News

VDEh-Betriebsforschungsinstitut (BFI) with new dual leadership

Düsseldorf. The VDEh-Betriebsforschungsinstitut (BFI) has a new top management: Michael Hensmann (58) and Dr. Matthias Kozariszczuk (51) are the new […]

7th project meeting DESTINY

On November 22nd and 23rd, 2022 the 7th project meeting for the SPIRE project “Development of an efficient microwave system […]

RFCS project “Embedded real-time analysis of continuous casting for machine-supported quality optimisation” (RealTimeCastSupport)

The second meeting for the RFCS project “Embedded real-time analysis of continuous casting for machine-supported quality optimisation” (RealTimeCastSupport) took place […]

Topics

Our services

Our mission

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

Solutions

Concepts for reducing friction and wear

Your goals: Optimization of components with regard to wear resistance Selection and evaluation of optimal materials and coatings Optimization of […]

1 MW pilot plant

Your goals: Examination of burners, components and devices under operating conditions in trial operation with process and metallurgical gases from […]

Process models blast furnace frame

Your goals: Determination of the gap and position of the dead man Determination of filling level in the baking rack […]

Knowledge management through semantic modeling

Communication between autonomous systems requires a common language and uniform semantics. Furthermore, due to the increasing complexity of the entire […]

Projects

DeepQuality – Use of robust deep learning methods for the automatic quality assessment of steel products

Deep Learning aims to improve the automatic quality assessment of steel products by means of a holistic approach combining deep […]

OptProKomp

OptProKomp – Optimized process chain for the generation of demand-oriented material properties for extremely loaded machine and plant components Situation: […]

Nanocarbides II – Influence of deep cryogenic treatment on distortion, corrosion and fracture toughness

Initial Position / Aims: In a previous project, high-alloy steels from the hot work, cold work and plastic moulding sectors […]

H2Stahl – Hydrogen technologies for a successive decarbonisation of the steel industry

The objective of the project H2Stahl coordinated by BFI is a far-reaching conversion of the steel industry to hydrogen technologies. […]

DynaWater4.0 – Dynamic value creation networks through digital collaboration between industrial water management and production

Initial situation Automation, networking and digital technologies are transformation drivers of process water treatment Coordination of production processes and process […]