Real-time spatter detection in laser welding with beam oscillation

Haubold, Martin; Zäh, Michael F.

doi:10.1016/j.procir.2019.02.037

Cited by 12 publications

(1 citation statement)

References 16 publications

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“…However, a high-power galvanometer scanner was developed and widely used for laser beam oscillation due to its high frequency and high flexibility. Currently, laser welding with beam oscillation is applied widely in remote laser welding for its good weldability [19][20][21][22]. The primary cause of good weldability with an oscillating beam is the dilution degree of the melt pool.…”

Section: Introductionmentioning

confidence: 99%

Microstructure and Mechanical Properties of Fiber Laser Welding of Aluminum Alloy with Beam Oscillation

et al. 2019

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Laser welding with beam oscillation is applied to join aluminum alloy plates in butt configuration. The effects of beam oscillating patterns on the quality of welds are compared and analyzed. The results indicate that beam oscillation can improve the weld formation and microstructure of butt joints. The circular oscillating weld has the features of fine grain and uniformly dispersed dendrites in the strengthening phase, and the porosity inhibitory effect of circular oscillation is the most obvious. In addition, beam oscillation has few effects on the tensile strength of welds, but exerts an influence on the elongation of welds.

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Section: Introductionmentioning

confidence: 99%

Microstructure and Mechanical Properties of Fiber Laser Welding of Aluminum Alloy with Beam Oscillation

et al. 2019

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Green High‐Power Disk Lasers and Industrial Applications

Tomcic

Rettich²,

Zäh³

2020

PhotonicsViews

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In the publicly‐funded ProLasKu project, the laser manufacturer Trumpf has developed a high‐power laser with a wavelength of 515 nm. Substantial progress in the industrial applications of green lasers has been achieved in a cooperation between the Technical University of Munich and the companies Siemens and Continental. In addition, a camera‐based system for process monitoring and quality assurance in real‐time based on image processing methods has been developed.

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