Tata Steel Unveils Latest Sustainable Steel Production System in Europe

Various steel materials

Tata Steel recently announced on Thursday its latest sustainable technology, which could help alleviate the amount of carbon dioxide emitted during steel production. Industry experts from Wasatch Steel advocateĀ quality steel products are also one with other companies who aim to provide only the best product to meet the demands of their customers.

According to the Economic Times, the company’s HIsarna plant uses a new technology that uses a system in which iron ore is placed at the top portion of the machine. The iron ore is then turned into a liquid state by using a high-temperature cyclonic system and then lets it drip to the base portion of the machine where powder-like coal is then mixed. The entire process significantly diminishes the number of steps required in the basic steel making procedure.

The company also added that the tests done at its Ijmuiden site located in the Netherlands has shown that the technology can lead to a significant drop in C02 emissions coming from steel making.

Based on an article posted on Environmental Leader, at least 1.8 tons of carbon dioxide is produced for every ton of crude steel cast, and the gas emissions haven’t shown any changes since 2007.

Other companies are taking on the challenge

Other steel giants such as Algoma and Dofasco are now considering working with other universities in search of finding a technology that will help create smart factories designed to meet the demands of the global market.

Dofasco wants to improve its metallurgy process by automating its product development. According to The Globe and Mail, the company is eyeing on using artificial intelligence to help the production become more effective, generate better quality products, and become more energy efficient to be able to compete with today’s market.

Meanwhile, Algoma is trying to embrace the latest innovations to generate a more consistent data to be able to respond to the demands of its customers. Algoma planning on applying self-learning algorithmic models to help assess multiple information at once which can shorten a normal three-month process in just 15 days.