scholarly journals DIAGNOSTICS OF DENDRITE STRUCTURE OF MULTICOMPONENT ALUMINUM ALLOYS

2018 ◽  
pp. 55-62
Author(s):  
V. M. Golod ◽  
L. Yu. Dobosh
Keyword(s):  
Aluminum Alloys ◽  
System Analysis ◽  
Materials Science ◽  
Solid Phase ◽  
Dendritic Structure ◽  
Complete Suppression ◽  
Computational Materials Science ◽  
Nonequilibrium Crystallization ◽  
Computational Materials ◽  
Diffusion Intensity

Stages of system analysis and mathematical models for predicting the dendritic structure of multicomponent aluminum alloys are considered. Computer diagnostics of nonequilibrium crystallization is realized by the joint use of the apparatus of computational thermodynamics and means of computational heat transfer for solving problems of computational materials science. The results of modeling the evolution of the dendritic structure are presented with a change in the diffusion intensity in the solid phase from equilibrium conditions to complete suppression.

Mentoring Undergraduate Students in Computational Materials Research

2015 ◽  
Vol 1762 ◽  
Author(s):  
Jie Zou
Keyword(s):  
Undergraduate Students ◽  
Experimental Research ◽  
Materials Science ◽  
Computational Materials Science ◽  
Undergraduate Institutions ◽  
Materials Research ◽  
Computational Research ◽  
Computational Materials ◽  
Eastern Illinois University ◽  
Physics Department

ABSTRACTComputation has become an increasingly important tool in materials science. Compared to experimental research, which requires facilities that are often beyond the financial capability of primarily-undergraduate institutions, computation provides a more affordable approach. In the Physics Department at Eastern Illinois University (EIU), students have opportunities to participate in computational materials research. In this paper, I will discuss our approach to involving undergraduate students in this area. Specifically, I will discuss (i) how to prepare undergraduate students for computational research, (ii) how to motivate and recruit students to participate in computational research, and (iii) how to select and design undergraduate projects in computational materials science. Suggestions on how similar approaches can be implemented at other institutions are also given.

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