DEVELOPMENT OF MATHEMATICAL PREDICTIVE MODEL COUPLED WITH NEURAL NETWORKSMOOTHING ALGORITHMS TO OPTIMISE OPERATING CONDITIONS AND IMPROVE ENERGY EFFICIENCY OF ROTARY KILN &ELECTRIC ARC FURNACES IN FERRONICKEL PRODUCTION PLANTS

Ref.No: 68116800
Start date: 19.04.2013
End date: 31.10.2015
Approval date: 06.06.2013
Department: MINING AND METALLURGICAL ENGINEERING
Sector: METALLURGY AND MATERIALS TECHNOLOGY
Financier: ΕΣΠΑ 2007-2013, G.G.E.T.
Budget: 821.421,40 €
Scientific Responsible: Prof. XENIDIS
Email: axen@central.ntua.gr
Description: TWO MAIN PROCESSES ARE APPLIED FOR THE PYROMETALLOURGICAL PRODUCTION OF FERRONICKEL FROM LATERITIC INVOLVING REDUCTIVE ROASTING IN ROTARY KILN FURNACES AND REDUCTIVE SMELTING IN ELECTRIC ARC FURNACES.THE QUALITY OF THE PARTIALLY REDUCED IN R/KS LATERITI
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