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Tribology Modelling: Friction and wear prediction across the scales

The must-attend Tribology Modelling seminar will enable you to enhance your understanding of the latest methods and approaches in predicting friction and wear in tribological systems. Gain valuable insights from key figures within industry and academia, who will address developments that can be applied to your day-to-day activities and enable optimisation of resources.

Key programme highlights include:
. Take into account realistic lubricant properties from lubrication models with Shell Global Solutions (UK)
. Gain insights into molecular modelling of lubricants and additives from Imperial College London
. SKF Research and Technology Development discuss modelling tribology of rolling bearings
. Find out how MAHLE Engine Systems UK Ltd are moving from lubrication theory to practical engine applications
. Understand tribofilms and their effect in boundary lubrication modelling with the University of Leeds

Confirmed seminar speakers:
. Robert Ian Taylor, Technology Manager, Lubricants Innovation Team, Shell Global Solutions (UK)
. James P. Ewen, PhD Researcher, Tribology Group, Imperial College London
. Andreas Almqvist, Professor, Division of Machine Elements, Lulea University of Technology
. Dr Guillermo E. Morales-Espejel, Principal Scientist, SKF Research and Technology Development
. Dr Ali Ghanbarzadeh, Post-Doctoral Research Fellow, School of Mechanical Engineering, University of Leeds
. Dr Omar Mian, Head of Numerical Simulation, MAHLE Engine Systems UK Ltd
. Rob Bosman, Associate Professor Physics of Durability, University of Twente
. Robbie Balcombe, Technical Director, COMSOL Ltd

View the seminar programme and register online at http://www.imeche.org/tribologymodelling

Website: https://go.evvnt.com/145662-0

Member: GBP 250
Non-member: GBP 300

Event Date: 13 September 2017 - 13 September 2017 Contact Person: Vinh Trinh
Venue: National Motorcycle Museum, Coventry Road, Bickenhill, Solihull, B92 0EJ Email:
Country: United Kingdom Tel: +44 (0)20 7973 1291

Registration Website: https://go.evvnt.com/145662-1

Submitted by Love Evvnt, Evvnt on Wednesday, 13 September 2017 at 8:30 AM
Category: Enterprise Technology
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