Effects of Welding Speed on Microstructure and Mechanical Property of Fiber Laser Welded Dissimilar Butt Joints between AISI316L and EH36

Cao, Longchao; Shao, Xinyu; Jiang, Ping; Zhou, Qi; Rong, Youmin; Song, Geng; Mi, Gaoyang

doi:10.3390/met7070270

Cited by 18 publications

(11 citation statements)

References 38 publications

(41 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Haitao Wang tested and simulated the crack growth paths in a dissimilar metal welded joint and found that the crack deflected to the soft area during the experiment [28,29]. Longchao Cao [30] and Pavel Podany [31] researched the microstructure and the local mechanical properties of the dissimilar butt joints. Jianbo Li [32] studied the fracture toughness near the fusion line (HAZ and fusion line) of the dissimilar material and, in addition, found the crack deflection.…”

Section: Amendment Of Haz Fracture Toughnessmentioning

confidence: 99%

Fracture Toughness Calculation Method Amendment of the Dissimilar Steel Welded Joint Based on 3D XFEM

Qian

Zhao

2019

Metals

View full text Add to dashboard Cite

The dissimilar steel welded joint is divided into three pieces, parent material–weldmetal–parent material, by the integrity identification of BS7910-2013. In reality, the undermatchedwelded joint geometry is dierent: parent material–heat aected zone (HAZ)–fusion line–weld metal.A combination of the CF62 (parent material) and E316L (welding rod) was the example undermatchedwelded joint, whose geometry was divided into four pieces to investigate the fracture toughness of thejoint by experiments and the extended finite element method (XFEM) calculation. The experimentalresults were used to change the fracture toughness of the undermatched welded joint, and the XFEMresults were used to amend the fracture toughness calculation method with a new definition of thecrack length. The research results show that the amendment of the undermatched welded jointgeometry expresses more accuracy of the fracture toughness of the joint. The XFEM models wereverified as valid by the experiment. The amendment of the fracture toughness calculation methodexpresses a better fit by the new definition of the crack length, in accordance with the crack routesimulated by the XFEM. The results after the amendment coincide with the reality in engineering.

show abstract

Section: Amendment Of Haz Fracture Toughnessmentioning

confidence: 99%

Fracture Toughness Calculation Method Amendment of the Dissimilar Steel Welded Joint Based on 3D XFEM

Qian

Zhao

2019

Metals

View full text Add to dashboard Cite

show abstract

“…When the laser focal position is too large, the power density on the workpiece surface is too low to melt required levels of material. According to engineering experience and our previous researches [2,[20][21][22], the WPP are selected as follows:…”

Section: Problem Definitionmentioning

confidence: 99%

“…As intelligent manufacturing develops, accurate predicting of weld bead is becoming crucial to accomplishing industrial automation [1,2]. Therefore, it is necessary to establish the relationships between the laser keyhole welding process parameters (WPP) and weld bead geometry to predict the weld bead quality [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Accurate Prediction of the Weld Bead Characteristic in Laser Keyhole Welding Based on the Stochastic Kriging Model

Ruan

Zhou

Shu

et al. 2018

Metals

Self Cite

View full text Add to dashboard Cite

Abstract:As an important index of weld quality, the weld bead geometry is closely related to the welding process parameters (WPP). Therefore, it is crucial to establish the relationships between the WPP and weld bead shape to serve as an indicator of the weld quality. However, it is difficult to predict the weld bead shape accurately due to uncertainty. In this paper, laser keyhole welding (LKW) experiments are conducted on 2205 stainless steel at sample points generated by the optimal Latin hypercube sampling (OLHS). Then the relationships between WPP and weld width (WW) are constructed using stochastic kriging model (SKM), considering the randomness of the welding process. To verify the effectiveness of the SKM, two validation approaches, the additional experiments validation and k-fold cross-validation, are used to compare the prediction performance of SKM and the traditional kriging model. SKM is superior to the kriging model at the whole five additional test points with smaller relative error. As to k-fold cross-validation, SKM provides a smaller root mean square error at four in five groups of the data. In addition, SKM can provide the variations of the entire weld bead shape. Overall, the SKM is very prominent in predicting the weld bead shape, considering fluctuations of WPP.

show abstract

“…Kumar et al [8] used pulsed laser welding of stainless-steel heterogeneous joints; they found that inputting a low energy pulse facilitated the production of fine grains and good mechanical properties. Cao et al [9] used laser welding of 316 L and EH36 heterogeneous joints; they found reducing the welding speed was effective in reducing the degree of tissue segregation in the joints. The laser-arc hybrid welding process couples the two heat sources with each other, fully integrating the advantages of laser and arc welding.…”

Section: Introductionmentioning

confidence: 99%

Effect of Weld Pool Flow and Keyhole Formation on Weld Penetration in Laser-MIG Hybrid Welding within a Sensitive Laser Power Range

Jing

Hou

et al. 2022

Applied Sciences

View full text Add to dashboard Cite

The weld penetration variation in laser-MIG hybrid welding under sensitive laser power range was investigated by welding experiments and CFD (computational fluid dynamics) simulation. During this investigation, joints of AH36 sheets were welded with varying laser powers by the laser-MIG hybrid welding process. In addition, the CFD model was established based on experimental parameters and measurement results. Moreover, surface tension, electromagnetic force, buoyancy, recoil pressure, evaporative condensation, evaporative heat exchange, melt drop transfer, and other factors were considered. The influence of various factors on molten pool depth and keyhole depth were studied, including temperature, velocity, and flow direction of liquid metal. The results show that the weld-forming effect is better at the laser power is 7.5 kW in the range of sensitive laser power. After the keyhole is formed, its depth gradually entered the stage of linear increase, oscillation increase, and oscillation balance. Increasing the laser power can effectively shorten the time of the two growth stages and allow the keyhole to enter the balance stage earlier. During the oscillation balance state of the keyhole, the molten metal under the keyhole flowed to the molten pool root in the reverse direction of welding; it can also promote weld penetration.

show abstract

Effects of Welding Speed on Microstructure and Mechanical Property of Fiber Laser Welded Dissimilar Butt Joints between AISI316L and EH36

Cited by 18 publications

References 38 publications

Fracture Toughness Calculation Method Amendment of the Dissimilar Steel Welded Joint Based on 3D XFEM

Fracture Toughness Calculation Method Amendment of the Dissimilar Steel Welded Joint Based on 3D XFEM

Accurate Prediction of the Weld Bead Characteristic in Laser Keyhole Welding Based on the Stochastic Kriging Model

Effect of Weld Pool Flow and Keyhole Formation on Weld Penetration in Laser-MIG Hybrid Welding within a Sensitive Laser Power Range

Contact Info

Product

Resources

About