This ‘Digital Solutions for Tribology’ one-day event jointly organised by IOP and IMechE Tribology Groups is the 3rd of the ‘Tribology and the Journey to Net Zero’ Series initiated by IMechE Tribology Group in 2022.
The seminar will cover a spectrum of digital techniques as applied to tribology, for example, digital twins, simulation, Machine Learning and Artificial Intelligence, molecular modelling, data processing and data fusion. Applications may range from laboratory and research testing through to automation in Industry 4.0 and field implementation of commercial products. Tribology is key to helping achieve the ambitious drive to carbon net zero by 2050, from increasing machine efficiency (by reducing carbon footprint and premature scrappage) to enabling new technologies which positively impact the design and design practice and operation for moving parts.
Professor Honor Powrie FREng, FInstP, Sr Director Data Science & Analytics, GE Aerospace
Professor Ling Wang, Chair of IOP Tribology Group Committee, nCATS, University of Southampton
Ling is Professor of Tribo-Sensing at the national Centre for
Advanced Tribology at Southampton (nCATS), University of Southampton. She has
over 25 years research experience in the field of tribology and sensing and
published over 100 research papers in relevant areas. Her research focuses
on tribology of rolling contact fatigue; novel sensing techniques
for tribological contacts; and intelligent tribological systems using
machine learning methods. She is Fellow of British Institute of
Non-Destructive Testing (BINDT) and chairs the Tribology Group Committee at
Institute of Physics since 2022. She won the 2017 BINDT COMADIT Prize and the
2021 IMechE Donald Julius Groen Prize.
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