Next-Generation CFD: Cutting-Edge Applications, Advanced Modelling and Machine Learning

Overview

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
• Consultants
• Innovators
• Software designers
• Academics
• Research leads

PAST ATTENDEES INCLUDE:

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.

Event Registration Enquiries: Event Enquiries

T: +44 (0)207 973 1251   E: eventenquiries@imeche.org

Exhibition & Sponsorship Opportunities: Daniel Anglin

T: 020 7973 1309   E: d_anglin@imeche.org