Self-heating tendency evaluation of sulfide ores based on nonlinear multi-parameters fusion  

基于非线性多参数融合的硫化矿石自热倾向性评价（英文）

作　　者：潘伟[1,2] 吴超[2] 李孜军[2] 杨月平[3] 

机构地区：[1]辽宁工程技术大学矿山热动力灾害与防治教育部重点实验室,阜新123000 [2]中南大学资源与安全工程学院,长沙410083 [3]南华大学核资源工程学院,衡阳421001

出　　处：《Transactions of Nonferrous Metals Society of China》2015年第2期582-589,共8页中国有色金属学报（英文版）

基　　金：Project(51304238)supported by the National Natural Science Foundation of China;Project(JSK200206)supported by the Foundation of Key Laboratory of Mine Thermo-motive Disaster and Prevention,Ministry of Education,China

摘　　要：In order to reveal the nonlinear dynamics characteristics of unsteady self-heating process of sulfide ores, nine different kinds of sulfide ore samples from a pyrite mine in China were taken as experimental materials and their self-heating characteristics were measured in laboratory. Furthermore, the measured temperature was studied by integrating wavelet transform, nonlinear characteristic parameters extraction and fuzzy comprehensive evaluation. The results indicate that only the ore samples 1, 2, 6 and 9 have obvious self-heating phenomenon, and their self-heating initiative temperatures are 220 ℃, 239 ℃, 220 ℃ and 220 ℃, respectively, which means that they are difficult to produce self-heating under normal mining conditions. The correlation dimension of self-heating process is fraction and the maximum Lyapunov exponent is positive, which means that it is feasible to study the self-heating process based on chaotic dynamics theory. The nonlinearities of self-heating process of these four samples （ore samples 1, 2, 6 and 9） are 0.8227, 0.7521, 0.9401 and 0.8827 respectively and the order of the samples according to these results is： sample 6, sample 9, sample 1, sample 2, which is consistent with the measured results of self-heating characteristics. Therefore, the nonlinearity method can be used to evaluate the self-heating tendency of sulfide ores, and it is an effective verification of the reliability of measured results.为揭示硫化矿石非稳态自热过程的非线性动力学特征,以从某硫铁矿采集的9种硫化矿石样品为实验材料,开展室内矿石自热特性实验。采用集成小波变换、非线性特征参数提取和模糊综合评判等方法对实测温度数据进行研究。结果表明:仅矿样1、2、6和9出现明显自热,自热起始温度分别为220、239、220和220°C,在正常采矿条件下矿石不易产生自热;矿样自热过程的关联维数均为分数,最大Lyapunov指数均大于0,验证了基于混沌动力学理论研究自热过程的可行性;矿样自热过程的非线性度分别为0.8227、0.7521、0.9401和0.8827,排序依次为矿样6、矿样9、矿样1、矿样2,与自热特性测定结果一致。因此,可采用非线性度方法来评价硫化矿石自热倾向性,该方法可对实测结果的可靠性进行有效验证。

关 键 词：sulfide ores self-heating process nonlinear characteristic parameter NONLINEARITY self-heating tendency 

分 类 号：P578.2[天文地球—矿物学]