Automatic Fault Detection for Selective Laser Melting Using Semi-Supervised Machine Learning

The team behind the “Towards additive manufacturing process control using semi-supervised learning” feasibility study have just released a pre-print of the outcomes of their project. Click on the following link to read the paper "Automatic Fault Detection for Selective Laser Melting Using Semi-Supervised Machine Learning". https://www.preprints.org/manuscript/201809.0346/v1  

2018 Conference: Poster Winners

At last week's conference, 28 posters were presented and two posters were given awards as the "best in show".  Congratulations to all involved. Best Posters Awards: Continuous In Situ Microstructure and Composition Analysis within 3D-Printed Structures Using In-Chamber Sensors Phillip Stanley-Marbell, Robert Hewson, Daniela Petrelli and Nick Dulake What will happen when the high-performance computing … Continue reading 2018 Conference: Poster Winners