most citedTowards a Digital Twin Framework in Additive Manufacturing: Machine Learning and Bayesian Optimization for Time Series Process Optimization

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

cs.LG2024★ 3 cited

Towards a Digital Twin Framework in Additive Manufacturing: Machine Learning and Bayesian Optimization for Time Series Process Optimization

Vispi Karkaria, Anthony Goeckner, Rujing Zha +6

Laser-directed-energy deposition (DED) offers advantages in additive manufacturing (AM) for creating intricate geometries and material grading. Yet, challenges like material incons…