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What is Real-time Laser Additive Manufacturing Simulation about?

This study presents a machine learning approach for real-time simulation of temperature and density in Laser-Based Additive Manufacturing (LBAM) using Artificial Neural Networks (ANNs). The proposed method transforms laser paths into inputs for ANNs, enabling efficient predictions of thermal responses and material properties over long trajectories, significantly reducing computation time. The research highlights the potential of this approach to enhance process optimization and part qualification in LBAM, a

Author

22110125

Language

EN