Lead Institution:  University of Liverpool
Industrial Partner:  Renishaw
Project Team: Dr Peter Green (PI, Liverpool), Dr Kate Black (Liverpool), Dr Chris Sutcliffe (Liverpool and Renishaw)
Project Duration: 8 months (August 2017 – March 2018)

End of Project report_Additive Manufacturing process control

Case Study_Additive Manufacturing process control


The project is the first to develop a semi-supervised machine learning approach for the identification of faulty additively manufactured parts.


Okaro IA, Jayasinghe S, Sutcliffe C, Black K, Paoletti P, Green PL. Automatic Fault Detection for Laser Powder-Bed Fusion using Semi-Supervised Machine Learning. Additive Manufacturing 2019, 27, (pages 42-53) https://doi.org/10.1016/j.addma.2019.01.006