조사하여, 빈도수가 많은 결함의 원인을 분석하고 그 방지대책을 세우는데 본고의 목적이 있다.

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A Study on Detecting and Monitoring of Weld Root Gap using Neural Networks (신경회로망을 이용한 용접 Root Gap 검출과 모니터링에 관한연구)

  • Kang Sung-In;Kim Gwan-Hyung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.7
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    • pp.1326-1331
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    • 2006
  • Weld root gap is a important fact of a falling-off weld quality in various kind of weld defect. The welding quality can be controlled by monitoring important parameters, such as, the Arc voltage, welding current and welding speed during the welding process. Welding systems use either a vision sensor or an Arc sensor, both of which are unable to control these parameters directly. Therefore, it is difficult to obtain necessary bead geometry without automatically controlling the welding parameters through the sensors. In this paper we propose a novel approach using neural networks for detecting and monitoring of weld root gap and bead shape. Through experiments we demonstrate that the proposed system can be used for real welding processes. The results demonstrate that the system can efficiently estimate the weld bead shape and detect the welding defects.

Development of low-temperature high-strength integral steel castings for offshore construction by casting process engineering

  • Lim, Sang-Sub;Mun, Jae-Chul;Kim, Tae-Won;Kang, Chung-Gil
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.6 no.4
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    • pp.922-934
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    • 2014
  • In casting steels for offshore construction, manufacturing integral casted structures to prevent fatigue cracks in the stress raisers is superior to using welded structures. Here, mold design and casting analysis were conducted for integral casting steel. The laminar flow of molten metal was analyzed and distributions of hot spots and porosities were studied. A prototype was subsequently produced, and air vents were designed to improve the surface defects caused by the release of gas. A radiographic test revealed no internal defects inside the casted steel. Evaluating the chemical and mechanical properties of specimens sampled from the product revealed that target values were quantitatively satisfied. To assess weldability in consideration of repair welding, the product was machined with grooves and welded, after which the mechanical properties of hardness as well as tensile, impact, and bending strengths were evaluated. No substantive differences were found in the mechanical properties before and after welding.

Ultrasonic Flaw Detection in Composite Materials Using SSP-MPSD Algorithm

  • Benammar, Abdessalem;Drai, Redouane
    • Journal of Electrical Engineering and Technology
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    • v.9 no.5
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    • pp.1753-1761
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    • 2014
  • Due to the inherent inhomogeneous and anisotropy nature of the composite materials, the detection of internal defects in these materials with non-destructive techniques is an important requirement both for quality checks during the production phase and in service inspection during maintenance operations. The estimation of the time-of-arrival (TOA) and/or time-of-flight (TOF) of the ultrasonic echoes is essential in ultrasonic non-destructive testing (NDT). In this paper, we used split-spectrum processing (SSP) combined with matching pursuit signal decomposition (MPSD) to develop a dedicated ultrasonic detection system. SSP algorithm is used for Signal-to-Noise Ratio (SNR) enhancement, and the MPSD algorithm is used to decompose backscattered signals into a linear expansion of chirplet echoes and estimate the chirplet parameters. Therefore, the combination of SSP and MPSD (SSP-MPSD) presents a powerful technique for ultrasonic NDT. The SSP algorithm is achieved by using Gaussian band pass filters. Then, MPSD algorithm uses the Maximum Likelihood Estimation. The good performance of the proposed method is experimentally verified using ultrasonic traces acquired from three specimens of carbon fibre reinforced polymer multi-layered composite materials (CFRP).

Butt Weldability for SS400 Using Laser-Arc Hybrid Welding (레이저-아크 하이브리드 용접을 이용한 SS400의 맞대기 용접 특성)

  • Kim, Jong Do;Myoung, Gi Hoon;Park, In Duck
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.40 no.7
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    • pp.667-672
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    • 2016
  • This study presents results of an experimental investigation of the laser-arc, hybrid, butt welding process of SS400 structural steel. Welding parameters including laser power, welding current and speed were varied in order to obtain one-pass, full-penetration welds without defects. The conditions that resulted in optimal beads were identified. After welding, hardness measurements and microstructure observations were carried out in order to study weld properties. The mechanical properties of both the base material and welded specimen were compared based on the results of tensile strength measurements. The yield and tensile strengths were found to be similar.

A Prediction of the Penetration Depth on CO2 Arc Welding of Steel Sheet Lap Joint with Fillet for Car Body using Multiple Regression Analysis Technique (자동차용 박강판 겹치기 이음부의 CO2 아크 용접에서 다중회귀분석기법을 이용한 용입깊이 예측에 대한 연구)

  • Lee, Kyung-Min;Sim, Hyun-Woo;Kwon, Jae-Hyung;Yoon, Buk-Dong;Jeong, Min-Ki;Park, Moon-Soo;Lee, Bo-Young
    • Journal of Welding and Joining
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    • v.30 no.2
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    • pp.59-64
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    • 2012
  • Welding is an essential process in the automotive industry. Most welding processes that are used for auto body are spot welding and $CO_2$ welding are used in a small part. In production field, $CO_2$ welding process is decreased and spot welding process is increased due to welding quality is poor and defects are occurred in $CO_2$ welding process frequently. But $CO_2$ welding process should be used at robot interference parts and closed parts where spot welding couldn't. Because of the 0.65mm ~ 2.0mm thickness steel sheet were used in the automotive industry, poor quality of welding area such as burn through and under fill were happened frequently in $CO_2$ process. In this paper, we will study about the penetration depth which gives a huge impact on burn through changing a degree of base metal, welding position and torch angle. Voltage, current and welding speed were fixed but degree of base metal, welding position and torch angle were changed. And Cold- Rolled(CR) steel sheet was used. Penetration depth was analysed by multiple regression analysis to derive approximate calculations. And reliability of approximate calculations were confirmed through additional experiments. As the results of this research, we confirmed the effect of torch and plate angle to bead shape. And we present a possibility that can simulate more accurate to weld geometry, as deduced the verification equations that has tolerance of less than 21.69%.