A novel, high efficiency low pressure ratio turbine developed by engineers at Imperial College London to capture a significant portion of residual exhaust energy with negligible effect on engine base performance.
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Dr Tom Reddyhoff
Lubricant additives to reduce fluid film friction under high pressure conditions
Novel chemical additives that reduce the fluid film friction of lubricated mechanical components under elastohydrodynamic conditions
James Chan
James joined Imperial in Sep 2021 as an Industry Partnerships and Commercialisation Senior Executive. He primarily takes care of IP and licensing cases from Department of Electrical and Electronic Engineering and Department of Computing. Prior to joining Imperial,...
Catch up: Innovations in engineering with AI and machine learning
This event highlighted some of the AI, machine learning and data-driven technologies from across Imperial that are being used for applications ranging from wireless video transfer to electric vehicle charging infrastructure, planning new offshore windfarms and optimising drug development and production.
Catch up: Affordable technologies for an ageing society
Imperial.Tech.Pitch: Affordable technologies for an ageing society centred on the premise that within 20 years, there will be 25% fewer taxpayers to pensioners in the UK than in 2020.
Catch up: Transition to zero pollution
Imperial.Tech.Pitch: Transition to zero pollution saw researchers and inventors from Imperial showcase their technologies and innovations that are helping companies and sectors to transition to a zero pollution future.
Catch up: Resilient infrastructure
Imperial.Tech.Pitch: Infrastructure resilience brought together inventors from Imperial to present their technology solutions to improve and enhance infrastructure around the world, from sensing and systems security through to carbon neutral concrete, corrosion prevention and design thinking innovations.
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Innovation in engineering with AI and Machine learning | Imperial.Tech.Pitch
Imperial’s Enterprise Division will demonstrate innovations in artificial intelligence and machine learning and show how they can be applied to solve real-world engineering challenges.
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