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煤体结构对自燃倾向性影响研究

Study on influence of coal structure on spontaneous combustion tendency

  • 摘要: 为分析煤体结构对煤自燃倾向性的影响及各因素对自燃倾向性的“贡献程度”,选取5种不同变质程度的代表性煤样,分别运用程序升温-气相色谱联机装置进行氧化动力学试验测定煤的自燃倾向性综合判定指数;运用扫描电子显微镜、比表面积及孔径分析仪分别进行SEM试验、低温氮气吸附试验对煤的宏观结构进行检测;利用傅里叶红外光谱技术及OMNIC分峰软件进行煤的微观分子主要官能团分析;利用灰色关联分析方法找出各因素与自燃倾向性的关联程度并进行等级划分,并利用SPSS软件及多元统计学原理建立煤自燃倾向性多元回归分析模型并对模型进行检验、各系数分析及正态图分析。
    结果显示:随着变质程度的增加,主要官能团含量变化明显,大孔及裂隙减少,煤体结构变得紧致,分子稳定性加强,煤自燃倾向性减弱且微孔占比与煤自燃倾向性关联度最大。通过灰色关联分析及煤自燃倾向性的多元回归分析,建立了可靠的煤自燃倾向性的多元回归分析模型,找出了影响自燃倾向性的关键因素,揭示了自燃倾向性与煤部分试验数据的线性关系。

     

    Abstract: This paper focuses on the analysis of the influence of coal structure on the spontaneous combustion propensity of coal and the contribution degree of each factor to the spontaneous combustion propensity. Five representative coal samples with different degrees of metamorphism were selected, and the oxidation kinetics was carried out by temperature programmed-gas chromatography. The test determines the comprehensive judgement index of spontaneous combustion propensity of coal.Scanning electron microscopy, specific surface area, and pore size analyzer were used to carry out SEM test and low temperature nitrogen adsorption test to detect the macro structure of coal. The main functional groups of coal microscopic molecules were analyzed by Fourier transform infrared spectroscopy and OMNIC peak separation software.The analysis used gray correlation analysis method to find out the correlation degree between each factor and the spontaneous combustion propensity and classified it.The SPSS software and the multivariate statistical principle were used to establish the multi-regression analysis model of coal spontaneous combustion propensity. The model was tested, the coefficients were analyzed, and the normal map was analyzed. The results show that with the increase of metamorphism, the content of main functional groups changes obviously, macro pores and fissures decrease, the structure of coal body becomes compact, the molecular stability increases, the propensity of spontaneous combustion of coal decreases, and the proportion of micro pores is most correlated with the spontaneous combustion propensity of coal. Through the grey correlation analysis and multiple regression analysis, a reliable multivariate regression analysis model of coal spontaneous combustion propensity was established, and the key factors affecting the spontaneous combustion propensity were found out,and the linear relationship between spontaneous combustion tendency and part test data of coal is revealed.

     

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