Wed, 02 October, 2024
NSIRC Student Co-authors Research Paper on Additive Manufacturing and the Use of Artificial Intelligence to Improve Metal 3D Printing
A research paper co-authored by NSIRC PhD Student Francesco Careri has been published in the Scripta Materialia journal, showcasing a significant advancement in the field of additive manufacturing.
The paper, titled 'A Novel Porosity Prediction Framework Based on Reinforcement Learning for Process Parameter Optimisation in Additive Manufacturing,' introduces a cutting-edge framework based on reinforcement learning (RL) for predicting porosity in metal laser-powder bed fusion (L-PBF).
The research, led by Dr Leonardo Stella, Associate Professor from the University of Birmingham, in collaboration with experts from various institutions, including TWI Ltd, demonstrates the integration of reinforcement learning in L-PBF for porosity prediction. This involves utilising advanced artificial intelligence techniques to optimise process parameters and predict porosity in metal 3D printing, specifically focusing on aluminium alloy components.
The study showcases the potential of machine learning to revolutionise additive manufacturing by enabling the prediction of complex patterns and behaviours, leading to advancements in design optimisation, process control, and cost minimisation.
Francesco Careri, a PhD student at NSIRC, played a crucial role in this research, focusing on investigating Laser Powder Bed Fusion (L-PBF) for producing thin-structure and complex geometry components using aluminium alloy. This work has significant implications for the manufacturing industry, offering new possibilities for producing components that are challenging to manufacture using traditional methods.
For further information about this research, please contact Francesco Careri via LinkedIn or email at enquiries@nsirc.co.uk.
Francesco's research is supported by the University of Birmingham and TWI Ltd through the EPSRC CDT in Topological Design and is funded by the European Union's Horizon 2020 research and innovation programme.
Francesco Careri presenting his PhD research at the NSIRC 2023 Annual Conference. Photo: TWI Ltd / NSIRC