2020
DOI: 10.1016/j.jmatprotec.2020.116814
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Two-phase viscoplastic model for the simulation of twin roll casting

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Cited by 18 publications
(7 citation statements)
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“…Additional motivation of the present study is to verify a single-phase volume-averaging approach for the application to model a viscoplastic stress in the two-phase region during alloy solidification. On the contrary to the previously applied multiphase Eulerian-Eulerian volume-averaging model for the equiaxed crystal sedimentation [35][36][37] and the twin-roll casting process [38][39][40], the so-called mixture model is very robust, numerically stable and fast in sense of the calculation time required. As an advantage of the presented work, a full 3D model is considered including an SEN, a funnel-type thin slab mold (879 mm in height) and strand part (4000 mm along casting direction including mold).…”
Section: List Of Symbolsmentioning
confidence: 97%
See 1 more Smart Citation
“…Additional motivation of the present study is to verify a single-phase volume-averaging approach for the application to model a viscoplastic stress in the two-phase region during alloy solidification. On the contrary to the previously applied multiphase Eulerian-Eulerian volume-averaging model for the equiaxed crystal sedimentation [35][36][37] and the twin-roll casting process [38][39][40], the so-called mixture model is very robust, numerically stable and fast in sense of the calculation time required. As an advantage of the presented work, a full 3D model is considered including an SEN, a funnel-type thin slab mold (879 mm in height) and strand part (4000 mm along casting direction including mold).…”
Section: List Of Symbolsmentioning
confidence: 97%
“…Based on the previous experience of developing a numerical Eulerian-Eulerian model to simulate behavior of the packed bed of equiaxed crystals [35][36][37] and the macrosegregation during the twin roll casting [38][39][40], the viscoplastic stress model was applied to the thin slab casting by reducing it to the "mixture" formulation, which is more robust for the industrial scale simulations.…”
Section: Numerical Modelmentioning
confidence: 99%
“…It can be seen from the comparison in the figure that the simulation and the experiment show good consistency. To quantify the error between the experimental and numerical results, Root Mean Square Error (RMSE) [33] defined: (17) In the formula, Texp and Tsim are the outlet temperature values of the melt-pool obtained by experimental measurement and simulation calculation, respectively, and N is the number of test groups. According to the calculation of the equation, the TRMSE at the centerline of the melt-pool is 0.154, and the TRMSE at the exit surface of the melt-pool is 0.263.…”
Section: Experimental Verificationmentioning
confidence: 99%
“…They found that the casting temperature increase caused the rise of the strip temperature at the exit. Rodrigues et al [17] minimized the macrosegregation deviations in the strip and predicted an optimal strip quality in the TRC process. To increase the casting speed and expand the applicable range of alloys.…”
Section: Introductionmentioning
confidence: 99%
“…Several numerical models have been developed for the contact problem and air gap formation [20][21][22][23]. Deformation models coupled with the fluid flow, heat transfer, and solidification have been described elsewhere [24][25][26][27][28][29].…”
Section: Introductionmentioning
confidence: 99%