Dr Lucia Scotti


Postdoctoral Research Associate

Research Area

Physics-based modelling and Digital Twin



Dr Lucia Scotti completed her PhD at the University of Birmingham in 2016, since then she worked as a computational engineer focusing on a wide range of modelling problems including a CFD study of AM. She took part in different research programs addressing various industrially relevant topics, such as new-product design, failure analysis, and process optimisation. At the University of Sheffield, she was previously involved in the building of a Digital Twin for steel forging, looking at uncertainty quantification methods, as well as physics-based modelling tools and technologies.

Current Research

Her current research focuses on developing physics-based modelling and digitalisation tools such as digital thread and digital twin for solid-state processing of metal powders such as FAST.   FAST allows the creation of near-net shape components at a reduced cost compared to the traditional powder consolidation process, characterised by fine microstructures as a result of the high heating rates. The final structure and properties depend on the process parameters (dwell temperature, dwell time, load/pressure, heating rate, and electric current waveform). The creation of a digital ecosystem can support an optimisation process by linking the monitored temperature and force profiles to the final mechanical behaviour. In the digital ecosystem, sensor data from the machine are visualised and stored in an organised and readable manner such as a report and used to feed modelling tools to obtain new enriched information to predict microstructure features and mechanical behaviour.