Monitoring relevant parameters for steel manufacturing
For optimising the steel manufacturing process, the MULTIPLE project aims to implement the technologies to optimise the furnace combustion, control the furnace temperature and monitor the real temperature of the slab in the rolling mill.
MULTIPLE is implementing its photonic-based process monitoring technologies to monitor relevant parameters for steel manufacturing to optimise the steel manufacturing process. An adaptive on-line control of the furnace and the rolling mill for the steel manufacturing process will be implemented, enabling the optimisation in terms of product and energy efficiency. For the furnace monitoring solutions, MULTIPLE is implementing pyrometer lectures across the line, thermocouple lectures inside the furnace, SWIR HSI monitoring of the steel slab and furnace walls, and UV measurements of slabs. Using edge computing, the process can be continuously controlled and adjusted in real time. These fully integrated systems will optimise the operation point in the furnace and automatically adjust the reheating sequences and loads at the rolling mill, avoiding scraps and defective parts, ensuring end product quality, and reducing the consumption of energy.
July 2020 – First laboratory trials with LDL steel samples to identify mixtures based on composition
Experimental trials for spectral characterization of steel slabs using hyperspectral cameras in the visible and SWIR range. The plates have been heated up using a ceramic oven to reach temperatures around 1300ºC. This first dataset will be used to prototype a classifier to discriminate among different steel alloys based on their composition and to develop a SWIR thermography approach to measure temperature independent on emissivity.