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Prediction on adsorption ratio of carbon dioxide to methane on coals with multiple linear regression
The multiple linear regression equations for adsorption ratio of CO2/CH4 and its coal quality indexes were built with SPSS software on basis of existing coal quality data and its adsorption amount of CO2 and OH4. The regression equations built were tested with data collected from some s, and the influences of coal quality indexes on adsorption ratio of CO2/CH4 were studied with investigation of regression equations. The study results show that the regression equation for adsorption ratio of CO2/CH4 and volatile matter, ash and moisture in coal can be obtained with multiple linear regression analysis, that the influence of same coal quality index with the degree of metamorphosis or influence of coal quality indexes for same coal rank on adsorption ratio is not consistent. 相似文献
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某铜矿石铜矿物主要为黄铜矿,脉石矿物中主要是斜长石,分选过程中要求同时得到铜精矿和硫精矿。根据矿石性质,通过浮选条件试验和流程试验,结果如下:采用混合浮选—分离浮选流程,当磨矿细度为75%-0.076mm左右时,可获得的铜精矿含铜25.31%、含金6.7g/t,铜、金回收率分别为87.50%、84.52%。试验中未获得合格的硫精矿;采用一粗一扫二精选别流程,可获得单一的铜精矿。其铜品位与回收率分别为19.13%与88.13%,铜精矿含金5.33g/t,金的回收率为89.55%。方案Ⅰ铜精矿指标较好,方案Ⅱ流程简单、生产成本低。 相似文献
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针对煤解吸滞后过程解、吸附量和速度变化特征,提出了煤层气解吸滞后定量分析模型。根据煤解吸滞后现象分析,结合"墨水瓶"理论,通过引入滞后因子α,提出了煤吸附-解吸模型,揭示了煤吸附-解吸过程质量变化的解吸滞后机理;通过比较解、吸附过程速度,提出了考虑煤基质吸附-解吸过程孔隙率变化的扩散方程,该方程中扩散系数直接可以反映吸附-解吸过程时间异步问题。基于Comsol计算平台,实现了煤层气解吸滞后定量分析模型的数值求解。数值模拟结果显示不同煤阶煤样的等温吸附实验数据验证了α值的合理性,拟合数据表明随煤阶提高,α值越大,解吸滞后程度越大;吸附-解吸过程中扩散系数的变化趋势相反,吸附过程中扩散系数随时间减小,吸附速率随时间减小,解吸过程中,其值随时间增大,解吸速率随时间增大,通过扩散系数得到的解、吸附速率变化趋势与实验室结果一致,证明了此参数的合理性,进而可用来分析解吸滞后现象在时间上的变化趋势。 相似文献
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为了查明矿石性质,制定合理的选矿方案。采用显微镜鉴定、化学分析、X射线衍射分析、扫描电镜能谱分析等先进测试手段对矿石矿物组成、矿石的结构与构造、主要矿物嵌布特征及嵌布粒度、主要矿物单体解离度测定进行了详细的工艺矿物学研究。研究表明,该矿的主要有价元素为铜,主要以硫化铜形态存在,金、银作为伴生元素回收,硫也可以顺便回收。 相似文献
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某硫化铜矿低碱度浮选工艺研究 总被引:1,自引:0,他引:1
针对西部某低品位浸染型硫化铜矿进行了选矿试验研究.在低碱度下pH≈8.5,采用一粗、二精、二扫的工艺流程可获得含铜21.23%、回收率92.98%的铜精矿.该工艺流程简单,在低pH下,实现了铜矿物的有效浮选. 相似文献
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云南某多金属硫化矿中含锡1.22%、铜0.94%、砷2.80%、铁37.53%、硫24.56%,通过采用XRD、EDS、MLA、光学显微镜等分析方法和手段,对锡、铜、砷、铁、硫的赋存状态进行全面的分析,为综合回收提供了矿物学依据,对选矿采用合理的工艺流程具有重要的指导意义。 相似文献
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《国际露天开采、回填与环境杂志》2013,27(3):258-273
Life cycle management can assist the mining industry in meeting its stated sustainability commitments. This paper demonstrates how sustainability metrics formulated from a life cycle perspective can be quantified at the operational level using a process model of open cut coal strip mining. An understanding of the material and energy flows of a working pit enables the identification of key areas to target for improvement. The effect of operational changes can also be modelled to determine changes in overall mine sustainability metrics, whether they are more local in nature, such as respirable particulates, or of global concern, such as greenhouse gas emissions. This can facilitate the adoption of more eco-efficient methods of operation, particularly where the focus is on maximising the output of the mine's ultimate utility; namely energy. An example is presented of a more eco-efficient method of blasting which reduces in-pit coal losses. 相似文献