Article ID Journal Published Year Pages File Type
511121 Computers & Structures 2009 9 Pages PDF
Abstract

In the paper the microstructural phenomena in terms of average grain size occurring in friction stir welding (FSW) processes are focused. A neural network was linked to a finite element model (FEM) of the process to predict the average grain size values. The utilized net was trained starting from experimental data and numerical results of butt joints and then tested on further butt, lap and T-joints. The obtained results show the capability of the AI technique in conjunction with the FE tool to predict the final microstructure in the FSW joints.

Related Topics
Physical Sciences and Engineering Computer Science Computer Science Applications
Authors
, , ,