Four peak temperatures and two cooling rates were used in a Gleeble thermomechanical
processing machine to simulate weld HAZ of API X-80 pipeline steel. Bainitic microstructures …

The electrochemical investigations were carried out to link between the quantities of
selected microstructural features, of the weld metal, near-fusion, coarse grain and fine grain …

Artificial neural networks with multilayer feed forward topology and back propagation
algorithm containing two hidden layers are implemented to predict the effect of chemical …

The final microstructure and resulting mechanical properties in the linepipe steels are
predominantly determined by austenite decomposition during cooling after …

In the present study, bainite fraction results of continuous cooling of high strength low alloy
steels have been modeled by artificial neural networks. The artificial neural network models …

In the present study, an artificial neural networks-based model (ANNs) was developed to
predict the Vickers microhardness of low-carbon Nb microalloyed steels. Fourteen …

The microstructure evolution, tensile properties and aging behavior were studied in a low-
carbon pipeline steel by performing a number of physical simulations in a thermo …

In the present study, an artificial neural networks-based model was developed to predict the
ferrite fraction of microalloyed steels during continuous cooling. Fourteen parameters …

A series of physical simulations, with parameters resembling those of industrial rolling, were
applied using a thermo-mechanical simulator on microalloyed bainitic pipeline steel to study …

In the present work, phase transformation behavior and structure-property correlation in X-
80 steel was analyzed at three distinct austenitizing peak temperatures (1250 C, 1030 C and …