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Research On Gas Based Direct Reduction Shaft Furnace Flow Field And Optimization

Posted on:2014-07-23Degree:MasterType:Thesis
Country:ChinaCandidate:Y M PuFull Text:PDF
GTID:2251330422466714Subject:Heavy equipment design theory of digital technology
Abstract/Summary:PDF Full Text Request
World direct reduced iron technology increasing development, gas-based directreduction shaft furnace processes and equipment are becoming more mature and improve,while China’s lack of natural resources, so the coal gas gas-based direct reduction shaftfurnace technology and equipment research very significance. Against this backgroundthis paper based direct reduction process gas main equipment-shaft furnace flow field.The gas distribution in Direct Reduction Iron Shaft Furnace has an importantinfluence on DRI production process. Using the fluid analysis software, the distribution ofreducing gas flow and relative influencing factors in DRI shaft furnace are studied in thispaper. In the simulation analysis pellets are simplified as porous media. The viscousresistance coefficient and inertial resistance coefficient measured in the experiment areused as the basic input parameters of the simulation process. The calculation results by theneural network to find the mapping relationship between the reduction part averagepressure, transition part average velocity and the gas-based direct reduction shaft furnaceprocess parameters. Finally, the shaft furnace ideal air distribution influencing factors areobtained through the calculation results by genetic algorithm optimization. The resultsshow that the airflow distribution in the furnace has a direct relationship with the state ofthe factors which include the furnace top pressure and cooling gas outlet pressure. Theyimpact the reasonability of the flow field in the shaft furnace.
Keywords/Search Tags:DRI shaft furnace, gas distribution, porous media, response surface, geneticalgorithm, optimistic
PDF Full Text Request
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