Above burden & in burden probe data interpretation by neural network based model to improve blast furnace control

Project Information

Grant agreement ID: 7210-PR-073

Project closed

Start date 1 July 1998

End date 30 June 2001

Funded under

• Medium-term guidelines for the ECSC steel RTD programme of research and pilot/demonstration projects, 1996-2002

Total cost € 1 433 333,00

EU contribution € 860 000,00

Coordinated by

CENTRO NACIONAL DE INVESTIGACIONES METALURGICAS
Spain

Objective

The objective of the present proposal is to investigate the application of fuzzy logic and neural network-based systems for control of iron-making processes. Such objective relates in particular to control blast furnace parameters, such as data supplied by the above burden probes as well as advisory systems that aid in recognition of the relationships between these sensing devices and cohesive zone shape, burden materials, top level temperature distribution and other factors with an aim to optimise their use for the process control.

Programme(s)

• ECSC-STEEL C - Medium-term guidelines for the ECSC steel RTD programme of research and pilot/demonstration projects, 1996-2002

Topic(s)

• B - Reduction of iron ores

Call for proposal

Data not available

Funding Scheme

CSC - Cost-sharing contracts

Coordinator

CENTRO NACIONAL DE INVESTIGACIONES METALURGICAS

• EU contribution: No data
• Address: Avenida Gregorio del Amo 8 ; 28040 MADRID ; Spain
• Total cost: No data

Participants (4)

ACERALIA CORPORACION SIDERURGICA

Spain

• EU contribution: No data
• Address: Centro de Desarrollo Tecnológico Apartado 90 ; 33480 AVILES
• Total cost: No data

CENTRO SVILUPPO MATERIALI SPA

Italy

• EU contribution: No data
• Address: Via di Castel Romano 100/102 ; 00128 ROMA EUR
• Total cost: No data

Dillinger Hüttenwerke AG

Germany

• EU contribution: No data
• Address: 66748 Dillingen
• Total cost: No data

RAUTARUUKKI OYJ, CORPORATE R & D

Finland

• EU contribution: No data
• Address: 92101 RAAHE
• Total cost: No data