LASER-BASED ADDITIVE MANUFACTURING DEVICE AND METHOD FOR CRYSTALLIZATION CONTROL OF METALLIC GLASSES

Numerical models are typically used to simulate LPBF processing and predict thermophysical conditions like temperature gradients or cooling rates and resulting microstructural features. Yet, they have not been used to specifically predict and optimize amorphous fractions. The novelty resides in the implementation of metrics that are calculated, which predict the generation of crystalline regions. No other work has adapted LPBF processing parameters to fabricate metallic glasses for specific geometrical features. This approach can be used to predict the effects of individual processing parameters, saving a great amount of time in processing parameter optimization, as the model can be easily adapted to new and more complex geometries.