Overview

A digital twin is a virtual model of process, product or service. Combining virtual and real worlds allows faster design and also analysis of data and then monitoring of systems to head off problems before they occur, optimise and spot improvement opportunties through simulation.

DigiTwin is a £5M EPSRC funded programme grant, running from February 2018 until January 2023, led by the University of Sheffield in collaboration with other partners. The aim of the project is to create a robustly-validated virtual prediction tool called a “digital twin”. A digital twin is much more than just a numerical model: It is a virtualised proxy version of the physical system built from a fusion of data with models of differing fidelity, using novel techniques in uncertainty analysis, model reduction, and experimental validation. The project will deliver the transformative new science required to generate digital twin technology, with all their benefits, for key sectors of UK industry: Specifically power generation, automotive and aerospace.

Presenter

David Wagg, University of Sheffield

David Wagg is the DigiTwin Principal Investigator (PI) and Chair of the Management Committee & Media (including Social Media). David Wagg was awarded his BEng degree and PhD (at the Centre for Nonlinear Dynamics) from University College London. From 1998 until 2000 he was a postdoctoral researcher at the Earthquake Engineering Research Centre at the University of Bristol.

In 2000 he was appointed as a Lecturer in the Department of Mechanical Engineering at the University of Bristol and he became Professor there in 2008. From 2004-2009 he was an EPSRC Advanced Research Fellow. In July 2013 he moved to the University of Sheffield to take up a chair in Nonlinear Dynamics.

Professor Wagg's research is focused on understanding and controlling nonlinear structural dynamics. He has published extensively in the topic area including the book Nonlinear Vibration with Control (Springer, 2015, 2nd Ed), which is one of the first to describe using nonlinear modelling and control for structural dynamics.

Time

09:00-10:00 BST

Format

A one-hour online session: 40 minutes' presentation + 20 minutes' Q&A.
Duration (for CPD recording purposes): up to one hour.

If you are recording mandatory CPD you should refer to your own regulator's requirements as recognition of CPD hours may vary.

Software

The presentation will be delivered via GoToWebinar®. 
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You are advised to join the webinar at least ten minutes before the scheduled start time, to allow for your computer to connect.

Webinar archive

This webinar is free of charge and open to all to attend, but if you wish to access the slides and a recording to replay on demand then you'll need to be a member of the Process Management & Control Special Interest Group.

If you're interested in giving an online presentation to our international community of chemical engineers, we'd like to hear from you. Please email special interest groups support team with information on yourself and your proposed talk.