|About this Abstract
||7th World Congress on Integrated Computational Materials Engineering (ICME 2023)
||An integrated process-structure-property framework for in-silico design of additively manufactured 18Ni-300 maraging steels
||Akash Bhattacharjee, Pravin Kumar, Himanshu Nirgudkar, Surya Ardham, Pramod Zagade, Gerald Tennyson, BP Gautham
|On-Site Speaker (Planned)
Processing parameters such as laser power, hatch distance, scan speed and baseplate temperature govern the final mechanical properties of an additively manufactured component. Process-structure-property (P-S-P) maps can guide in selection of process parameters to tailor the microstructure for desired properties of the component. However, the available information pertaining to microstructure evolution during non-equilibrium conditions is limited. This study is aimed at developing process-structure-property maps for selective laser melting of 18Ni-300 maraging steel using a combination of theoretical solidification models in the context of non-equilibrium solidification and prediction of grain sizes, phase fractions and estimation of microhardness from the resultant microstructure parameters. A parametric study of the effect of above-mentioned processing parameters on the final microstructure parameters will be presented. The PSP maps are then overlayed on the processing defect maps to assess the printability of the component. The potential of this in-silico approach to tailor site-specific properties will be presented.
||Planned: Other (describe below)