Overview 

In a world facing simultaneous economic and climate crisis, the need to improve the efficiency of industrial processes has never been greater. However, companies remain slow to invest in upgrading inefficient equipment, due in large part to the high time, labour, and financial costs involved. In this talk, using the specific case-study of a fluid mixer, we show how digital models of industrial systems may be coupled to novel AI software in order to rapidly and effectively optimise their operating conditions and/or physical geometries to improve cost-effectiveness, throughput, and sustainability.

Speaker

Christopher Windows-Yule, Associate Professor in Chemical Engineering, University of Birmingham

Dr Kit Windows-Yule is a Turing Fellow, a two-time Royal Academy of Engineering Industrial Fellow, a Royal Society Industry Fellow, and Associate Professor of Chemical Engineering at the University of Birmingham. He is also a Research Ethics Reviewer for the Alan Turing Institute, a role which advises on the ethical implications of work performed by and through the Turing Institute, the UK's national institute for data science and artificial intelligence, and an Innovate UK BridgeAI Independent Scientific Advisor. His research interests concern the dynamics of particulate, fluid, and multiphase systems, and the development of novel experimental, numerical, and ML/AI methodologies through which these systems can be explored.

Dr Kit Windows-Yule works closely with a number of industrial partners in the chemical (Johnson Matthey, FMC), food (Mondelez, Jacobs Douwe Egberts), pharmaceutical (AstraZeneca, GlaxoSmithKline), and other (AWE, IFPEN, Rolls Royce, Unilever) sectors, applying these techniques to solve significant open problems in their respective fields. In his 5 years as Faculty at the University of Birmingham, he has assembled a grant portfolio with a value in excess of £5M, in addition to more than £1M in direct industry funding.

The material presented in this webinar has not been peer-reviewed. Any opinions are the presenter’s own and do not necessarily represent those of IChemE or the Fluid Mixing Processes Special Interest Group. The information is given in good faith but without any liability on the part of IChemE.

Time 

12:00-13:00 BST. 

Software

The presentation will be delivered via Microsoft Teams. We recommend downloading the app from the Microsoft website, rather than using the web portal.

You are advised to join the webinar at least ten minutes before the scheduled start time, to allow for your computer to connect.

Once this webinar has finished the Fluid Mixing Processes Special Interest Group Annual Meeting will begin.