Abstract
A thermal phase transformation finite element model is presented to study the orbital friction welding of eutectoid steel components. The experimental microstructure observations and the hardness profile in the weld and heat-affected zone verify the predictive capability of the proposed model. Moreover, based on the experimental friction welding data, a neural network analysis is presented which relates the weld integrity in terms of the size of the flash (upset) to the friction welding parameters.
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