Filtration Permeability of Dendritic Structure in Condition of Diffusion-Capillary Coalescence of Secondary Side Branches

Artem Kim; Ludmila Jurievna Dobosh; Valeri Mikhailovich Golod

doi:10.4028/www.scientific.net/KEM.822.23

Paper Titles

Preface

Structure Diagnostic of Iron-Based Out-of-Peritectic Alloys during Nonequilibrium Crystallization
p.3

The End-to-End Simulation of Semi-Continuous Casting and Subsequent Hot Rolling with Account of Microstructure
p.11

Research of the Causes of the Defect "Sliver" on the Inner Surface of the Steel Pipe Strength Category Х70
p.16

Filtration Permeability of Dendritic Structure in Condition of Diffusion-Capillary Coalescence of Secondary Side Branches
p.23

Phosphorus Removal Options at Induction Melting of Steel
p.30

Modification of Nitrogen-Containing High-Chromium Steels by Nanosized Lanthanum Hexaboride
p.37

Formulas for the Calculation of Temperatures and Concentrations of Carbon Responsible to the Parar Equilibrium of the Main Phases in Medium Sheet Steels
p.44

Homogenization of Cr-Ni Austenitic Steel Studying: Liquation and Microhardness Heterogeneity Equalization
p.53

HomeKey Engineering MaterialsKey Engineering Materials Vol. 822Filtration Permeability of Dendritic Structure in...

Filtration Permeability of Dendritic Structure in Condition of Diffusion-Capillary Coalescence of Secondary Side Branches

Abstract:

The problem state of computer analysis of shrinkage defects in castings is analysed based on a review of theoretical and experimental studies the filtration permeability of solidifying alloys. It is shown that the use of the dimensionless permeability coefficient and its modification by introducing various corrections to the Karman-Kozeni equation, obtained for the stationary morphology of non-intersecting filtration channels, is inapplicable for the conditions of continuous change of their geometry during formation of dendrite structure. A computer model of the permeability for the mesoscale ensemble of secondary dendritic branches under the conditions of their diffusion-capillary coalescence is developed. Based on the thermodynamic apparatus and solidification modeling the influence of composition of Al-Cu-Mg alloys and heat removal velocity on the permeability coefficient under the evolution of the dendritic structure is analysed.

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Periodical:

Key Engineering Materials (Volume 822)

Pages:

23-29

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.822.23

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Online since:

September 2019

Authors:

Artem Kim, Ludmila Jurievna Dobosh, Valeri Mikhailovich Golod*

Keywords:

Coalescence of Dendritic Arms, Coefficient of Permeability, Computer Modeling, Dendrite Arm Spacing, Dendritic Structure, Fraction of Solid Phase, Solidification of Alloys

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References

[1] K.D. Carlson et al., Development of new feeding-distance rules using casting simulation: Part I. Methodology, Metall. Mater. Trans., 33B, (2002) 731–740.

DOI: 10.1007/s11663-002-0027-0

Google Scholar

[2] V.М. Gоlоd, K.D. Saveliev, А.S. Basin, Modelling and computer analysis the crystallization of iron-based multicomponent alloys, Publishing house, Polytechnic. Univ, Saint-Petersburg (2008).

Google Scholar

[3] V.М. Gоlоd, K.I. Emelijanov, Criterial analysis of porosity in castings: real possibilities and prospects, Proceed. XII Foundry Congress, NSTU n.a. R.E. Alekseev, Nizhny Novgorod (2015).

Google Scholar

[4] R.P. Taylor, J. Shenefelt, J. Berry and R. Luck, Comparison and criticism of casting criteria functions, Trans Amer. Foundrym.Soc., 110, (2003) 315-330.

Google Scholar

[5] A.E. Scheidegger, Physics of fluid flow through porous media, transl. from English, Moscow, Gostoptekhizdat (1960).

Google Scholar

[6] A.V. Lykov, Heat and mass transfer, Handbook, Moscow, Energy (1978).

Google Scholar

[7] Ø. Nielsen, L. Arnberg, A. Mo and H. Thevik, Experimental determination of mushy zone permeability in aluminium-copper alloys with equiaxed microstructure, Metall. Mater. Trans. 30A (1999) 2455-2462.

DOI: 10.1007/s11661-999-0254-y

Google Scholar

[8] P.K. Sung, D.R. Poirier, S.D. Fellicelli, Continuum model for predicting microporosity in steel castings, Modell. Simul. Mater. Sci. Eng. 10 (2002) 551-568.

DOI: 10.1088/0965-0393/10/5/306

Google Scholar

[9] E. Khajeh, D. Maijer, Physical and numerical characterization of the near-eutectic permeability of aluminum-copper alloys, Acta Mater., 58 (2010) 6334-6344.

DOI: 10.1016/j.actamat.2010.07.055

Google Scholar

[10] M.S. Bhat, D.R. Poirier, J.C. Heinrich, Permeability for cross flow through columnar-dendritic alloys, Metall. Mater. Trans. 30B (1995) 1049-1056.

DOI: 10.1007/bf02654107

Google Scholar

[11] V.M. Golod, L.Yu. Dobosh, Computational materials science of structural - phase transformations in casting aluminum alloys, Int. Conf. Structural and Phase Transformations in Materials: Theory, Computer Modelling and Experiment,, 23–27 March 2017, Ekaterinburg, Russia, IOP Conference Series, Materials Science and Engineering, 192 (2017) 012027.

DOI: 10.1088/1757-899x/192/1/012027

Google Scholar

[12] L.Yu. Dobosh, V.M. Golod, K.D. Saveliev, Assessment the model adequacy of the additive components influence on the crystallization of aluminum alloys, Proceed. 10 Int. sci.-pract. conf. Foundry production today and tomorrow, Saint-Petersburg, SPbGPU, Publishing house (2014), 366-376.

Google Scholar

[13] J. Campbell, Castings, second edit., Elsevier Science (2003).

Google Scholar

[14] A.Kumar, M. Zaloznik, H. Combeau, Study of the influence of mushy zone permeability laws on macro and meso-segregation predictions, Int. J. Therm. Sci., 54 (2012) 33-47.

DOI: 10.1016/j.ijthermalsci.2011.11.014

Google Scholar