Title |
Simulation Of Corona Electrostatic Separator For End-Of-Life Management In Printed Circuit Boards |
ID_Doc |
9444 |
Authors |
Patil, T; Rebaioli, L; Fassi, I |
Title |
Simulation Of Corona Electrostatic Separator For End-Of-Life Management In Printed Circuit Boards |
Year |
2021 |
Published |
|
DOI |
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Abstract |
Printed circuit boards (PCBs) are made of several materials, including platinum, gold, silver, and rare earth elements, which are very valuable from a circular economy perspective. The PCB end of life management starts with the component removal, then the PCBs are shredded into small particles. Eventually, different separation methods are applied to the pulverized material to separate metals and non-metals. The corona electrostatic separation is one of the methods that can be used for this purpose since it is able to separate the conductive and non-conductive materials. However, the lack of knowledge to set the process parameters may affect the efficiency of the corona electrostatic separation process, ultimately resulting in the loss of valuable materials. The simulation of particle trajectory can be very helpful to identify the effective process parameters of the separation process. Thus, in this study, a simulation model to predict the particles trajectories in a belt type corona electrostatic separator is developed with the help of COMSOL Multiphysics and MATLAB software. The model simulates the particle behavior taking into account the electrostatic, gravitational, centrifugal, electric image, and air drag forces. Moreover, the predicted particles trajectories are used to analyze the effects of the roll electrode voltage, angular velocity of roll electrode, and size of the particles on the separation process. |
Author Keywords |
End of Life management; Printed Circuit Boards; Corona Electrostatic Separation; Particle Trajectory Simulation |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
EID |
WOS:001224373400016 |
WoS Category |
Computer Science, Interdisciplinary Applications; Engineering, Manufacturing |
Research Area |
Computer Science; Engineering |
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