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Selection of Optimal Ingredients for Out-of-furnace Smelting Based on Computer Application
Author(s) -
Yi He
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1533/2/022006
Subject(s) - blast furnace , smelting , selection (genetic algorithm) , linear programming , computer science , matching (statistics) , set (abstract data type) , process engineering , balance (ability) , software , mathematical optimization , engineering , metallurgy , mathematics , materials science , algorithm , artificial intelligence , medicine , statistics , physical medicine and rehabilitation , programming language
The optimization system software of the blast furnace batching studied in this paper is a complete set of blast furnace batching problem solutions. Its theory is based on the classic material balance and heat balance equations of blast furnace smelting. Blast furnace batching calculations used by most domestic steel companies are mainly based on forward calculation plus verification adjustment. Optimization of blast furnace batching based on linear programming the system can effectively improve calculation efficiency, and provide clear and unique optimization for blast furnace operators in all experience levels matching scheme.

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