The combination of numerical simulation and optimization algorithm enables comprehensive optimization of several key parameters of PTMS Electromagnetic Separator. Search for the optimal parameter combination in the large parameter space through genetic algorithms, particle swarm optimization algorithms, etc.
These algorithms can quickly find the parameters such as magnetic magnet size, magnetic field direction and arrangement according to the set target function (such as the maximum magnetic field strength, minimizing magnetic field fluctuations, etc.). PTMS Electromagnetic Separator can achieve the desired selection effect and processing power.
The permanent magnet cylinder PTMS Electromagnetic Separator is not limited by the traditional open magnetic circuit structure, the magnetic field strength in the sorting area is difficult to reach 600 mT, and the distribution is very uneven, and the magnetic field strength on the surface of the magnetic cylinder corresponding to the center of the magnetic pole is low. This uneven magnetic field distribution leads to the magnetic particles can not be effectively separated during the sorting process, which affects the sorting efficiency and concentrate quality of the magnetic separator.
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