There has been growing momentum around laser beam shaping in LPBF, as it introduces new possibilities for controlling melt pool behavior beyond conventional tuning of laser power and scan speed.
Traditional Gaussian beams concentrate energy at the center, often resulting in steep thermal gradients, strong recoil pressure, and a narrow process windowโconditions that can promote keyholing and spatter.
By spatially redistributing energy using top-hat, ring, multi-spot, or dynamically shaped beams, recent studies demonstrate improved melt pool stability, reduced peak temperatures, and more uniform heat distribution. These effects directly influence Marangoni flow, keyhole stability, porosity formation, microstructure evolution, and residual stress.
Want to see how this approach extends to WLAM?
Join our upcoming global webinar on WLAM microstructure analysis using AM PravaHยฎ and learn how virtual simulation can reduce experimental trials and accelerate process understanding.
While the benefits remain material-dependent and introduce added optical complexity, beam shaping marks a clear transition in LPBF from parameter tuning to intentional energy distribution engineering, especially as systems move toward higher power and productivity.
In this context, AM PravaHยฎ plays a critical role by combining high-fidelity multiphysics simulations with customizable laser beam profiles. This enables systematic evaluation of beamโmelt pool interactions and provides actionable insights for achieving robust process windows and improved part quality.











