Study on favorable matrix aspect ratio for maximum particle capture in axial high gradient magnetic separation
Study on favorable matrix aspect ratio for maximum particle capture in axial high gradient magnetic separation
复制标题
轴向高梯度磁分离中最大颗粒捕获的有利基质纵横比研究
DOI:
10.1016/j.mineng.2019.02.036
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发表时间:
2019-05
影响因子:
4.8
通讯作者:
Haoran Chu
中科院分区:
文献类型:
--
作者:
Yuhua Wang;Zixing Xue;Xiayu Zheng;Dongfang Lu;Xudong Li;Haoran Chu
High gradient magnetic separation (HGMS) has witnessed widespread application in many scientific and industrial fields. In this paper, the favorable aspect ratio of matrices in axial HGMS was investigated, providing that matrices’ cross-section area were equal. Particle capture models for different circumstances were derived and selection method of applicable particle capture models for specific conditions when varying matrix aspect ratioγ(1/4 ∼ 5) was put forward. Particle capture cross section of matrices under a variety of conditions were depicted and quantified. The horizontal and vertical dimension of the particle capture cross section increases and decreases with the increase of aspect ratio, respectively. The particle capture cross section area increases rapidly and slowly before and after reaching magnetization saturation. There exists a favorable matrix aspect ratio at which the particle capture cross section area (particle capture efficiency) reaches the maximum. The favorable aspect ratio is induction dependent and decreases with the increase of magnetic induction. In scientific studies and industrial practice employing axial HGMS, matrices with the favorable aspect ratio can be adopted basing on results of this investigation, which is quite beneficial for the recovery of fine weakly magnetic particles.
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影响因子:
4.8
作者:
Yuhua Wang;Danxiao Gao;Xiayu Zheng;Dongfang Lu
通讯作者:
Dongfang Lu
影响因子:
4.8
作者:
Xiayu Zheng;Yu-hua Wang;Dongfang Lu
通讯作者:
Xiayu Zheng;Yu-hua Wang;Dongfang Lu
影响因子:
35.6
作者:
W. R. Smythe
通讯作者:
W. R. Smythe
影响因子:
2.1
作者:
Xiayu Zheng;Nana Guo;R. Cui;Dongfang Lu;Xudong Li;Mao-lin Li;Yu-hua Wang
通讯作者:
Xiayu Zheng;Nana Guo;R. Cui;Dongfang Lu;Xudong Li;Mao-lin Li;Yu-hua Wang
影响因子:
5.2
作者:
Mauricio Córdova Udaeta;Gjergj Dodbiba;Josiane Ponou;Keiichi Sone;T. Fujita
通讯作者:
Mauricio Córdova Udaeta;Gjergj Dodbiba;Josiane Ponou;Keiichi Sone;T. Fujita