Additive manufacturing (AM) is a relatively new manufacturing process that boasts a wide range of benefits including the ability to form complex geometries as well as high material usage. However, the reliability of additively manufactured parts is somewhat unknown and therefore the use of built parts in industry is limited.
This project focuses on using numerical modelling methods to help understand the links between process, microstructure and material properties within AM and ultimately enable the safe implementation of these parts in the industry.
In particular, this work concentrates on the methods of microstructure prediction and on understanding the links between process parameters and resultant grain structures. A coupled finite element – cellular automata method is implemented and validated against experimental results.