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Ponten H.-J.,PSI Metals GmbH | Kleimt B.,BFI VDEh Betriebsforschungsinstitut GmbH
Iron and Steel Technology | Year: 2011

The development of an integrated system of heat schedule prediction and temperature development to control the energy consumption of a heat is discussed. The adjustment of the BOF tapping temperature or the energy input in the ladle furnace is optimized according to the current workload. The objective of the system is to provide an integrated and centralized functionality to manage all technological know-how for on-line production and quality control, and to combine this with an optimization of production scheduling and temperature control to increase the quality, stability and reliability of the entire production process. Depending on the production route, the system should enable and help the scheduler to optimize various targets with regard to quality, cost, time and productivity. For instance, throughput optimization usually requires greater energy expenditure to treat as many heats as possible when the facilities are working at full capacity. Source

Peters H.,BFI VDEh Betriebsforschungsinstitut GmbH | Ebel A.,BFI VDEh Betriebsforschungsinstitut GmbH | Holzknecht N.,BFI VDEh Betriebsforschungsinstitut GmbH | Link N.,BFI VDEh Betriebsforschungsinstitut GmbH | And 4 more authors.
Stahl und Eisen | Year: 2012

The continuous improvement of all steel production processes regarding the avoidance of quality deficiencies and the related improvement of production yield is an essential task of each steel producer. Therefore and within the framework of the Zero-Defect strategy popular today, several quality assurance techniques are used. The present report explains in this context the method of Data Mining and describes its application in the industrial environment and here especially in the steel industry. Beside a description of the general procedure different approaches for the realization of the necessary software tools are presented. Source

Colla V.,SantAnna School of Advanced Studies | Cirilli F.,Centro Sviluppo Materiali S.p.A | Kleimt B.,BFI VDEh Betriebsforschungsinstitut GmbH | Unamuno I.,GERDAU ID Basauri | And 5 more authors.
Materiaux et Techniques | Year: 2016

The problem of rating the environmental impact of industrial plants has been widely studied in recent years with a specific focus on CO2 emission and energy consumption. On the contrary, only limited attention has been paid to the evaluation of the resource efficiency and overall environmental impact of industrial plants. This paper presents the first results of the research project entitled "Environmental Impact Evaluation and Effective Management of Resources in the EAF Steelmaking" (EIRES), which aims at a plant-oriented approach with an internal reporting of environmental and energy issues. For this purpose, several Key Performance Indicators (KPIs) have been selected both from literature and operational practices, which can be easily interpreted by plant operators and managers. Furthermore a software tool has been implemented which allows to follow the evolution of these KPIs over time. The tool is not intended to compare the environmental performance of different companies, but to provide a practical support to the personnel of each single steelwork, in order to have an updated overview on the way the processes in the plant are operated from an environmental perspective and in order to identify measures and modifications of operational practices allowing to lower the environmental footprint of the production cycle. © 2016 EDP Sciences. Source

Muller U.,BFI VDEh Betriebsforschungsinstitut GmbH | Sievering R.,BFI VDEh Betriebsforschungsinstitut GmbH | Wuppermann C.-D.,Cdwuppermann Innovation and Strategy CD WIS
Proceedings of the 10th International Conference on Steel Rolling | Year: 2010

Defined product properties at moderate production costs besides high energy efficiency and a maximum of environmental sustainability will be the key factor for successful competition in globalised markets. These properties, however, are influenced by the material itself, processing technology used in the plants during hot and cold rolling and by the relevant equipment used. Future challenges will be overcome by the development of new processes, plants, control systems etc. for future products, the increase of the reliability of systems, the development of adaptable standard solutions and the standardization of interfaces. New aspects have to be considered into the human-machine interfaces to integrate operator knowledge and experiences into the control system of the process; achieving an optimum from the product, machinery and process hence avoiding defects. Source

Neuer M.J.,BFI VDEh Betriebsforschungsinstitut GmbH | Jacobs E.,Software Development
IEEE Transactions on Nuclear Science | Year: 2014

The shape of the nuclear signal from scintillators contains information about the detection material from which it originated and its current temperature. A digital filter for this type of signals is presented that automatically extracts both of these pieces of information from the shape of the signals and controls the temperature dependency of the resolution by continuous adaption to this shape. Hereby, nuclear signals are a-priori modelled by an all-pole filter. The concept combines a deconvolution approach based on this model with a least-mean-squares iteration. Beneath the iteration, there is a continuous assessment of the signal shape where the mean-squared distance between the assumed shape and measured shape acts as control parameter for the resolution. From the information stored inside the dynamic filter parameters, the material characteristics are retrieved to identify the detector material. An implementation into a multi-channel-analyser is shown and the technique is verified under real-world environmental conditions. © 1963-2012 IEEE. Source

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