Rapid portabilization of elasto-chemical evolution data for dental Ti-Cr alloy microstructure through sparsification and tensor computation

Tailoring the microstructural design of a metastable two-phase Ti-Cr dental implant alloy with the optimal quantity of Cr-rich LAVES structure requires an integration of computation with informatics. This research introduces a stepwise process for generating alloy microstructure data using the phase field method, followed by sparsification and tensor computation techniques to reconstruct a microstructural informatics database for Ti-Cr alloy. This results in a significant 28-fold reduction in data size. Characterized by inpainting accuracies of 94.38% (Tucker decomposition) and 90.38% (Canonical Polyadic), the Tucker method is declared as the superior one in preserving microstructural elastic deformation information. The findings suggest that tensor computation methods present a robust strategy for accurately reconstructing complex microstructures, offering valuable insights for the digital manufacturing of Ti-Cr dental implant alloy.