Mixing Models for Slag Covered, Argon Stirred Ladles
スポンサーリンク
概要
- 論文の詳細を見る
Ninety-five percent bulk mixing times were determined experimentally in water models (D=0.30 m and D=0.60 m respectively) of a 140 T industrial ladle fitted with dual ‘plugs’ (located diametrically opposite at mid bath radius position) in the presence of an overlying, second phase liquid. Experiments were conducted to investigate the influences of gas flow rate, liquid depth, thickness of the upper phase liquid together with the latters physical properties on mixing time. Within the range of variables studied, it is observed that besides gas flow rate, liquid depth and vessel radius, thickness of the upper phase liquid has the most significant bearing on mixing times. In contrast, considerably less pronounced effect of density and viscosity on mixing was noted. Dimensional analysis and regression of the experimental data show that 95% bulk mixing times in slag covered, dual plug fitted ladles can be described, in terms of relevant dimensionless groups, via: <center><a href="http://ess.jstage.jst.go.jp/preview/article/isijinternational/50/8/50_1117/_appendix/1">[Equation]</a></center>in which, Q is the gas flow rate, L is the depth of liquid, R is the vessel radius, ΔL is the thickness of the overlying liquid, ρL is the density of the bulk liquid and νs is the kinematic viscosity of the upper or slag phase.Mixing correlations applicable to slag covered, dual plug fitted ladle and its slag free counterpart were found to bear striking similarity. This, as a possibility, suggests that embodying an additional factor, (<6(ΔL/L)0.3νs0.033(Δρ/ρL)−0.044) into a mixing correlation applicable to a slag free, gas stirred ladle, a correlation for an equivalent slag covered system can be derived. The hypothesis has been tested against axi-symmetrical gas stirred ladle system and towards this, relevant experimental measurements, mixing correlations etc. reported on such systems were applied. These suggest that 95% bulk mixing time in slag covered, axisymmetrical ladles can indeed be predicted reasonably well embodying the aforementioned addition factor into an existing correlation applicable to an equivalent slag free system.
- 2010-08-15
著者
-
Patil Sujay
Department of Materials Science and Engineering, Indian Institute of Technology
-
Satish Davviru
Department of Materials Science and Engineering, Indian Institute of Technology
-
Peranandhanathan M.
Department of Materials Science and Engineering, Indian Institute of Technology
-
Mazumdar Dipak
Department of Materials Science and Engineering, Indian Institute of Technology
-
Mazumdar Dipak
Department Of Materials & Metallurgical Engineering Indian Institute Of Technology
-
Patil Sujay
Department Of Materials Science And Engineering Indian Institute Of Technology
-
Mazumdar Dipak
Department Of Materials Science And Engineering Indian Institute Of Technology
-
Satish Davviru
Department Of Materials Science And Engineering Indian Institute Of Technology
-
Peranandhanathan M.
Department Of Materials Science And Engineering Indian Institute Of Technology
関連論文
- Mixing Models for Slag Covered, Argon Stirred Ladles
- An Assessment of Fluid Flow Modelling and Residence Time Distribution Phenomena in Steelmaking Tundish Systems
- Transient Flow and Mixing in Steelmaking Ladles during the Initial Period of Gas Stirring
- Modeling of Fluid Flow and Residence Time Distribution in a Four-strand Tundish for Enhancing Inclusion Removal
- Basis for Systematic Hydrodynamic Analysis of a Multi-strand Tundish
- A Comparative Study of Mixing Phenomena in Gas Stirred Ladle Systems
- Mathematical Modeling and Validation of Wall Shear Stress in Gas Stirred Vessels
- Mixing Models for Slag Covered, Argon Stirred Ladles
- Modeling of Slag Eye Area in Argon Stirred Ladles
- Impact of Ladle Design on Bath Mixing
- The Physical and Mathematical Modelling of Continuous Casting Tundish Systems
- DImensional Analysis and Mixing Phenomena in Bubble Stirred Ladles
- The Physical and Mathematical Modelling of Gas Stirred Ladle Systems.
- Comparison of Several Numerical Prediction Methods for Thermal Fields during Phase Transformation of Plain Carbon Steels.