Title
Glass Futures builds AI-driven digital twin to reinvent glass manufacturing
Glass Futures launches AI-driven digital twin to reinvent glass manufacturing Our Story Centre of Excellence Venue Innovation Membership Member Events Insigh…
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Description
Glass Futures, based in St Helens, England, built an AI-driven digital twin of its first-in-the-world multi-fuel pilot glass furnace, developed with NVIDIA and the University of Liverpool's Virtual Engineering Centre as part of the AI-GLASS project (£1.5m Innovate UK/Made Smarter UK funding). Using NVIDIA RTX Pro 6000 GPUs and NVIDIA PhysicsNeMo, the digital twin combines real pilot-line sensor data (16 sensor points) with physics-informed neural networks to run over 11,530 calculations simultaneously, accurately predicting glass output and letting manufacturers test new fuels, electric heating and low-carbon alternatives like hydrogen and biofuels before trying them on the real furnace.
…st ways to make glass. Located at its global centre of excellence in St Helens, Glass Futures has implemented a digital and immersive model of its first-in-the-world multi-fuel pilot furnace. Combining data from the ‘real’ furnace and simulated information with the laws…
…network so when we put data in, it digests this with physics principals meaning it’s incredibly accurate and can calculate 11,530 calculations all at once. This allows us to remove the barriers to experimentation by making things possi…
Company
Glass Futures
Glass Futures launches AI-driven digital twin to reinvent glass manufacturing Our Story Centre of Excellence Venue Innovation Membership Member Events Insigh…
Country
United Kingdom
…ct Jim at jim.scotson@glass-futures.org Contact us Glass Futures James Roby Way St Helens Merseyside WA9 5DT England Cookie Policy Privacy Policy © Glass Futures | Terms and Conditions Sign I…
Industry
Manufacturing
Glass Futures launches AI-driven digital twin to reinvent glass manufacturing Our Story Centre of Excellence Venue Innovation Membership Member Events Insigh…
Problem
Predicting how changes such as temperature, pressure, density, new fuels or heating methods would affect real furnace output required slow, costly physical experimentation, and complex phenomena like flame shape were difficult to describe to a computer.
…s to digitalise. Dr Scotson added: “This project wasn’t without its challenges. When we talk about flame shape and know just by looking at it how the furnace is performing, how do you describe pointy, jagged or flat to a computer? We solved this via temperature measurement, but we’ve learnt so much that we no…
Solution
Glass Futures, working with NVIDIA and the University of Liverpool's Virtual Engineering Centre on the AI-GLASS project, built a physics-informed AI digital twin of its multi-fuel pilot furnace using NVIDIA RTX Pro 6000 GPUs and NVIDIA PhysicsNeMo, combining real pilot-line sensor data from 16 sensor points with the laws of physics to predict glass output.
…rediction of how the end product will turn out. “The AI is incredibly powerful. Thanks to NVIDIA RTX Pro 6000 GPU s , we can combine real pilot-line data with 16 sensor points and NVIDIA P hysicsN e M o , meaning it is informed by the laws of physics. “Rather than just learning from our real and simulated data it already has a ph…
Technology
NVIDIA RTX Pro 6000 GPU, NVIDIA PhysicsNeMo
…rediction of how the end product will turn out. “The AI is incredibly powerful. Thanks to NVIDIA RTX Pro 6000 GPU s , we can combine real pilot-line data with 16 sensor points and NVIDIA P hysicsN e M o , meaning it is informed by the laws of physics. “Rather than just learning fro…
Use case type
Predictive operations
…ata from the ‘real’ furnace and simulated information with the laws of physics, the digital twin can process over 11k calculations at once accurately predicting glass output. Left: Real Furnace; Right: Digital Twin. It means industry will be able to test…
Headline outcome
…can drive innovation by allowing manufacturers of glass and other materials to try new fuels, electric heating, bubbling and other techniques and get an accurate prediction of how the end product will turn out. “The AI is incredibly powerful. Thanks to NVIDIA RTX Pro 6000 GPU s , we can c…
Business value
The digital twin can process over 11,530 calculations at once to accurately predict glass output, letting manufacturers test new fuels, electric heating, bubbling and other techniques virtually before trying them on a real furnace, removing barriers to experimentation and accelerating adoption of low-carbon alternatives such as hydrogen and biofuels.
…network so when we put data in, it digests this with physics principals meaning it’s incredibly accurate and can calculate 11,530 calculations all at once. This allows us to remove the barriers to experimentation by making things possi…
…be more experimental, testing new ways to decarbonise, improve efficiencies and confidently adopt new low-carbon alternatives such as hydrogen and biofuels. Anthony Hills, Director of UKI, said: “AI-GLASS shows how advanced AI can unloc…
AI capabilities
Predictive Analytics, Digital Twins & Simulation
…ata from the ‘real’ furnace and simulated information with the laws of physics, the digital twin can process over 11k calculations at once accurately predicting glass output. Left: Real Furnace; Right: Digital Twin. It means industry will be able to test…
Capture details
- Captured
- 25 Sept 2026, 05:34 UTC
- Extractor
- fetch-strip@1
- Snapshot hash
- b1ba5628a9a5e70a1af2dd0ca73aa80480b2bb132f241154f00660e9dec11532