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Machine learning assisted prediction and optimisation of quality for laser directed energy deposition
Laser-directed energy deposition (L-DED) using a fibre laser involves complex parameter-quality relationships, and inappropriate parameter selection may cause porosity and unstable geometry. This study proposes an inverse process optimisation framework integrating hyperparameter-optimised LSBoost
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