DigiTwin was a £5M EPSRC funded programme grant, that ran from February 2018 until September 2023, led by the University of Sheffield in collaboration with the Universities of Bristol, Cambridge, Liverpool, Southampton & Swansea and ten industrial partners: Airbus, EDF energy, Leonardo Helicopters, LOC engineering, Romax Technology, Schlumberger, Siemens Gamesa, Siemens Turbomachinery, Stirling Dynamics and Ultra Electronics.
The specific research objectives of the project were:
· Design: specifically to create new design methodologies that can be applied to dynamic systems that lead to significant improvements in confidence based on digital twin concepts
· Uncertainty management: to fully integrate quantification, propagation and management of uncertainty into the digital twin framework to radically improve the levels of trust available
· Validation: to ensure that the digital twin framework can be robustly verified and validated
Digitwin aimed to empower industry with the ability to create digital twins as predictive tools for real-world problems that (i) improve design methodology leading to significant cost savings, and (ii) transform uncertainty management of key industrial assets, enabling a step change reduction in the associated operation and management costs. Ultimately, we envisage that the scientific advancements proposed here will revolutionise the engineering design-to-decommission cycle for a wide range of engineering applications of value to the UK.
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