Study on the demarcation of applied magnetic induction for determining magnetization state of matrices in high gradient magnetic separation
Study on the demarcation of applied magnetic induction for determining magnetization state of matrices in high gradient magnetic separation
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高梯度磁分离中外加磁感应强度确定基质磁化状态的研究
DOI:
10.1016/j.mineng.2018.08.005
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发表时间:
2018-10
影响因子:
4.8
通讯作者:
Dongfang Lu
中科院分区:
文献类型:
--
作者:
Yuhua Wang;Danxiao Gao;Xiayu Zheng;Dongfang Lu
High gradient magnetic separation (HGMS) has been widely applied in many scientific and industrial fields. The performance of matrix in HGMS varied greatly before and after reaching magnetization saturation. Particle capture models of unsaturated and saturated matrices had been established in previous studies. Problems remained that how to determine the demarcation of applied magnetic induction for selecting the right capture models in specific studies. This is remarkably essential for the investigation of effect of matrix shape (aspect ratio) on performance of matrix in HGMS. In the present paper, magnetization process of circular matrix with increasing applied magnetic induction was investigated through numerical simulation and theoretical calculations. A convenient method to determine the demarcation point was proposed. The internal magnetic induction of matrix is equal to magnetization before reaching saturation and has the same growth rate as applied magnetic induction after reaching saturation. The demagnetization of matrix is half of the magnetization before and after reaching saturation. Validity of the coefficients adopted in the particle capture models in the whole range of applied induction is investigated with the internal magnetic induction, aiming to determine the demarcation point for selecting the right particle capture models. Results showed that the demarcation of the applied magnetic induction for circular matrix isMs/2. Particle capture models of unsaturated and saturated matrix should be selected when applied magnetic induction is lower and higher thanMs/2, respectively.
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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:
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:
--
作者:
Tripathy, Sunil Kumar;Singh, Veerendra;Suresh, Nikkam
通讯作者:
Suresh, Nikkam
影响因子:
1.8
作者:
N. Nomura;F. Mishima;Y. Akiyama;S. Nishijima
通讯作者:
N. Nomura;F. Mishima;Y. Akiyama;S. Nishijima
影响因子:
--
作者:
Yu Jianwen;Han Yuexin;Li Yanjun;Gao Peng
通讯作者:
Gao Peng