Multi-track, multi-layer dendrite growth and solid phase transformation analysis during additive manufacturing of H13 tool steel using a combined hybrid cellular automata/phase field, solid-state phase prediction models

Using an efficient hybrid Cellular Automata/Phase Field (CA-PF) dendrite growth model in combination with a solid-state phase transformation model, microstructure evolution and were predicted during laser direct deposition (LDD) of H13 tool steel powder within large domain across multiple tracks layers. Temperature surface geometry data provided by comprehensive physics-based model. The computational efficiency the CA-PF allows for simulating domains enough to capture entire molten pool into neighboring LDD target track is strongly affected heat from including re-melting, re-solidification austenitization, martensite formation tempering. Dendrite size direction fusion zone, as well hardness values, are found be good agreement experimental results.