Orientation selection in solidification patterning

Amoorezaei, Morteza; Gurevich, S. M.; Provatas, Nikolas

doi:10.1016/j.actamat.2011.10.006

Cited by 77 publications

(45 citation statements)

References 42 publications

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“…In summary, prior studies have shown that the interplay of thermal conditions, solute diffusion, and interfacial free energy anisotropy is very complex, and all of these factors can influence dendritic growth, [32] resulting in a range of morphologies from the dendritic to seaweed like to fractural. [33,34] The qualitative observations made in Figure 1 were verified through EBSD. Figure 2 shows an example of SEM micrograph, orientation map and corresponding pole figure resulting from the EBSD performed on the longitudinal section of the directionally solidified Mg-38wt pctZn.…”

mentioning

confidence: 66%

“…However, from the result depicted in Figures 2(a) and (b), the section plane appears to be nearly parallel to the main trunk, since the primary arm spans 80 pct of the micrograph in the vertical direction. [33] In conclusion, synchrotron X-ray tomography has elucidated abnormal dendritic growth in directionally solidified Mg-38wt pctZn, both in terms of the primary arm growth direction ( h2131i rather than the previously reported h1120i and h2245i directions), and the asymmetry of the secondary arm side branches. Specifically, seven asymmetric secondary arms evolve behind each advancing primary rather than the expected six-fold symmetry.…”

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confidence: 79%

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Anomalous α-Mg Dendrite Growth During Directional Solidification of a Mg-Zn Alloy

Shuai

Guo

Wang

et al. 2016

Metall Mater Trans A

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Dendritic morphology was investigated in a directionally solidified magnesium-zinc alloy using synchrotron X-ray tomography and electron backscattered diffraction. Unexpectedly, primary dendrites grew along h2131i, rather than the previously reported h1120i and h2245i directions. Further, seven asymmetric sets of side branches formed, instead of six-fold symmetric arms, evolving with three coexisting morphologies per trunk of: traditional, seaweed structure, and free growth. The anomalous growth is attributed to the imposed thermal gradient and zinc-induced interfacial energy anisotropy variations.

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confidence: 66%

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confidence: 79%

Anomalous α-Mg Dendrite Growth During Directional Solidification of a Mg-Zn Alloy

Shuai

Guo

Wang

et al. 2016

Metall Mater Trans A

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“…[103][104][105][106][107] A cusp interface energy model 108,109) has also been used to treat the facet and a high-anisotropy kinetic coefficient 110,111) has been modeled. Recently, dendrite growth simulations have been performed both in the 2D [112][113][114] and 3D 115,116) spaces for materials with the hexagonal close-packed structure, such as Mg alloys, which are the lightest metallic materials, and therefore, very important as future industrial materials.…”

Section: Interface Anisotropymentioning

confidence: 99%

Phase-field Modeling and Simulations of Dendrite Growth

Takaki

2014

ISIJ Int.

180

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The phase-field method has recently emerged as the most powerful computational tool for simulating complicated dendrite growth. However, these simulations are still limited to two-dimensional or small three-dimensional spaces; therefore, to realistic and practical dendritic structures, it is crucial to develop a large-scale phase-field simulation technique. This review discusses the phase-field modeling and simulations of dendrite growth from the fundamental model to cutting-edge very-large-scale simulations. First, phase-field models for the dendrite growth of pure materials and binary alloys and their histories are summarized. Then, models and studies of interface anisotropy, polycrystalline solidification, and solidification with convection, which are very important in dendritic solidification, are reviewed. Finally, by introducing very-large-scale phase-field simulations performed recently using a graphics processing unit supercomputer, the power, potential and importance of the very-large-scale phase-field simulation are emphasized.

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“…Therefore, microstructure control by means of materials processing has long been a central research theme in materials development. In the last three decades, numerical simulations using phase-field models have widely been used as powerful techniques for studying a wide variety of microstructural evolution of materials, including solidification [1][2][3][4][5][6][7][8] and solid-state phase transformations [9][10][11][12]. The most significant computational advantage of a phase-field model is that explicit tracking of the interface is unnecessary.…”

Section: Introductionmentioning

confidence: 99%