New FEMM Hub training session announced

30 June 2022

We are pleased to announce a new FEMM Hub training session titled NDT and Digital Engineering, to be held on 18 August 2022. This session is being run by Dr Pavan Addepalli and Professor John Erkoyuncu from Cranfield University.

Dr Pavan Addepalli is a lecturer in Degradation Assessment based with the Centre for Digital Engineering and Manufacturing, Manufacturing Theme at Cranfield University. Professor Erkoyuncu is Head of the Centre for Digital Engineering and Manufacturing and a Professor of Digital Engineering. The online session, taking place on 18 August, will provide a detailed overview of how NDT is used by engineers and researchers proving a platform to look into the current trends with a potential vision of how the future landscape might look like.

This session is open to all our hub partners - if you are interested please get in touch.

Poster for the FEMM Hub training session.

FEMM Hub training sessions

Our training sessions are available to all of our Hub partners - if you would like to be added to our mailing list, please get in touch via email at FEMMhub@sheffield.ac.uk.

NDT and digital engineering

Thursday 18 August 2022, 11am-1pm (online)Presented by Dr Pavan Addepalli (Cranfield University) and Professor John Erkoyuncu (Cranfield University).

Abstract

Non-destructive testing or NDT has been pivotal in the maintenance of long-life and critical assets with emphasis on capturing damage and preventing major failure of those complex engineering assets. The key attribute and benefit offered by NDT is its ability to inspect and interrogate the structural integrity of a component through to an asset and provide insights on the overall performance without causing detrimental effects to the inspected part.

The last decade has seen a significant increase in the application of digital tools and technologies towards maintenance of complex machines. Concepts have not just matriculated but have been applied in real-time, such as feature identification, extraction and characterisation through advanced artificial intelligence based algorithms (both machine learning and deep learning approaches) for effective maintenance decision making.

This session will introduce NDT, their applicability in field, together with the latest trends in the field along the digital technologies route. The aim is to not just provide how a measurement is made using an NDT technique, but to show the power of digital technologies in presenting the knowledge through powerful visualisation toolkits (augmented reality, virtual reality) and the background digital operational architectures (ontologies, digital twins).

The session will provide an end-to-end know-how on how NDT is used by engineers and researchers providing a platform to look into the current trends with a potential vision of how the future landscape might look like.