most citedAccurate and efficient predictions of keyhole dynamics in laser materials processing using machine learning-aided simulations

11 citations · 11 across the 1 of their papers we have counts for

collaborators

2 papers

physics.app-ph2026

A reduced-order analysis for multi-reflection-driven laser absorptance in vaporization-induced cavities

Haolin Liu, Haoran Shi, Xuzhe Zeng +4

Multiple internal reflections enhance laser absorption in vaporization-induced cavities, but connecting ray histories, cavity geometry, and absorptance typically requires full ray…

cond-mat.mtrl-sci2024★ 11 cited

Accurate and efficient predictions of keyhole dynamics in laser materials processing using machine learning-aided simulations

Jiahui Zhang, Runbo Jiang, Kangming Li +11

The keyhole phenomenon has been widely observed in laser materials processing, including laser welding, remelting, cladding, drilling, and additive manufacturing. Keyhole-induced d…