|About this Abstract
||7th World Congress on Integrated Computational Materials Engineering (ICME 2023)
||Digital Threads for FAST Processing
||Lucia Scotti, Martin Jackson, Oliver Levano Blanch, Beatriz Fernandez Silva, Sam Lister, Prashant Jadhav, Hugh Banes, Magnus Anderson, Hector Basoalto
|On-Site Speaker (Planned)
Field assisted sintering technology (FAST) is a manufacturing process for near-net shape components. The mechanical behaviour of the final part depends on the process recipe (dwell temperature, dwell time, load/pressure, heating rate, and electric current waveform), which is usually selected through user experience and extensive experimental trials. Digital threading of sensor data to physics-based computational models and vice versa promises to reduce the cost of the optimisation process and retains the know-how that can be lost when the workforce changes.The proposed digital thread implementation allows users to feed the temperature history and applied force from the FAST machine to modelling tools to add new data sets of phase transformation and macro-mechanics behaviour. The new enriched data-set will enable users to make informed decisions and optimise the process for new alloys and powder morphologies, reducing energy consumption and meeting the performance of the final part.