Potential for 21,800 tonnes less CO2 emissions in the UK alone from Nuclear AMRC's on heat treatment on the AI6S collaborative project.
Slashing carbon emissions
Potential for 21,800 tonnes less CO2 emissions in the UK alone
Saving time, energy and money
The simulations will help improve the efficiency of heat treatment processes with big savings industrial users.
Heat treatment is widely used in industry to improve the material performance and integrity of components produced by casting, forging and other forming processes. Heat treatment processes are energy intensive in their own right. Any errors can lead to the component being scrapped with heavy additional costs in time, money and emissions.
As part of a collaborative project called AI6S, the Nuclear AMRC focused on process simulation and verification, to support the development of machine-learning regression models for process optimisation. Training these models requires detailed data on how components behave under heat treatment, as well as information on process parameters, product quality and energy consumption.
The work forms part of a programme to develop process optimisation tools based on artificial intelligence and Lean Six Sigma practices to reduce the energy used in heat treatment.
Steve Savage, from project partner Abbey Forged Products said:
It was great to have support from the Nuclear AMRC, as it’s invaluable to have science-backed analysis to enable change decisions.
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