摘要
In the process of open-pit coal mine production,mining and transport loss of excavator accessories,iron and other large ferromagnetic objects with the coal into the crusher,will result in crusher jammed, broken tooth damage and even motor burn down and other serious production accidents,based on the principle of low frequency eddy current detection can effectively detect ferromagnetic objects,the characteristics of the ferromagnetic objects open-pit mine secondary crushing plant movement monitoring research. Taking SANDVIK’s CR610/14—35 double-tooth roller sieve crusher as the experimental object,the mechanism of the detection system was analytically modeled according to the principle of electromagnetic mutual induction. The results of modeling and experiments show that the eddy current generated by ferromagnetic objects is weak due to the existence of strong background noise. The signal to noise ratio(SNR)can be improved by optimizing the parameters of the detector and planning the path of the detector. According to the characteristics of the experimental object,the maximum SNR was obtained when the ratio of the radius of the metal to the detection distance was 0. 048,and the ratio of the coil radius to the detection distance was 0. 044 5. In the 1 ~35 kHz segment,the SNR is higher in the low frequency band than the high frequency band. The initial value and response time of the path entering the detection area perpendicular to the detection axis have obvious advantages over the path entering the detection area parallel to the axis.
| 投稿的翻译标题 | Research on monitoring of moving ferromagnetic objects in open-pit mine crushing station based on low-frequency eddy current detection |
|---|---|
| 源语言 | 繁体中文 |
| 页(从-至) | 91-99 |
| 页数 | 9 |
| 期刊 | Journal of Mining Science and Technology |
| 卷 | 6 |
| 期 | 1 |
| DOI | |
| 出版状态 | 已出版 - 2月 2021 |
| 已对外发布 | 是 |
关键词
- autocorrelation
- low-frequency eddy current detection
- metal detection
- open-pit mine
- toothed roll crusher
指纹
探究 '基于低频涡流检测的露天矿破碎机运动铁磁物体监测研究' 的科研主题。它们共同构成独一无二的指纹。引用此
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