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硫化矿石自热过程的分维特性

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成果类型:
期刊论文
作者:
潘伟;吴超;李孜军;杨月平
通讯作者:
Pan, Wei
作者机构:
[潘伟] Key Laboratory of Mine Thermo-motive Disaster and Prevention, Ministry of Education, Liaoning Technical University, Fuxin, China
[杨月平] School of Nuclear Resources Engineering, University of South China, Hengyang, China
[潘伟; 李孜军; 吴超] School of Resources and Safety Engineering, Central South University, Changsha, China
通讯机构:
Key Laboratory of Mine Thermo-motive Disaster and Prevention, Ministry of Education, Liaoning Technical University, Fuxin, China
语种:
中文
关键词:
硫化矿石;自热过程;小波技术;分形理论;关联维数;自热倾向性
关键词(英文):
Correlation dimension;Fractal theory;Self-heating process;Self-heating tendency;Sulfide ore;Wavelet technology
期刊:
中国有色金属学报
ISSN:
1004-0609
年:
2015
卷:
25
期:
2
页码:
492-499
基金类别:
国家自然科学基金资助项目(51304238) 矿山热动力灾害与防治教育部重点实验室基金资助课题(JSK200206)
机构署名:
本校为其他机构
院系归属:
核资源工程学院
摘要:
为揭示硫化矿石自热过程的分形特征,以从现场采集的矿石样品作为实验材料,开展矿石自热特性实验,集成小波技术和分形理论对实测温度数据进行研究。结果表明:仅矿样1、2、3和8出现明显自热现象,自热起始温度分别为136.3、178.5、195.4和200 ℃,在正常采矿条件下,矿石不易产生自热现象;矿样自热过程具有稳定的关联维数,验证了基于分形理论研究自热过程的可行性;在实验条件基本一致的前提下,随着自热起始温度的增大,矿样自热过程的关联维数逐渐减小,可采用关联维数来定性判断自热倾向性强弱;自热效果明显的矿样,其实验后期的关联维数大于实验前期的值,因此,可根据关联维数的变化特征来判定矿样出现...
摘要(英文):
To reveal the fractal characteristics of self-heating process of sulfide ores, ore samples from a copper mine were taken as experimental materials, and the self-heating characteristics were measured in laboratory. Furthermore, the measured temperature was studied by integrating wavelet technology and fractal theory. The results indicate that only the ore samples 1, 2, 3 and 8 appear obvious self-heating tendency, and their self-heating initiative temperatures are 136.3, 178.5, 195.4 and 200 ℃, respectively, which mean that they are difficult t...

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