A finite element model to simulate magnetic field distribution and laboratory studies in wet low-intensity magnetic separator
Author(s):
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Low-intensity magnetic separators are widely used in the research works and the industry. Advancement in the magnetic separation techniques has led to an expansion in the application of this method in different fields such as enrichment of magnetic mineral, wastewater treatment, and medicine transfer in the human body. In the mineral processing industry, the main application of wet magnetic separation is via drum separators. The design of this separator is based on drum rotation inside a tank media, where a permanent magnet placed inside the drum as an angle form produces a magnetic field. In the present work, the magnetic variables involved (magnetic flux density, intensity of magnetic field, and gradient of magnetic field intensity) were simulated in the drum wet low-intensity magnetic separator using the finite element method and a COMSOL Multiphysics simulator; these variables were further validated through the measured data. A comparison between the simulation and laboratory measurements (of the magnetic field) showed that the mean value of the simulation error in 94 points in 2 sections was equal to 9.6%. Furthermore, the maximum simulation error in the middle of the magnets, as the most important part of the magnetic field distribution in the process of magnetic separation, was in the 6th direction and equal to 7.8%. Therefore, the performed simulation can be applied as a first step to design and construct more advanced magnetics separators.
Keywords:
Language:
English
Published:
Journal of Mining and Environement, Volume:10 Issue: 3, Summer 2019
Pages:
717 to 727
https://www.magiran.com/p2014694
سامانه نویسندگان
مقالات دیگری از این نویسنده (گان)
-
sewage sludge to coating copper sulfide processing tailings to reduce the availability of metals resulting from the production of acidic drainage
Farshad Ayadivand, *, Ahmad Jamshidi, Hassan Maleki
Journal of Mining Engineering,