A comprehensive study on meltpool depth in laser-based powder bed fusion of Inconel 718

Abstract One problematic task in the laser-based powder bed fusion (LB-PBF) process is estimation of meltpool depth, which a function parameters and thermophysical properties materials. In this research, effective factors that drive depth such as optical penetration angle incidence, ratio laser power to scan speed, surface plasma formation are discussed. The model useful estimate for various manufacturing conditions. A proposed methodology based on simulation set obtain variation temperature, followed by validation with reference experimental test data. Numerical LB-PBF was performed using computational scientific tool “Flow3D Version 11.2” features. data then developed into predictive analytical temperature associated parameters. novelty contribution research characterising fundamental governing developing an properties. predictor helps accurately important has be sufficient effectively fuse build plate or previously solidified layers ensuring proper bonding quality. Results showed high accuracy predict depth. rapidly optimal window before setting up tasks can therefore save lead-time cost. This generally applied Inconel 718 processing generalisable any interest. discussions identified how physical govern induced heat versus affect quality components.