热害矿井掘进工作面热环境数值模拟研究

发布时间：2018-06-01 18:07

本文选题：掘进工作面 + 热环境　；参考：《西安科技大学》2017年硕士论文

【摘要】：随着矿井开采深度的增加和采掘机械化程度的不断提高,深井热害已经成为制约煤矿安全开采的重大问题之一,矿内高温环境严重影响井下作业人员的身体健康和生产效率。因此开展对高温矿井的热环境研究具有重要的安全意义、经济意义。本文针对新巨龙公司1304N掘进工作面,利用理论分析,数值模拟,现场测试等方法对掘进工作面热环境进行研究。本文首先通过实验测得工作面煤岩的热扩散系数和导热系数;根据现场实测数据得到围岩与风流的对流换热系数、风筒综合换热系数以及不稳定换热系数;对现场热环境参数进行测定,得到进风、回风风流焓值变化规律;然后分析掘进工作面围岩内部温度分布以及巷道风流场分布数学模型,建立了合适的物理模型,利用FLUENT软件对掘进工作面围岩内部温度分布以及工作面热环境分布进行了数值模拟,并利用空气龄和PMV-PPD指标对掘进工作面热环境进行评价。利用数值模拟分析不同因素对工作面热环境的影响,对比不同条件下工作面温度场、速度场、空气龄和PMV-PPD分布情况,根据数值模拟的结果,建立基于粒子群算法(PSO)寻优的支持向量机(SVM)掘进工作面热环境预测模型;然后在对掘进工作面进行热源分析的基础上,利用能量守恒推导出需冷量的计算公式,并分析工作面需冷量与热源散热之间的关系,计算出1304N掘进工作面需冷量为580.5kW,据此给出工作面空冷器额定制冷量选择的合理建议;根据对不同空冷器安装位置进行模拟,分析其对工作面制冷降温的影响。研究表明:围岩温度场受送风温度以及风量的影响,一定范围内,温度大小决定换热量多少,风量大小决定换热能力大小;送风温度、送风量、与迎头距离对掘进工作面热环境都有一定影响,降低送风温度能够有效的改善热环境,增大风量对热环境影响有限,增大过度甚至有负效果,理论上距离迎头越近,工作面热环境越好,考虑实际情况5-8m比较合适;基于SVM模型的热环境预测结果表明,该模型预测精度高,运算快,是一种比较科学的模型,可以用于热环境的预测。将1台制冷量为250kW的空冷器布置在距离迎头350m-200m范围,就能够能够使1304N工作面有较好的降温效果。
[Abstract]:With the increase of mining depth and the increasing mechanization of mining, the heat damage of deep well has become one of the major problems that restrict the safety mining of the coal mine. The high temperature environment in the mine seriously affects the health and efficiency of the workers in the underground mine. Therefore, it is of great safety significance to carry out the research on the thermal environment of the high temperature mine. In this paper, the thermal environment of the heading face is studied by means of theoretical analysis, numerical simulation, field test and so on. The thermal diffusivity and thermal conductivity of coal rock in the working face are measured by experiments, and the convective heat transfer coefficient of the surrounding rock and the wind flow is obtained according to the actual measured data in the 1304N heading face of the new giant dragon company. The overall heat transfer coefficient and the unstable heat transfer coefficient of the wind tunnel are measured. The parameters of the thermal environment are measured, and the change law of the enthalpy of the air flow and the air flow is obtained. Then the temperature distribution in the surrounding rock and the mathematical model of the distribution of the tunnel wind field are analyzed, and a suitable physical and physical model is set up, and the surrounding rock of the heading face is used by the FLUENT software. The internal temperature distribution and the thermal environment distribution of the working face are simulated, and the thermal environment of the heading face is evaluated using the age of air and the PMV-PPD index. The influence of different factors on the thermal environment of the working face is analyzed by numerical simulation, and the distribution of temperature field, velocity field, air age and PMV-PPD distribution under different conditions is compared. The results of the numerical simulation are based on the particle swarm optimization (PSO) optimization support vector machine (SVM) thermal environment prediction model for the driving face. Then, on the basis of the heat source analysis of the heading face, the calculation formula of the cooling capacity is derived from the conservation of energy, and the relationship between the cooling capacity of the working face and the heat dissipation of the heat source is analyzed, and 13 of the calculation is calculated. The cooling capacity of the 04N heading face is 580.5kW. According to this, a reasonable suggestion for selecting the cooling capacity of the air cooler is given. According to the simulation of the installation position of the different air cooler, the influence on the cooling and cooling of the working face is analyzed. The study shows that the temperature field of the surrounding rock is influenced by the temperature of the air supply and the air volume, and the temperature is determined to change within a certain range. The amount of heat, the size of the air volume determines the heat transfer capacity, the air supply temperature, the air supply volume and the head-on distance have a certain influence on the thermal environment of the heading face. Reducing the air supply temperature can effectively improve the thermal environment, the increase of the air volume has limited effect on the thermal environment, the increase of excessive even negative effect, the closer to the head-on, the thermal environment of the working face. The better, considering the actual situation 5-8m is more suitable. The thermal environment prediction results based on the SVM model show that the model has high prediction accuracy and fast operation. It is a relatively scientific model and can be used in the prediction of the thermal environment. The 1 air-cooled air coolers with 1 refrigerating quantities at the range of head-on 350m-200m can make the 1304N working face better. The effect of cooling.
【学位授予单位】：西安科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TD727.2

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