人工鱼群算法对煤自燃机理函数的优化

发布时间：2018-03-06 15:37

本文选题：煤自然发火　切入点：热分析动力学　出处：《辽宁工程技术大学》2015年硕士论文　论文类型：学位论文

【摘要】：煤自燃机理的研究一直是现代学者研究的热点问题。煤自燃是一种受诸多因素影响的极其复杂的物理化学反应,对矿井的安全与生产有着严重的影响,因此预防煤自然发火有着重要的现实意义。本文为了确定最优的煤自燃机理函数,首先利用热重实验和热解动力学方法建立煤氧化反应的热分析动力学方程,再通过利用人工鱼群算法对煤自燃氧化方程进行优化,确定最优的煤自燃机理函数。该方法能较好的确定煤自燃机理的最优函数,且具有较好的拟合效果。对不同变质程度的煤样进行煤自燃机理函数的人工鱼群算法研究,同时以双鸭山东荣二矿14层采区的煤样为例进行热重实验分析,并通过人工鱼群算法对热解动力学方程所建立的煤自燃机理函数方程进行优化。优化过程表明：煤自燃机理函数可采用相关性系数较高的[-ln(1-α)]n形式；煤自燃机理函数的反应级数随着升温速率的升高而降低。
[Abstract]:The study of coal spontaneous combustion mechanism has been a hot issue of modern scholars. Coal spontaneous combustion is a very complex physical chemical reaction affected by many factors, which has a serious impact on mine safety and production. In order to determine the optimal mechanism function of coal spontaneous combustion, the thermogravimetric experiment and pyrolysis kinetics method are used to establish the thermal analysis kinetic equation of coal oxidation reaction. Then by using artificial fish swarm algorithm to optimize the oxidation equation of coal spontaneous combustion and determine the optimal function of coal spontaneous combustion mechanism, this method can better determine the optimal function of coal spontaneous combustion mechanism. The artificial fish swarm algorithm of coal spontaneous combustion mechanism function was studied for coal samples with different metamorphic degrees, and thermogravimetric experiments were carried out in 14 coal samples of Dongrong No.2 Coal Mine, Shuangyashan. The function equation of coal spontaneous combustion mechanism was optimized by artificial fish swarm algorithm. The optimization process shows that the coal spontaneous combustion mechanism function can be in the form of [-ln1- 伪] n with high correlation coefficient. The reaction order of coal spontaneous combustion mechanism function decreases with the increase of heating rate.
【学位授予单位】：辽宁工程技术大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TD752.2

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