Abstract
A simulation model was developed for the monitoring, controlling and optimization of the Friction Stir Welding (FSW) process. This approach, using the FSW technique, allows identifying the correlation between the process parameters (input variable) and the mechanical properties (output responses) of the welded AA5754 H111 aluminum plates. The optimization of technological parameters is a basic requirement for increasing the seam quality, since it promotes a stable and defect-free process. Both the tool rotation and the travel speed, the position of the samples extracted from the weld bead and the thermal data, detected with thermographic techniques for on-line control of the joints, were varied to build the experimental plans. The quality of joints was evaluated through destructive and non-destructive tests (visual tests, macro graphic analysis, tensile tests, indentation Vickers hardness tests and t thermographic controls). The simulation model was based on the adoption of the Artificial Neural Networks (ANNs) characterized by back-propagation learning algorithm with different types of architecture, which were able to predict with good reliability the FSW process parameters for the welding of the AA5754 H111 aluminum plates in Butt-Joint configuration.
Highlights
The process of Friction Stir Welding (FSW) is a solid-state welding method based on frictional and stirring phenomena, which was discovered and patented by the Welding Institute of Cambridge in 1991 and documented in the literature by Thomas [1], Nandau et al [2], and Rodrigues et al [3].In this process, welding heat is produced by a rotating non-consumable tool which plunges into the work piece and moves forward
The used data refer to the experiments on two hot rolled AA5754 H111 plates
The optimal R2 and r was obtained for batch back propagation (BBP) learning algorithm (Table 4), both Artificial Neural Networks (ANNs) were trained with BBP training algorithm based on a recursive procedure that estimates the weights according to the response of each layer errors [36,39]
Summary
The process of Friction Stir Welding (FSW) is a solid-state welding method based on frictional and stirring phenomena, which was discovered and patented by the Welding Institute of Cambridge in 1991 and documented in the literature by Thomas [1], Nandau et al [2], and Rodrigues et al [3]. In this process, welding heat is produced by a rotating non-consumable tool which plunges into the work piece and moves forward.
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