Comments on the Numerical Models for Correlating Weld Metal Composition to Microstructure and Properties

Abstract

There has been a steady rise in the use of computational tools to model or describe weld microstructure and properties from data sets containing a wide range of inputs and outputs measured by experiments. The tools range in sophistication from simple two-factor correlations in spreadsheets to artificial neural networks.