Search results for "Hardenability"
showing 2 items of 2 documents
ANN Model to predict the bake hardenability of Transformation-Induced Plasticity steels
2009
Neural networks are useful tools for optimizing material properties, considering the material’s microstructure and therefore the thermal treatments it has undergone. In this research an artificial neural network (ANN) with a Bayesian framework able to predict the bake hardening and the mechanical properties of the Transformation-Induced-Plasticity (TRIP) steels was designed. The forecast ability of the ANN model is achieved taking into account the operating parameters involved in the Intercritical Annealing (IA), in the Isothermal Bainite Treatment (IBT) and also considering the different prestrain values and the volume fraction of the retained austenite before the Bake Hardening (BH) treat…
A Quasi-likelihood Markov model for the hardenability of steel
1992
To evaluate the hardenability of steel the Jominy test can be used. A steel bar of fixed dimensions is heated up to about 850 °C and then quenched from one end by water spray. Its hardness y is then measured at increasing distances d from this quenched end giving observations (d, y(d)), which form the Jominy curve. For each Jominy curve these observations can be fitted by descending curve μ = μ(d; η) with shape parameters η = (η 1,..., η p ) T which are assumed to vary along the alloying elements (C, Mn, Cr etc.).