A numerical and an experimental campaign were carried out with varying oscillation frequency and interface pressure. The local values of the main field variables at the contact interface between the specimens were predicted by a Lagrangian, implicit, thermo-mechanical FEM model and used as input of a dedicated Neural Network (NN). The NN, integrated in the FEM environment, was designed in order to calculate both a Boolean output, indicating the occurrence of welding, and a continuous output, indicating the quality of the obtained solid state weld. The analysis of the obtained results allowed three different levels of bonding quality, i.e., no weld, sound weld and excess of heat, to be correctly identified and predicted.

Buffa, G., Campanella, D., Pellegrino, S., Fratini, L. (2016). Weld quality prediction in linear friction welding of AA6082-T6 through an integrated numerical tool. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 231, 389-396 [10.1016/j.jmatprotec.2016.01.012].

Weld quality prediction in linear friction welding of AA6082-T6 through an integrated numerical tool

BUFFA, Gianluca;CAMPANELLA, Davide;PELLEGRINO, Sergio;FRATINI, Livan
2016-01-01

Abstract

A numerical and an experimental campaign were carried out with varying oscillation frequency and interface pressure. The local values of the main field variables at the contact interface between the specimens were predicted by a Lagrangian, implicit, thermo-mechanical FEM model and used as input of a dedicated Neural Network (NN). The NN, integrated in the FEM environment, was designed in order to calculate both a Boolean output, indicating the occurrence of welding, and a continuous output, indicating the quality of the obtained solid state weld. The analysis of the obtained results allowed three different levels of bonding quality, i.e., no weld, sound weld and excess of heat, to be correctly identified and predicted.
2016
Buffa, G., Campanella, D., Pellegrino, S., Fratini, L. (2016). Weld quality prediction in linear friction welding of AA6082-T6 through an integrated numerical tool. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 231, 389-396 [10.1016/j.jmatprotec.2016.01.012].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/168806
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