BFI and Steel Academy are holding a workshop on 24 September 2024 as part of the RFCS project ReduHeatLoss. The […]
BFI and Steel Academy are holding a workshop on 24 September 2024 as part of the RFCS project ReduHeatLoss. The […]
The aim of the EU-funded ZHyRON project is to develop a new process for recycling by-products from steel production based […]
Together with thyssenkrupp Steel and the plant manufacturer TS Elino, the BFI has started work on the construction of the […]
Material efficiency and recycling of solid and liquid resources as well as residual and valuable materials are the basis for sustainable development in Europe. We work together with you to develop economical solutions for your business.
The reduction of energy requirements and emissions, such as CO2, are important political climate issues that we want to achieve together with the process industry and plant engineering through new solutions.
The transfer of the concepts of industry 4.0 into the operational practice of the process industry is a concern for us. Innovative measuring and testing technology forms the basis in many areas.
We open up optimization potentials for operational individual processes and process chains and focus on resource efficiency, quality, productivity, profitability and environmental aspects.
We offer innovative ideas based on cutting-edge research which are translated into customized, operational solutions for the process industry. We see ourselves as a dynamic, customer-oriented and innovative partner for forward-looking innovative companies.
We strive for partnerships and projects in the following four fields which are of strategic importance for the BFI:
(1) Decarbonization and energy efficiency,
(2) Digitalization, Industry 4.0 and measurement technology,
(3) Circular economy,
(4) Process innovation and process optimization
Initial situation: Due to the use of modern measuring systems, increasingly high-resolution (HR) data are collected along the entire process […]
Communication between autonomous systems requires a common language and uniform semantics. Furthermore, due to the increasing complexity of the entire […]
Your goals: Under operating conditions (furnace atmosphere, temperature, times) Determination of scale constants Determination of decarburization tendency Selection of suitable […]
Initial situation: The measurement of a representative melt temperature which is the average value of the entire melt, is of […]
Situation: During rolling, straightening and thermal processing of long products internal stresses arise impairing the products material properties and causing […]
Deep Learning aims to improve the automatic quality assessment of steel products by means of a holistic approach combining deep […]
Initial situation Conflicts of water use due to increasing water demand from population growth and industrial development combined with inadequate […]
Initial situation: Industries involve a huge amount of energy demand. A considerable amount of this energy is lost and escapes […]