Hossain Ebrahimzadeh, Hassan Farhangi, Seyed Ali Asghar Akbari Mousavi, and Arman Ghahramani, Microstructural analyses of aluminum–magnesium–silicon alloys welded by pulsed Nd: YAG laser welding, Int. J. Miner. Metall. Mater., 27(2020), No. 5, pp. 660-668. https://doi.org/10.1007/s12613-020-2027-y
Cite this article as:
Hossain Ebrahimzadeh, Hassan Farhangi, Seyed Ali Asghar Akbari Mousavi, and Arman Ghahramani, Microstructural analyses of aluminum–magnesium–silicon alloys welded by pulsed Nd: YAG laser welding, Int. J. Miner. Metall. Mater., 27(2020), No. 5, pp. 660-668. https://doi.org/10.1007/s12613-020-2027-y
Research Article

Microstructural analyses of aluminum–magnesium–silicon alloys welded by pulsed Nd: YAG laser welding

+ Author Affiliations
  • Corresponding author:

    Hossain Ebrahimzadeh    E-mail: h.ebrahimzadeh@ut.ac.ir

  • Received: 26 October 2019Revised: 20 January 2020Accepted: 21 January 2020Available online: 16 April 2020
  • Revealing grains and very fine dendrites in a solidified weld metal of aluminum–magnesium–silicon alloys is difficult and thus, there is no evidence to validate the micro- and meso-scale physical models for hot cracks. In this research, the effect of preheating on the microstructure and hot crack creation in the pulsed laser welding of AA 6061 was investigated by an optical microscope and field emission electron microscopy. Etching was carried out in the gas phase using fresh Keller’s reagent for 600 s. The results showed that the grain size of the weld metal was proportional to the grain size of the base metal and was independent of the preheating temperature. Hot cracks passed the grain boundaries of the weld and the base metal. Lower solidification rates in the preheated samples led to coarser arm spacing; therefore, a lower cooling rate. Despite the results predicted by the micro and meso-scale models, lower cooling rates resulted in increased hot cracks. The cracks could grow in the weld metal after solidification; therefore, hot cracks were larger than predicted by the hot crack prediction models.

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