Rapid prediction of dross formation and surface roughness using a stochastic CA model in L-PBF

Key Points

• Dross formation and surface roughness can be predicted rapidly using a stochastic CA model.
• The model provides insights for optimizing manufacturing processes, enhancing efficiency.
• This analysis used predictive modeling techniques to assess outcomes in L-PBF.
• Improved predictions may lead to better design and reduction of defects, supporting industry standards.