1 L21: Topology of Microstructure A. D. Rollett 27-750 Spring 2006.
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Transcript of 1 L21: Topology of Microstructure A. D. Rollett 27-750 Spring 2006.
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L21: Topology of
Microstructure
A. D. Rollett
27-750
Spring 2006CarnegieMellon
MRSEC
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Outline
• Objectives• Motivation• Quantities,
– definitions – measurable – Derivable
• Problems that use Topology
• Topology
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Objectives• To describe the important features of grain boundary
networks, i.e. their topology.• To illustrate the principles used in extracting grain
boundary properties (e.g. energy) from geometry+crystallography of grain boundaries: microstructural analysis.
• To understand how Herring’s equations lead to a method of obtaining (relative) grain boundary (and surface) energies as a function of boundary type.
• To understand how curvature-driven grain boundary migration leads to a method of obtaining (relative) mobilities.
Objectives Notation Equations Delesse SV-PL LA-PL Topology Grain_Size Distributions
4 Topology - why study it?
• The behavior of networks of interfaces is largely driven by their topology. The connectivity of the interfaces matters more than dimensions.
• Example: in a 2D boundary network, whether a grain shrinks or grows depends on the number of sides (von Neumann-Mullins), not its dimensions (although there is a size-no._of_sides relationship).
• In a 2D grain boundary network, the dihedral angles at triple junctions is 120°. Why? There is a force balance at each triple junction and symmetry dictates that the angles must be equal, therefore each 120°.
Objectives Notation Equations Delesse SV-PL LA-PL Topology Grain_Size Distributions
5 Shrink vs. Grow (Topology)
Objectives Notation Equations Delesse SV-PL LA-PL Topology Grain_Size Distributions
Read: Mullins, W. W. (1956). "Two-dimensional motion of idealized grain boundaries." J. Appl. Phys. 27: 900-904; also Palmer M, Nordberg J, Rajan K, Glicksman M, Fradkov VY. Two-dimensional grain growth in rapidly solidified succinonitrile films. Met. Mater. Trans. 1995;26A:1061.
Triplejunction
6 Topology of Networks in 3D
• Consider the body as a polycrystal in which only the grain boundaries are of interest.
• Each grain is a polyhedron with facets, edges (triple lines) and vertices (corners).
• Typical structure has three facets meeting at an edge (triple line/junction or TJ); Why 3-fold junctions? Because higher order junctions are unstable [to be proved].
• Four edges (TJs) meet at a vertex (corner).
Objectives Notation Equations Delesse SV-PL LA-PL Topology Grain_Size Distributions
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Definitions
• G B = Grain = polyhedral object = polyhedron = body
• F = Facet = face = grain boundary• E = Edge = triple line = triple junction = TJ• C V = Corner = Vertex = points• n = number of edges around a facet• overbar or <angle brackets> indicates
average quantity
Objectives Notation Equations Delesse SV-PL LA-PL Topology Grain_Size Distributions
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Euler’s equations
• 3D: simple polyhedra (no re-entrant shapes)V + F = E + 2 [G = 1]
• 3D: connected polyhedra (grain networks)V + F = E + G +1
• 2D: connected polygons V + F = E + 1
• Proof: see What is Mathematics? by Courant & Robbins (1956) O.U.P., pp 235-240.
• These relationships apply in all cases with no restrictions on connectivity.
Objectives Notation Equations Delesse SV-PL LA-PL Topology Grain_Size Distributions
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Grain Networks• A consequence of the characteristic that
three grain boundaries meet at each edge to form a triple junction is this:
3V = 2E
E
EE
E
EE
EE
E
EEEV
V
V
V
V
V
Objectives Notation Equations Delesse SV-PL LA-PL Topology Grain_Size Distributions
This relationship is particular to grain networks. It is not general because it depends on junctions being triple junctions only (no quadri-junctions, for example).
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2D sections• In a network of 2D grains, each grain boundary
has two vertices at each end, each of which is shared with two other grain boundaries (edges):
2/3 E = V, or, 2E = 3V E =
1.5V• Each grain has an average of 6 boundaries
and each boundary is shared: <n> = 6: E = <n>/2 G =
3G, or, V = 2/3 E = 2/3 3G
= 2G
Objectives Notation Equations Delesse SV-PL LA-PL Topology Grain_Size Distributions
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2D sections
6-sided grain= unit cell;each vertex has 1/3 in eachunit cell;each boundaryhas 1/2 in each cell
split each edge
divide each vertex by 3
Objectives Notation Equations Delesse SV-PL LA-PL Topology Grain_Size Distributions
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2D Topology: polygons
Objectives Notation Equations Delesse SV-PL LA-PL Topology Grain_Size Distributions
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3D Topology: polyhedra
Objectives Notation Equations Delesse SV-PL LA-PL Topology Grain_Size Distributions
14 Application: regular
shapes• For grains in polycrystalline
solids, the shapes are approximated by tetrakaidecahedra: -ttkd to
-ttkd.
(a) soap froth; (b) plant pith cells; (c) grains in Al-Sn
Objectives Notation Equations Delesse SV-PL LA-PL Topology Grain_Size Distributions
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3D von Neumann-Mullins
• The existence of the n-6 rule in 2D suggests that there might be a similar rule in 3D.
• The foundation of the n-6 rule is the integration of curvature around the circumference of a grain. In 3D it turns out that integrating the mean curvature around a polyhedron is not possible mathematically. Various approximations have been tried (see, e.g., Hilgenfeldt, S., A. Kraynik, S. Koehler and H. Stone (2001). "An accurate von Neumann's law for three-dimensional foams." Physical Review Letters 86(12): 2685-2688.).
• Empirically, however, it turns out that there is an F-13.6 rule that holds, based on several computer simulations. Grains with 14 or more facets grow (on average) whereas grains with 13 or fewer facets shrink.
Objectives Notation Equations Delesse SV-PL LA-PL Topology Grain_Size Distributions
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3D von Neumann-Mullins
• Glicksman recently developed a theory based on polyhedra with regular shapes. This predicts a crossing point at N=13.4.
See: Glicksman ME, “Analysis of 3-D network structures “;PHILOSOPHICAL MAGAZINE 85 (1): 3-31 JAN 1 2005.
Also, Glazier JA. “Grain growth in three dimensions depends on grain topology.” Phys. Rev. Lett. 1993;70:2170.
17 3D vs 2D: polygonal
faces• Average no. of
edges on polygonal faces is less than 6 for typical 3D grains/cells.
• Typical <n>=5.14• In 2D, <n>=6.
Objectives Notation Equations Delesse SV-PL LA-PL Topology Grain_Size Distributions
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Summary
• Grain boundary networks obey certain geometrical rules. For example, in 2D, grains have an average of exactly 6 sides.
• Boundaries generally meet at triple lines, which simplifies some of the topological relationships.
• Nearly all cellular materials (including biological ones) have very similar topologies.
• Force balance (Herring relations) at Triple Junctions determines dihedral angles (120° for isotropic boundaries), which in turn determine boundary curvatures for moving boundaries.