Correlation between the continuous casting parameters and secondary dendrite arm spacing in the mold region

Alizadeh, Mostafa

doi:10.1016/j.matlet.2012.09.108

Cited by 9 publications

(3 citation statements)

References 9 publications

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“…The superheat and specific heat of molten steel are added through the operation interface settings, and the heat flow is applied through the user-defined function. The hydrothermal physical properties of molten steel used in the simulation are shown in Table 1 [30]. It should be noted that, since the two-phase region is approximately treated as a porous medium, the heat transfer in the two-phase region can be approximately treated as the heat transfer in a porous medium.…”

Section: Boundary Conditions and Physical Parametersmentioning

confidence: 99%

Study on Mushy Zone Coefficient in Solidification Heat Transfer Mathematical Model of Thin Slab with High Casting Speed

Ding,

Xue,

Zhang

et al. 2023

Processes

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When the casting speed of the thin slab continuous caster is increased, the ratios of the solid and liquid phases in the solidification front of the molten steel in the mold change, which affects the thickness of the solidified shell. In order to accurately calculate the thickness of the solidified shell and determine the value range of the mushy zone coefficient suitable for the mathematical model of solidification heat transfer at high casting speed, this paper established the solidification heat transfer mathematical model in thin slab funnel mold, and the influence of different mushy zone coefficients on the accuracy of solidification heat transfer mathematical model was analyzed and compared with the actual solidified shell thickness. The results showed that, when the casting speed was increased to 4~6 m/min and the coefficient of the mush zone coefficient was 3 × 108~9 × 108 kg/(m3⋅s), the thickness of solidified shell calculated by the solidification heat transfer model was in good agreement with that measured in practice. The research in this paper provides an important reference for the establishment of the solidification heat transfer mathematical model at high casting speed in the future.

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Section: Boundary Conditions and Physical Parametersmentioning

confidence: 99%

Study on Mushy Zone Coefficient in Solidification Heat Transfer Mathematical Model of Thin Slab with High Casting Speed

Ding,

Xue,

Zhang

et al. 2023

Processes

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“…The dendritic structure formed during laser lap welding of Cu and Al depends on the fluid flow, temperature field, composition and cooling rate, which are affected by the welding parameters such as laser power and welding speed. The prediction of dendritic structure has been investigated since last decades and different models have been applied to evaluate the dendrite arm spacing [4][5][6][7][8][9][10][11][12][13] during solidification and casting of alloys.Several numerical models were built to predict the primary dendrite arm spacing (PDAS) [5,[7][8][9] , such as Hunt model, Kurz and Fisher model, Trivedi model, An and Liu model. They were used to predict the dendrite arm spacing during unidirectional solidification [1] .…”

mentioning

confidence: 99%

mentioning

confidence: 99%

Correlation between process parameters and primary dendrite arm spacing in laser welding of Cu and Al

Xue

Zuo

et al. 2014

Trans. Tianjin Univ.

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Abstract：A combined numerical model of thermal field and the primary dendrite arm spacing (PDAS) was proposed to correlate the process parameters and PDAS in laser welding of Cu and Al. The solidification parameters simulated by the finite volume method with commercial software ANASYS FLUENT were applied in the PDAS model to predict the dendrite arm spacing of fusion zone. Dendrite was also examined by the metallographic method to validate the model. Results indicate that the calculated PDAS agrees with metallographic measurements reasonably, especially the Hunt model. PDAS increases apparently with increasing laser power while decreases slightly with increasing welding speed. Increasing laser power increases the secondary dendrite and increasing welding speed increases the microporosity in dendrite.Dendrite was found in the Cu-Al welded joint, which affects the properties of joint directly [1][2][3][4] . The dendritic structure is characterized with dendrite arm spacing and morphology, which play a significant impact on mechanical properties. The dendritic structure formed during laser lap welding of Cu and Al depends on the fluid flow, temperature field, composition and cooling rate, which are affected by the welding parameters such as laser power and welding speed. The prediction of dendritic structure has been investigated since last decades and different models have been applied to evaluate the dendrite arm spacing [4][5][6][7][8][9][10][11][12][13] during solidification and casting of alloys.Several numerical models were built to predict the primary dendrite arm spacing (PDAS) [5,[7][8][9] , such as Hunt model, Kurz and Fisher model, Trivedi model, An and Liu model. They were used to predict the dendrite arm spacing during unidirectional solidification [1] . Also, experiments were carried out to validate the simulation results. Both the simulation and experimental results showed that the PDAS decreased obviously with the increase of cooling rate. Hunt model considering the spacing selection mechanism was developed to predict dendrite spacing and the transition between structures during solidification [14] . The numerical results agreed well with the experiment at both low and high welding speeds.However, the PDAS prediction during laser welding of dissimilar couples Cu and Al by theoretical model based on thermal parameters and geometrical relations has not been reported. In the present work, the thermal parameters simulated with ANASYS FLUENT were applied in the PDAS models to predict the PDAS under different welding conditions. The dendrite of Cu-Al lap joints under different welding conditions was examined by scanning electron microscope (SEM)to validate the models and to explore the effect of welding parameters on the dendritic structure. Numerical modelNumerical simulation on the heat transfer, fluid flow, species transfer, melting and solidification was performed to obtain the welding pool thermal parameters such as temperature gradient, cooling rate and composition distribution, which were applied i...

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Numerical modeling and simulation of water cooling-controlled solidification for aluminum alloy investment casting

Zhang

Wang

2016

Int J Adv Manuf Technol

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Correlation between the continuous casting parameters and secondary dendrite arm spacing in the mold region

Cited by 9 publications

References 9 publications

Study on Mushy Zone Coefficient in Solidification Heat Transfer Mathematical Model of Thin Slab with High Casting Speed

Study on Mushy Zone Coefficient in Solidification Heat Transfer Mathematical Model of Thin Slab with High Casting Speed

Correlation between process parameters and primary dendrite arm spacing in laser welding of Cu and Al

Numerical modeling and simulation of water cooling-controlled solidification for aluminum alloy investment casting

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