Results of the Application of the Mdn in the Improvement of the Design of an Electrical Furnace that produces Low Carbon Ferromanganese

スポンサーリンク

概要

• 論文の詳細を見る

• Improvements developed in an electric furnace design for the production of refined ferromanganese (low carbon ferromanganese), using the Nodal Wear Model (NWM), are detailed in this paper.Likewise, the NWM can be used as an instrument which is able to simulate situations that have not yet been carried out on industrial scale and to predict, for example, the performance of the electric furnace lining, under operational conditions that could form a cold wall/bottom.Finally, the NWM has been applied to simulate and predict (refractory repair consumption) the operations of patching or hot repair during the furnace campaign.

• 社団法人 日本鉄鋼協会の論文
• 2010-03-15

著者

• Ruiz-Bustinza Iñigo

  Centro Nacional de Investigaciones Metalúrgicas (CSIC-CENIM)

• Duarte Ramon

  Centro Nacional de Investigaciones Metalúrgicas (CSIC-CENIM)

• Ruiz-bustinza Inigo

  Centro Nacional De Investigaciones Metalurgicas (csic/cenim)

• Mochon Javier

  Centro Nacional De Investigaciones Metalugicas C/gregorio Del Amo

• Mochon Javier

  Centro Nacional De Investigaciones Metalurgicas (csic/cenim)

• Verdeja Luis

  Group Of Investigation In Iron And Steel Industry Metallurgy And Materials School Of Mines Universit

• Duarte Ramon

  Centro Nacional De Investigaciones Metalurgicas (csic/cenim)

• SANCHO Jose

  Group of Investigation in Iron and Steel Industry, Metallurgy and Materials, School of Mines, Univer

• MARINAS Erika

  Group of Investigation in Iron and Steel Industry, Metallurgy and Materials, School of Mines, Univer

• BARBES Miguel

  Group of Investigation in Iron and Steel Industry, Metallurgy and Materials, School of Mines, Univer

• Sancho Jose

  Group Of Investigation In Iron And Steel Industry Metallurgy And Materials School Of Mines Universit

• Marinas Erika

  Group Of Investigation In Iron And Steel Industry Metallurgy And Materials School Of Mines Universit

• Barbes Miguel

  Group Of Investigation In Iron And Steel Industry Metallurgy And Materials School Of Mines Universit

関連論文

• A New “User-friendly” Blast Furnace Advisory Control System Using a Neural Network Temperature Profile Classifier
• A New "User-friendly" Blast Furnace Advisory Control System Using a Neural Network Temperature Profile Classifier
• Blast Furnace Hot Metal Temperature Prediction through Neural Networks-Based Models
• Mathematical Model of Gas Flow Distribution in a Scale Model of a Blast Furnace Shaft
• Burden Distribution Analysis by Digital Image Processing in a Scale Model of a Blast Furnace Shaft
• Results of the Application of the Mdn in the Improvement of the Design of an Electrical Furnace that produces Low Carbon Ferromanganese
• The Influence of Different Iron Ores Mixtures Composition on the Quality of Sinter
• Fuzzy Control of Micum Strength for Iron Ore Sinter

スポンサーリンク