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Prediction Model Of Intermixing Slab Location And Length In Continuous Casting Grade Transition Process

Posted on:2013-11-23Degree:MasterType:Thesis
Country:ChinaCandidate:J H BiFull Text:PDF
GTID:2231330362474498Subject:Metallurgical engineering
Abstract/Summary:PDF Full Text Request
With the higher demand to the flexibility and the production efficiency of thecontinuous casting, more and more steel begin to produce the continuously caster slabof different grade on the wide plate caster, in order to reduce the working times of theauxiliary production equipment and improve the work rate of the pure casting steel. Butduring grade transition, due to the difference components, would produce theintermixing slab. the intermixing slabs need to downgrade. So it is very important toaccurately predict the location and length of the intermixing slab. In this study, physicalmodeling and numerical simulation are used to study the grade transition casting, basedon the casting process and the dimensionless concentration relationship, regressionanalysis and interpolation are used to build prediction model. Through the actualcomposition of molten steel and steel standard, the prediction model can predict theposition and length of the intermixing slab at different sections, drawing speed and theweight of residual molten steel.Study on dimensionless concentration curve,the following conclusions show:Increase pouring steel quantity and reduce the will both reduce the intermixing slablength. What’s more, the pouring steel quantity caused a21%difference and the weightof residual molten steel caused a73%difference on dimensionless concentration at thesame time. This conclusions show that the weight of residual molten steel in tundish hassignificant effect on the length of intermixing slab than drawing speed. In production, itcan reduce the intermixing slab length by reducing tundish residual molten steel weightand reduce pouring steel quantity a certain range. But reduce the weight of residualmolten steel is more effective.Model predictions with the actual sampling results, the prediction model canachieve a good accuracy, the error is6%. This shows that it is a good way to modelingby using physical simulation, numerical simulation and sampling. This presents a morereasonable research method to study the intermixing slab.
Keywords/Search Tags:grade transition, pouring steel quantities, residual molten steel in tundish, location of intermixing slab, prediction model
PDF Full Text Request
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