Analytical Modeling of In-Process Temperature in Powder Bed Additive Manufacturing Considering Laser Power Absorption, Latent Heat, Scanning Strategy, and Powder Packing.

摘要: Temperature distribution gradient in metal powder bed additive manufacturing (MPBAM) directly controls the mechanical properties and dimensional accuracy of build part. Experimental approach numerical modeling for temperature MPBAM are limited by restricted accessibility high computational cost, respectively. Analytical models were reported with efficiency, but developed employed a moving coordinate semi-infinite medium assumption, which neglected part dimensions, thus reduced their usefulness real applications. This paper investigates in-process through analytical using stationary an origin at boundary (absolute coordinate). solutions prediction single-track scan multi-track scans considering scanning strategy. Inconel 625 is chosen to test proposed model. Laser power absorption inversely identified molten pool dimensions. Latent heat considered integration method. The evolution investigated respect time. stabilized temperatures bidirectional predicted under various process conditions. Close agreements observed upon validation experimental values literature. Furthermore, positive relationship between dimensions packing porosity was sensitivity analysis. With benefits absolute coordinate, presented model can predict during MPBAM, be used further investigate residual stress distortion