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
Thermal performance exploration of 3D printed cob
Congratulations to Dr Mohamed Gomaa et al for the publication of their journal paper investigating the thermal properties of 3D printed cob. This paper has resulted from the feasibility study funded by Connected Everything and led by Dr Wassim Jabi (Cardiff University).
SLS sensing system
Following his feasibility study funding, Phillip Stanley-Marbell (Cambridge) has created a new sensing system for a Selective Laser Sintering machine. This #Github link gives a really nice overview of the work: https://github.com/physical-computation/Sesame
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
