ICME

Are you looking for a method to predict material behavior during additive manufacturing? EWI has examined and validated the use of a cellular automation approach for numerical grain growth modeling during solidification in dynamic processes like AM. As part of EWI’s ICME* series, Alex Kitt and Lang Yuan have written Predicting Grain Growth During Additive...

In EWI’s ongoing series* on incorporating integrated computational materials engineering (ICME) methods for material behavior prediction, several techniques have been examined. For complex, multicomponent systems, however, the CALPHAD approach offers an expanded understanding of known properties and experimental data. A paper by EWI Applications Engineer Rafael Giorjão, Numerical Microstructural Modeling Tools as Applied to Welding...

The ability to advance model phase transformations in metals during welding enables design engineers to optimize material selection and joining processes in the earliest stages of product development. Techniques based on certain analytical equations can predict phase transformations. These methods are part of EWI’s overall ICME approach* to material behavior modeling. EWI associates Alber Sadek,...