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.

Publications

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