Abstract

Laser beam welding can be a high productivity joining process, offering significant benefits over conventional welding methods. However, the need for real-time monitoring of laser welding processes is important to provide information on the possible presence of imperfections formed during welding and guarantee quality assurance in production. Laser process monitoring methods are based on the recording of physical phenomena occurring during the laser-material interaction. This paper has investigated an established optical-based monitoring method, using photodiodes responsive to either visible or near-infrared emissions, to correlate the photodiode signals with different types of weld features, imperfections and/or process anomalies. These have included occurrence of internal porosity, changes in penetration depth and beam to joint alignment, deliberate changes in laser power and intentionally poor joint preparation, cleanliness or fit-up. Also, a new type of commercially available process monitoring approach was investigated, based on laser interferometry, to measure keyhole depth. The results of both approaches have confirmed which types of weld features, imperfections and/or process anomalies are most sensitive to these monitoring techniques, with potential to then implement these findings in to a future multisensor solution for real-time process control.

Highlights

  • During laser welding, the material interacts with the laser beam and gives rise to a range of different processcharacteristic signals

  • This paper has investigated an established optical-based monitoring method, using photodiodes responsive to either visible or near-infrared emissions, to correlate the photodiode signals with different types of weld features, imperfections and/or process anomalies

  • Stake welding trials were performed on DC01 mild steel sheets, 1.2 mm thickness, to assess the signals detected by the in-process depth meter (IDM) sensor

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Summary

Introduction

The material interacts with the laser beam and gives rise to a range of different processcharacteristic signals. These can include airborne and structureborne acoustic emissions, back-reflection of the laser beam itself from the interaction zone, and process emissions emitted by the metal vapor in and above the keyhole (present either as a plasma or plume), the molten pool, and the base metal.. Photodiodes, sensing visible and nearinfrared (NIR) emissions, were used to monitor laserinduced radiative emissions from the laser interaction zone. Correlations of these signals with different types of weld discontinuities were investigated, such as incomplete penetration and porosity. Filters were employed between the photodiodes used and the laser interaction zone, to improve their specificity

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