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This model is designed and implemented with a dividing-layer architecture, which is used to complete aeration management of a number of stored grain warehouses in order to increase stored grain safety and to decrease stored grain management cost.
Otherwise, a number of data from application can also be used directly to design and implement a BN.
Thus, a number of software packages can be used to implement the above objective.
Thus, one complex problem how to design and analyze BN can be decomposed into a number of more manageable sub problems.
However, there are still a number of potential topics for future investigation.

A higher tensile strength and strain to fracture of the annealed thicker foil was attributed to the higher number of grains per thickness.
From this work, it was concluded that mechanical properties of thin foils were dependent upon the number of grains per thickness.
In general, it is known that when the number of grains per thickness is less than ten grains, the flow stress of thin foils is dependent on the grain size and the number of grains per thickness.
However, it is difficult to determine the grain size and the number of grains in the as-rolled thin foils.
On the basis of the EBSD result, the number of grains per thickness of the thinner foil is less than two grains, whereas the number of grains per thickness of the thicker foil is about six to eight grains.

The material is described on a grain scale as a set of (variable) spherical grains.
The model includes: (i) a grain boundary migration equation driving the evolution of grain size via the mobility of grain boundaries, which is coupled with (ii) a dislocation-density evolution equation, such as the Yoshie–Laasraoui–Jonas or Kocks–Mecking relationship, involving strain hardening and dynamic recovery, and (iii) an equation governing the total number of grains in the system due to the nucleation of new grains.
The following functions can then be introduced: – at time t, the number of present grains nucleated at the instant(number per volume unit); – the plastic strain within the grainin which the strain rateis assumed to be the same for each grain (using the classical Taylor homogeneous strain crystal-plasticity assumption); – the strain hardening of the grain as represented by its dislocation density(length per volume unit); – the grain diameter A number of constraints connect the various functions; e.g., the overall volume is constant at all times, i.e., (1) Evolution of Grain-Property Distributions Several mechanisms contribute to the evolution of grain-property distributions: (i) Grain boundary migration.
In such a way, grain-size distributions are clearly smoothers and look more like grain-size measurements with a few larger grains.
Let be µr(i) and µa(i) the number of grains in the class I, respectively, of the real 3D diameter (per volume unit) and the apparent 2D equivalent diameter (per area unit).

The thickness of the film was 1µm to 20µm and the number of stress cycles was 3×106.
Cyclic stressing was continued until the number of cycles N came to 3x106 cycles.
Number of the grown grains in thin films (3 and 6µm thick) is small.
On the micrographs, number of grown grains n fraction crystallized F and grown grain size Dc were measured and determined and are listed in Table 1.
This would result in the less number of grown grains in the thinner film than 10µm.

The relationship between the stress concentration and the number of dislocations in the pile-up is discussed.
Table 1 shows the number of representative atoms in the analysis model.
nonlocal atoms, the total number of atoms is about 16 million.
In the next section, we will examine the effect of the number of dislocation pile-ups on the stress concentration in the localized region, in which the first dislocation is absorbed in the grain boundary.
τ1 = nτ. (2) Here, n is the number of dislocations.

Unlike the images in Fig. 1a, the dislocation density decreases, and the number of grains containing few dislocations (marked “B”) increases.
A large number of equiaxed grains with a diameter of approximately 250 nm can be observed, and the SAED pattern indicates that these grains are in random crystallographic orientation.
The large numbers of dislocations disappear in the interior of grains.
Therefore, a large number of crystalline defects, such as grain boundaries and dislocations, can be generated in ECAPed pure iron, and they will lead to the increase in active atoms and thus enhance the active dissolution.
The dislocation density of pure iron was increased by the low number of ECAP passes and decreased by increasing the number of ECAP passes and annealing.

The parameters include the choice of the lattice symmetry, the pixels number and the number of the nearest neighbor lattice sites in the calculation of the system energy.
Compact microstructures were developed and the first results show that the lattice symmetry and the neighbour’s number have a fundamental influence on the results of grain growth simulation.
The average grain size in 2D microstructure and the average grain size for a cross section 2d in 3D were defined by the circle equivalent diameter of the mean grains surface calculated by dividing the total number of lattice point in the plane on the total number of grains in the same plane.
The figure 1 shows that the saturation of the growth for the 2nd neighbours is at 800 MCS, on the other hand, for the 3rd one’s, the growth does not stagnate, there is a minority of grains which continue to grow slowly without influencing the full number of grains, this phenomenon corresponds to abnormal grain growth.
For example, generally large grains grew up while small grains shrank.

The von Neumann-Mullins relation states that the growth rate of a grain is proportional to its number of sides [2,10]: dA/dt = γ × m × π / 3 ( n - 6 ) (2) where A is the area of a grain, γ the surface tension, m the interface mobility and n the number of sides.
This relation was actually used as: dA/dt = c × n + d (3) The number of neighbours of a grain was used as a proxy for its number of sides.
The grains where sorted into classes according to their number of neighbours and the derivative of the surface was then averaged per class.
Similarly to what was done in 2D, the number of neighbours of a grain was used as a proxy for its number of faces, and the grains where sorted into classes according to their number of neighbours and the derivative of the surface was then averaged per class.
Lett., Volume 67, Number 3, August 2004, p. 484-490

One of the ideas to explain the grain refinement has been proposed as the grain subdivision mechanism [2] which supposes that a massive number of dislocations generated by the severe plastic deformation rearrange to minimize their free energy and form dislocation boundaries.
Fig. 5 shows the relationship between the fall and the number of deformation processes in the case of γ = 1.0.
The fall after relaxation processes increase as the number of procecess increases.
However, the number of grains and grain size do not dramatically change after the second and third processes, so the increment of the fall is due to the generation of point defects.
Concequently, it can be confirmed that the threshold value of γ could exist for the grain refinement for the analysis model and analysis conditions adopted in this study, and the number of grains and grain size does not strongly depend on the value of γ in these simulations.

It is found that the 3D grain morphologies can be quite complex in particular for the larger grains, the number of neighbours varies significantly and values above 20 are not unusual.
The aim of the present work is to characterize the grain structure in 3D of grains in an aluminium sample.
Also the number of grain edges is determined for each grain and plotted as a function of the grain size in Fig. 4.
This may also explain why the calculated average number of neighbours is found to be 10.01, i.e. smaller than the theoretical expectation of a pentagonal dodecahedron grain shapes in 3D [9].
Number of grain edges (or grain neighbours) plotted versus the grain size for each of the characterized 333 grains.