Investigation on Liquid Segregation during Rheo-Casting Process Based on Eulerian-Granular Multiphase Model

Abstract:

Article Preview

A crucial problem concerned with the semi-solid forming process is the liquid segregation phenomena during shape formation, especially for rheo-casting process. Liquid segregation occurs due to the separation phenomena of the solid grain and the liquid phase. In this work, using commercial finite element software, the liquid segregation during rheo-casting process was numerically investigated by Eulerian-granular multiphase model based on the comparable results of single phase model, Eulerian-granular two-phase and three-phase model, along with Eulerian-granular DDPM three-phase model. In the study, solid grains and liquid phases were regarded as rigid material and non-Newtonian fluid at microscale, separately. This validation was experimentally proved and also compared to the proposed relationship of power law, Herschel-Bulkley model with yield stress at macroscale.

Info:

Periodical:

Solid State Phenomena (Volume 256)

Edited by:

Ahmed Rassili

Pages:

113-118

Citation:

J. J. Wang et al., "Investigation on Liquid Segregation during Rheo-Casting Process Based on Eulerian-Granular Multiphase Model", Solid State Phenomena, Vol. 256, pp. 113-118, 2016

Online since:

September 2016

Export:

Price:

$38.00

* - Corresponding Author

[1] J. J. Wang, G. M. Lu, J. G. Yu. Numerical Analysis of Semi-Solid Die-Casting Automobile Part Based on the Thermo-Visco-Plastic Constitutive Relation, Adv. Mater. Res. 1096 (2015) 268-274.

DOI: https://doi.org/10.4028/www.scientific.net/amr.1096.268

[2] Z. Hu, W. Lu, M. D. Thouless, J. R. Barber, 2016. Effect of plastic deformation on the evolution of wear and local stress fields in fretting, Int. J. Solids Struct. 82(2016) 1-8.

DOI: https://doi.org/10.1016/j.ijsolstr.2015.12.031

[3] J. Zhang, J. Johnston, A. Chattopadhyay, Physics-based multiscale damage criterion for fatigue crack prediction in aluminium alloy, Fatig. Fract. Eng. Mater. Struct. 37(2014) 119-131.

DOI: https://doi.org/10.1111/ffe.12090

[4] J. Zhang, K. Liu, C. Luo, A. Chattopadhyay, Crack initiation and fatigue life prediction on aluminum lug joints using statistical volume element-based multiscale modelling, J. Intell. Mater. Syst. Struct. 24(2013) 2097-2109.

DOI: https://doi.org/10.1177/1045389x12457835

[5] W. Cai, J. Chan, D. Garmire. 3-axes MEMS Hall-effect sensor, In 2011 IEEE Sensors Applications Symposium. (2011).

DOI: https://doi.org/10.1109/sas.2011.5739801

[6] W. Cai, L. Huang, N. S. Wu, Class E Power Amplifier for Wireless Medical Sensor Network, Int. J. Enhan. Res. Sci. Tech. Eng. 5 (2016) 145-150.

[7] J. J. Wang, S. Z. Shang, G. M. Lu, J. G. Yu. Viscosity estimation of semi-solid alloys based on thermal simulation compression tests, Int. J. Mater. Res. 104 (2013) 255-259.

DOI: https://doi.org/10.3139/146.110858

[8] V. Favier, H. V. Atkinson, Micromechanical modelling of the elastic-viscoplastic response of metallic alloys under rapid compression in the semi-solid state, Acta Metall. (2011) 1271-1280.

DOI: https://doi.org/10.1016/j.actamat.2010.10.059

[9] W. Cai, L. L. Gouveia, Modeling and Simulation of Maximum Power Point Tracker in Ptolemy, J. Clean Energy Tech. 1(2013) 6-9.

DOI: https://doi.org/10.7763/jocet.2013.v1.2

[10] J. Zhang, B. Koo, N. Subramanian, Y. Liu, A. Chattopadhyay, An optimized cross-linked network model to simulate the linear elastic material response of a smart polymer, J. Intell. Mater. Syst. Struct. (2015) 1045389X15595292.

DOI: https://doi.org/10.1177/1045389x15595292

[11] V. Narayanunni, H. Gu, C. Yu, Monte Carlo simulation for investigating influence of junction and nanofiber properties on electrical conductivity of segregated-network nanocomposites. Acta Mater. 59(2011) 4548-4555.

DOI: https://doi.org/10.1016/j.actamat.2011.04.001

[12] L.H. Meng, Finite Element Simulation of High Speed Machining of Ti6Al4V Alloy and the Corresponding Experimental Study. In Materials Science Forum. Trans Tech Publications. 2016, pp.444-451.

DOI: https://doi.org/10.4028/www.scientific.net/msf.836-837.444

[13] W. Cai, X. Zhou, X. Cui, Optimization of a GPU Implementation of Multi-Dimensional RF Pulse Design Algorithm. In Bioinformatics and Biomedical Engineering, (iCBBE) 5th International Conference. IEEE. 2011, pp.1-4.

DOI: https://doi.org/10.1109/icbbe.2011.5780360

[14] J. Zhang, B. Koo, Y. Liu, J. Zou, A. Chattopadhyay, L. Dai, A novel statistical spring-bead based network model for self-sensing smart polymer materials, Smar. Mater. Struct. 24(2015) 085022.

DOI: https://doi.org/10.1088/0964-1726/24/8/085022

[15] T. W. Asegehegn, H. J. Krautz, M. Schreiber, Numerical Simulation of Dense Gas-Solid Multiphase Flows Using Eulerian-Eulerian Two-Fluid Model. INTECH Open Access Publisher, (2011).

DOI: https://doi.org/10.5772/24244

[16] J. J. Wang, D. Brabazon, A.B. Phillion, G. M. Lu. An innovative two-stage reheating process for wrought aluminum alloy during thixoforming [J], Metall. Mater. Trans. A 46 (2015) 4191-4201.

DOI: https://doi.org/10.1007/s11661-015-2990-5

[17] C. J. Quaak, M. G. Horsten, W. H. Kool, Rheological behaviour of partially solidified aluminium matrix composites, Mater. Sci. Eng., A 183 (1994)247-256.

DOI: https://doi.org/10.1016/0921-5093(94)90909-1

[18] A.N. Alexandrou, T. M. McGilvreay, G. Burgos, Steady Herschel-Bulkley fluid flow in three-dimensional expansions, J. Non-Newtonian Fluid 100 (2001) 77-96.

DOI: https://doi.org/10.1016/s0377-0257(01)00127-6

[19] M. Modigell, J. Koke, Time-dependent rheological properties of semi-solid metal alloys, Mechanics of Time-Dependent, Mater. 3 (1999) 15-30.

Fetching data from Crossref.
This may take some time to load.