Researchers at Carnegie Mellon University (CMU) have developed a multi-agent, Large Language Model (LLM)-orchestrated workflow designed to automate early-stage alloy evaluation for laser powder bed fusion (LPBF). Reported in Additive Manufacturing Letters, the system integrates Thermo-Calc property calculations with an analytical melt pool model to generate lack of fusion (LoF) process maps for screening known […]
Friday, February 13, 2026
CMU researchers develop agentic AI workflow to evaluate LPBF alloy printability using Thermo-Calc and lack of fusion process maps
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