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Fives to Upgrade Arvedi AST’s Cold Annealing and Pickling Line
07/15/2025 - Fives announced stainless steelmaker Arvedi AST has turned to them for an upgrade of its cold annealing and pickling line in Italy.
Fives suggested installing the CELES EcoTransFluxTM transverse flux induction heater, designed for rapid heating at high temperatures even for nonmagnetic steel grades. When added to the annealing section, the company estimates it will allow for an increased output of over 16% on certain products and reduce NOx and CO2 emissions.
"We firmly believe that the electrification of processes and the implementation of advanced digital solutions, including sophisticated artificial intelligence algorithms, are an integral part of our decarbonization plan for the strategic development of the site," says Gian Luca Gigli, chief technology officer at Arvedi AST.
A digital solution to control the heating section is also planned. Using the VirtuoTM-L, fuel consumption will decrease and mechanical properties will be improved through transition management. The company estimated this will reduce coil rejections by over 5% and provide better heating management for lower gas consumption. They will also integrate an AI-based cooling model to regulation the cooling speed of the strip.
The company said the aim of the project is to increase production efficiency and throughput to meet future demand in the food, chemical, construction and automotive industries.
"We firmly believe that the electrification of processes and the implementation of advanced digital solutions, including sophisticated artificial intelligence algorithms, are an integral part of our decarbonization plan for the strategic development of the site," says Gian Luca Gigli, chief technology officer at Arvedi AST.
A digital solution to control the heating section is also planned. Using the VirtuoTM-L, fuel consumption will decrease and mechanical properties will be improved through transition management. The company estimated this will reduce coil rejections by over 5% and provide better heating management for lower gas consumption. They will also integrate an AI-based cooling model to regulation the cooling speed of the strip.
The company said the aim of the project is to increase production efficiency and throughput to meet future demand in the food, chemical, construction and automotive industries.
