In this article, a numerical computation of magnetic forces between an aggregate and a nanoparticle and between two aggregates is shown.
The technique is based on a model of mass-transfer-effective bubble interactions which permits computation of a mass transfer driving force correction factor.
Indeed, the increase and availability of a high-power computation machine allow a force brute attack against these ciphers.
Figure1 shows the general outline of EA which includes four phases: initialization of algorithm, computation of total force exerted on each particle, movement along the direction of the force, and local search.
Here, the direction of the vector of polarization M is set to the direction x 3, M is the magnitude of the vector M. From Equations 2 and 3, the analytical computation of magnetic force between two iron nanoparticles can be obtained.
This requires a body size as well, and this was computed directly from specimens which had been weighed prior to death by allometry comparisons (see Procedure for computation of Bite Force Quotients (BFQ) S3).
Here, to compute 2-dimensional flux J3, J4 from 4-dimensional space, we adopted some approximation method in computation of the force F3 and F4, because generally F is the function of 4 variables(x2, x3, x4, x4).
Four examples of practical application were provided, including the computation of the point of application of a force and the angular velocity of a rigid body.
The exact computation of dynamic clamping force ensures a safe high-speed turning process, and makes it possible to fully utilize the potential of jaw-chucks at high rotational speeds.
We developed a particle particle particle mesh method for effective computation of the magnetic force and torque acting on the particles.
