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Computer simulation of sieving behavior of powders was performed to estimate the sieving rate by the particle element method.
In the case of EFS, the synthesis depth, K, is another important factor, as in every particle element the synthesis process consists of K – 1 input features.
The particle element method taking into account the magnetic interaction between developing particles is used and the validity of the simulation method is experimentally confirmed.
The idea in the technique is to evaluate a separate fitness score for each particle element, in order to form an artificial global best (aGB) particle by combining the best elements found from the entire swarm.
A model of porous composite microstructures for solid oxide fuel cell (SOFC) anodes, based on spherical particle packing, was numerically studied by means of the three-dimensional particle element method (PEM), which is a discrete element method.
In this paper, analytical expressions of the transient melting process for spherical polymer pellets sliding against adiabatic wall are derived, which is essential for the numerical simulation of melting process in solid conveying section by particle element method.
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The initial particle elements are randomly generated in the range (0,1).
A recent method called FGBF [31] has been proposed to tackle this problem by exploiting the potential of individual particle elements of each particle position.
However, in this case the aGB particle of a particular dimension can be also formed by combining particle elements from dimensions other than the current one.
Thus, as demonstrated in the figure, each of the particle elements includes 2K + 1 = 7 encoded synthesis components, A0,…,andand B1,…,B1.
The solution includes the explicit mechanics of particle elements in the nose of the leading bubble as well as the particle elements in the wakes of bubbles trapped between coalescing bubbles.
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