Neural Network Model for Isothermal Pearlite Transformation. Part I: Interlamellar Spacing Model
نویسندگان
چکیده
منابع مشابه
Characterization and Morphological Analysis of Pearlite in an Eutectoid Steel
Pearlite is a lamellar product of eutectoid decomposition, which may form in steels and non-ferrous alloys during transformations under isothermal or continuous-cooling (1,2). A pearlite nodule is composed of multiple colonies; each colony has parallel lamellae, which are orientated differently with respect to lamellae in adjacent colonies. This also exhibits a wide range of interlamellar spaci...
متن کاملEffects of Tungsten on the Pearlite Reaction in a Eutectoid Steel
The effect of an addition of 0.37 Wt % Won the overall transformation rate of the austenitepearlite reaction in a eutectoid steel is examined. Pearlite growth rates and interlamerllar spacing are measured as a function of transformation temperatures. Tungesten raises the Ael temperature, for most transformation temperatures, decreases the overall reaction rate, the growth rate and the interlame...
متن کاملExtremely Fine Pearlite by Continuous Cooling Transformation
An extremely fine, fully pearlitic structure with an interlamellar spacing 30–50 nm has been obtained during continuous cooling transformation at a rate as low as 0.1 C s, of the steel that is normally used to produce nanostructured bainite. The solutes cobalt and aluminium have been added to accelerate the rate of reaction and reduce the interlamellar spacing by increasing the free energy of t...
متن کاملInfluence of Pearlite Morphology and Heating Rate on the Kinetics of Continuously Heated Austenite Formation in a Eutectoid Steel
A model that describes pearlite-to-austenite transformation during continuous heating in a eutectoid steel has been developed. The influence of structure parameters, such as interlamellar spacing and edge length of pearlite colonies, and heating rate on the austenite formation kinetics has been experimentally studied and considered in the modeling. It has been found that the kinetics of austeni...
متن کاملAPPLICATION NEURAL NETWORK TO SOLVE ORDINARY DIFFERENTIAL EQUATIONS
In this paper, we introduce a hybrid approach based on neural network and optimization teqnique to solve ordinary differential equation. In proposed model we use heyperbolic secont transformation function in hiden layer of neural network part and bfgs teqnique in optimization part. In comparison with existing similar neural networks proposed model provides solutions with high accuracy. Numerica...
متن کامل