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Modeling process-microstructure relations in PBF-LB/M laser treatment using Gaussian process surrogates, Bayesian optimization and eddy current sensing
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DOI：10.1016/j.cirpj.2026.05.005.png)
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Abstract
En 中文
A key challenge in additive manufacturing is the precise manipulation of microstructural properties to mitigate issues such as residual stresses and poor mechanical performance. In this context, laser treatments such as laser heat treatment and laser remelting offer a promising approach to influence microstructure in the process of powder bed fusion with laser beam melting (PBF-LB/M). However, the complex process-microstructure relationship remains insufficiently characterized for systematic process control.
Keywords:
Gaussian process surrogate models
Bayesian optimization
Laser treatment
Microstructure
Retained austenite
PBF-LB/M
Residual stress
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