Modeling fluid flow in three-dimensional single crystal dendritic structures

Madison, Jonathan D; Spowart, Jonathan E.; Rowenhorst, David J.; Aagesen, Larry K.; Thornton, Katsuyo; Pollock, Tresa M.

doi:10.1016/j.actamat.2010.01.014

Cited by 66 publications

(23 citation statements)

References 37 publications

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“…7) may be most practical, plotting permeability in terms of the interfacial surface area (ISA) has been proposed as a more comprehensive description. 34 Whether the ISA, which can be easily evaluated from simulated microstructures, provides a suitable metric for prediction of permeability will be the subject of future research.…”

Section: Discussionmentioning

confidence: 99%

Cross-Permeability of the Semisolid Region in Directional Solidification: A Combined Phase-Field and Lattice-Boltzmann Simulation Approach

Böttger

Haberstroh

Giesselmann

2015

JOM

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Based on the results of microstructure simulations, fluid flow through the semisolid region during directional solidification of the technical Ni-base alloy 718 has been studied. Three-dimensional microstructures at different positions in the semisolid region were obtained by using a multicomponent multiphase-field model that was online coupled to a commercial thermodynamic database. For the range of five different primary dendrite distances k 1 between 50 lm and 250 lm, the flow velocity and the permeability perpendicular to the dendrite growth direction was evaluated by using a proprietary Lattice-Boltzmann model. The commercial CFD software ANSYS FLUENT was alternatively applied for reference. Consistent values of the average flow velocity along the dendrites were obtained for both methods. From the results of the fluid flow simulations, the cross-permeability was evaluated as a function of temperature and fraction liquid for each of the five different primary dendrite distances k 1 . The obtained permeability values can be approximated by a single analytical function of the fraction liquid and k 1 and are discussed and compared with known relations from the literature.

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Section: Discussionmentioning

confidence: 99%

Cross-Permeability of the Semisolid Region in Directional Solidification: A Combined Phase-Field and Lattice-Boltzmann Simulation Approach

Böttger

Haberstroh

Giesselmann

2015

JOM

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“…6a, the flowing N 2 and Al can form many flow channels (streamlines) in the matrix and the AlN is formed around the semi-continuous Si in the flow paths. Generally, the formation of complex flow channels can be determined by density difference and thermal convection between the liquid and gas phases [31][32][33][34]. However, in the Al-AlN-50Si B material, the semi-continuous structure of Si can lead to a more anisotropic structure which strongly influences the flow paths of N 2 and Al.…”

Section: Dynamic Microstructural Evolution Of Materialsmentioning

confidence: 99%

Impact of structure and flow-path on in situ synthesis of AlN: Dynamic microstructural evolution of Al-AlN-Si materials

Wang

Tong

et al. 2018

Sci. China Mater.

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The Al-AlN-Si composites were prepared in the gas-in-liquid in situ synthesized flow-reaction-system, which was implemented by a powder metallurgy and reaction sintering route. The experimental results showed that Al-AlN50Si B material (prepared by ball-milling powders) and AlAlN-50Si M material (prepared by mixing powders) exhibited the semi-continuous Si structures and the isolated Si islands, respectively. Subsequently, the Al-AlN-50Si materials were selected as the model materials by phase identification and microstructure analysis. The dynamic microstructural evolution of Al-AlN-50Si materials was investigated using the computational fluid dynamics (CFD) method. Mathematical models and simulation results showed that the in situ synthesis of AlN was strongly influenced by the structure and the flowpath ((c g,N 2 /l g,N 2 )+(c s,AlN /l s,AlN )). The flow paths of Al-AlN-50Si B material were restricted by the semi-continuous Si. These Si structures can promote the formation of the strong turbulence with gradually weakened fluctuation, so that the in situ synthesis of AlN was interconnected and surrounded by an interpenetrating Si network. In contrast, the flow paths of AlAlN-50Si M material can easily pass through the isolated Si due to its mild turbulence with linear relationship. As a result, AlN was separated by the isolated Si and agglomerated in the matrix. Overall, the present work provides new insights into dynamic microstructural evolution in in situ reaction sintering systems.

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“…Spowart and Mullens later developed an automated approach to serial sectioning by combining a 6-axis robot arm, an inverted optical microscope, an ultrasonic bath, and a polishing wheel with interchangeable diamond abrasive films. This system was shown to successfully serial-section a variety of material systems [16][17][18][19][20][21][22]. UES, Inc. later purchased the rights to license this tool, commercialized the product, and have deployed units worldwide [23].…”

Section: Introductionmentioning

confidence: 99%

Acquisition of Real-Time Operation Analytics for an Automated Serial Sectioning System

Madison

Underwood

Poulter

et al. 2017

Integr Mater Manuf Innov

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Mechanical serial sectioning is a highly repetitive technique employed in metallography for the rendering of 3D reconstructions of microstructure. While alternate techniques such as ultrasonic detection, micro-computed tomography, and focused ion beam milling have progressed much in recent years, few alternatives provide equivalent opportunities for comparatively high resolutions over significantly sized cross-sectional areas and volumes. To that end, the introduction of automated serial sectioning systems has greatly heightened repeatability and increased data collection rates while diminishing opportunity for mishandling and other userintroduced errors. Unfortunately, even among current, stateof-the-art automated serial sectioning systems, challenges in data collection have not been fully eradicated. Therefore, this paper highlights two specific advances to assist in this area; a non-contact laser triangulation method for assessment of material removal rates and a newly developed graphical user interface providing real-time monitoring of experimental progress. Both are shown to be helpful in the rapid identification of anomalies and interruptions, while also providing comparable and less error-prone measures of removal rate over the course of these long-term, challenging, and innately destructive characterization experiments.

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Modeling fluid flow in three-dimensional single crystal dendritic structures

Cited by 66 publications

References 37 publications

Cross-Permeability of the Semisolid Region in Directional Solidification: A Combined Phase-Field and Lattice-Boltzmann Simulation Approach

Cross-Permeability of the Semisolid Region in Directional Solidification: A Combined Phase-Field and Lattice-Boltzmann Simulation Approach

Impact of structure and flow-path on in situ synthesis of AlN: Dynamic microstructural evolution of Al-AlN-Si materials

Acquisition of Real-Time Operation Analytics for an Automated Serial Sectioning System

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