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Higher-level laser parameters for weld dimensionsprediction in laser welding

Authors: Victor HAYOT; Sylvain Lecler; André Ferreira; Grégoire CHABROL;

Higher-level laser parameters for weld dimensionsprediction in laser welding

Abstract

Laser welding is an essential technology for many applications. However, due tothe complex non-linear interactions between parameters and the emergence ofweld defects, there are still many challenges in predicting the physical transfor-mations occuring during welding. For these predictions, Suder suggested reducingthe number of parameters by using higher-level parameters such as power den-sity, interaction time, and specific point energy. He predicts that, for a givenpower density, the weld penetration depth is logarithmically correlated with thespecific point energy. In this study, we experimentally investigate the extensionof this law by testing different diameters of the fiber used to deliver the laserbeam. We demonstrate that this log law also depends on the beam size and pro-file. Our research establishes a generalised linear relationship between the areaof the cross-section of the weld and the specific point energy.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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