5–7 Oct 2021 Virtual Conference
Virtual Conference
Europe/Vienna timezone

Search for Compositionally Complex Coating Materials for a Sustainable Steel Industry

5 Oct 2021, 13:50
15m
Room 1

Room 1

Oral Presentation Machine learning, big data and artificial intelligence T_10 Advanced iron & steel processing, environmental impact

Speaker

Dr Zihui Dong (University of Leicester)

Description

Iron and steel production is an energy-intensive process, often associated with high greenhouse gas (GHG) emissions. There is a drive to reduce GHG emissions in energy-intensive industries. However, the existing technologies used for reducing CO2 emission have reached a plateau. The emergence of novel technologies such as carbon capture, utilisation and storage systems are proposed as a new strategy for the steelmaking industry to adopt more proactive, sustainable improvements which aim to advance current equipment with progressive production efficiency, component lifetime and reduced environmental impact. In order to realise aforementioned targets, capability of materials to tolerate the corrosive, erosive, reactive and high temperature process gases is essential to develop new coating materials. The EU-funded FORGE project plans to develop novel and cost-effective coatings of compositionally complex alloys, combining machine learning models, thermodynamic calculations, and high-throughput experiments. FORGE will demonstrate these coatings on processes such as CO2-capture, waste heat recovery, components in kilns and undergoing wear, and show the efficacy in defying the acting degradation forces, and assuring coating effectiveness with smart monitoring of their deterioration. FORGE aims to minimise the overall capital and operative expenses in steelmaking industry.

Author

Dr Zihui Dong (University of Leicester)

Co-authors

Dr Francesco Fanicchia (TWI Ltd) Prof. Hongbiao Dong (University of Leicester) Jihad Zraibi (AeonX AI) Marzuk Kamal (AeonX AI) Dr Shiladitya Paul (TWI Ltd)

Presentation materials