Seminar, Live Online
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The growth of cloud computing technology is unlocking the potential to perform more processor intensive models and analysis including using machine learning. This improved pattern recognition enables the processing of larger data sets to better understand performance, in addition to the refinement of the CFD models themselves.
This seminar will showcase the most exciting uses of CFD from both the industrial and academic communities. Speakers from a range of engineering sectors will share case studies on advanced CFD applications, allowing attendees to apply this knowledge in their own industry. The event will also highlight burgeoning research into the use of machine learning to improve models and process data, while shining a light on the technological developments underpinning new platforms.
WHY YOU NEED TO JOIN THIS SEMINAR:
- Learn from expert CFD practitioners sharing the steps they have taken to improve the accuracy and performance of their modelling
- Network with specialists across a range of industries to share best practice
- Ready yourself for the advent of more advanced CFD tools including machine learning and big data analysis
- Benchmark your organisation’s CFD practices against industry leaders to identify key steps for improvement
- Compare emerging tools for CFD analysis including commercial and open-source platforms
- Stay ahead of your competitors by successfully adopting machine learning to upgrade your computational performance
WHO SHOULD ATTEND:
All engineers and professionals involved with CFD modelling and calculation will benefit from this seminar, in particular:
- Principal engineers
- Design engineers
- Research engineers
- Software designers
- Research leads
PAST ATTENDEES INCLUDE:
Airbus Operations Ltd
ANSYS UK Ltd
Rolls Royce Power Engineering Plc
City University London
Doosan Power Systems
Frazer-Nash Consultancy Ltd
Goodwin International Limited
Greenbank Terotech Ltd
University of Leeds
JCB Power Systems
University of Leeds
Britannia Refined Metal Ltd
Imperial College / CNRS
Lancaster University Engineering Department
Micromass UK Ltd
Team Consulting Ltd
Cummins Generator Technologies
Transport for London
University of Oxford
Wilde Analysis Ltd
SUPPORT YOUR CAREER DEVELOPMENT:
Attending this event supports your Professional Development; if you're an IMechE Member, this can be tracked in the Career Developer section of your online account.
There are currently no Programme details available.
Neil Ashton: Principal CFD Specialist SA, HPC, Amazon Web Services
Max Starr: Analysis & Simulation Team, INEOS TEAM UK
Omar Matar: Professor of Fluid Mechanics, Imperial College London
Ruth Shilston: Leader of Major Projects, Eurasia, RWDI
Paul Harrison: Senior Consultant Engineer, Future Facilities
Matt Straw: Managing Director, Norton Straw Consultants
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