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Article Dans Une Revue Science and Technology of Welding and Joining Année : 2022

A semi-empirical model for peak temperature estimation in friction stir welding of aluminium alloys

Danilo Ambrosio
  • Fonction : Auteur
Egoitz Aldanondo
  • Fonction : Auteur
Vincent Wagner
  • Fonction : Auteur
Gilles Dessein
  • Fonction : Auteur
Christian Garnier
  • Fonction : Auteur
Javier Vivas
  • Fonction : Auteur
Olivier Cahuc
  • Fonction : Auteur
  • PersonId : 1106667

Résumé

Process parameters and base material thermal properties strongly affect peak temperature evolution in friction stir welding (FSW). This work develops a semi-empirical model for peak temperature estimation during FSW of aluminium alloys. Several bead-on-plate runs were conducted on AA5083-H111, AA6082-T6 and AA7075-T6. Different rotational and welding speeds were tested while measuring the temperature with a thermocouple embedded in the tool. A polynomial model was proposed with the model's coefficients strongly correlating to the material thermal properties. Additionally, a threshold peak temperature was defined to avoid cold defects by combining temperature measurements with joint quality information obtained from X-ray scans. The efficiency of the model and the defined threshold are proven by applying them to the literature.
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Dates et versions

hal-03776997 , version 1 (14-09-2022)

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Danilo Ambrosio, Egoitz Aldanondo, Vincent Wagner, Gilles Dessein, Christian Garnier, et al.. A semi-empirical model for peak temperature estimation in friction stir welding of aluminium alloys. Science and Technology of Welding and Joining, 2022, 27 (7), ⟨10.1080/13621718.2022.2065106⟩. ⟨hal-03776997⟩
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