Simulation to Enable a Data-Driven Circular Economy

The project team behind the Circular 4.0: Using digital intelligence in automotive parts remanufacture to enable a circular economy Connected Everything Feasibility Study has just had the following paper published: Sustainability 2019, 11(12), 3379; https://doi.org/10.3390/su11123379Simulation to Enable a Data-Driven Circular Economy This paper presents an investigation on how simulation informed by the latest advances in … Continue reading Simulation to Enable a Data-Driven Circular Economy

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