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
Top 50 Women in Engineering
Congratulations to two active network members - Dr Fiona Charnley (Cranfield University) and Dr Kate Black (University of Liverpool) - for recently being named amongst the Top 50 Women in Engineering (WE50). The WE50 campaign aims to raise awareness of the skills shortage facing the industry and the huge discrepancy between the number of men … Continue reading Top 50 Women in Engineering
