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Liberation characteristics of pyrite and other ash-forming minerals from coal.

机译:黄铁矿和其他煤成灰矿物的释放特性。

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The measurement and prediction of liberation spectra for multiphase ores have long attracted mineral engineers and particle scientists since Gaudin's time, but the research in both aspects has progressed rather slowly, chiefly because of the lack of appropriate theories and facilities. In this work, the liberation spectra of pyrite and other ash-forming minerals from coal were successfully measured for the first time using SEM-AIA (scanning electron microscopy coupled with automated image analysis) technique. A liberation model for multiphase ore systems was also developed by means of alternating renewal theory.; In measuring the liberation spectra of pyrite and other ash-forming minerals from coal, comprehensive experimental work was performed. Coal Pittsburgh #8 1997 from Consol, Pittsburgh was chosen as a typical sample for this test. In the first place, image qualities were guaranteed by adopting a series of techniques, one of which was using iodoformed epoxy resin to separate the carbonate phase in coal from the epoxy resin background. In order to generate the kernel function of stereological correction for three-phase ore systems with the measurement of linear liberation spectra for coal, 12 narrow size and narrow density parent coal samples and 56 corresponding progeny samples were carefully prepared. More than 3000 images with good qualities were captured from sectioned samples. Liberation spectra for coal Pittsburgh #8 1997 were successfully measured by means of MMIA—a mineral processing software developed at the Utah Comminution Center. The author also showed how to directly use those experimental data to analyze liberation characteristics of coal without making stereological correction.; On the basis of successfully using the SEM-AIA technique to measure liberation spectra for broken coal particles, the SEM-AIA technique was subsequently adopted to examine the internal structure of unbroken coal. The internal structure of coal was then reasonably simplified, and, accordingly, a liberation model for three-phase ore systems was developed using the alternating renewal theory. Before the model was formulated, a pure mathematics problem, three-state sojourn time distribution, had been solved. In order to have the liberation model solvable, the general analytical solution of n-fold convolution for exponential sum functions was conquered. Finally, the predicted results of liberation spectra for coal Pittsburgh #8 1997, in different particle sizes, were presented and compared with the measured data.
机译:自高丁时代以来,多相矿石的释放光谱的测量和预测一直吸引着矿物工程师和颗粒科学家,但是这两个方面的研究进展都相当缓慢,这主要是因为缺乏适当的理论和设施。在这项工作中,首次使用SEM-AIA(扫描电子显微镜结合自动图像分析)技术成功地测量了煤中黄铁矿和其他成灰矿物的释放光谱。还通过交替更新理论开发了多相矿石系统的解放模型。在测量煤中黄铁矿和其他成灰矿物的释放光谱时,进行了全面的实验工作。匹兹堡康索尔公司的1997年第8号煤炭匹兹堡被选为该测试的典型样品。首先,采用一系列技术来保证图像质量,其中一项技术是使用碘仿环氧树脂将煤中的碳酸盐相与环氧树脂背景分离。为了通过测量煤的线性释放谱来生成三相矿石系统的立体校正核函数,精心准备了12个窄尺寸和窄密度的母煤样品和56个相应的后代样品。从切片样本中捕获了3000多个高质量图像。使用MMIA(犹他州粉碎中心开发的矿物处理软件)成功测量了1997年匹兹堡8号煤的释放光谱。作者还展示了如何直接使用这些实验数据来分析煤的释放特性,而无需进行立体校正。在成功使用SEM-AIA技术测量破碎煤颗粒的释放光谱的基础上,随后采用SEM-AIA技术检查未破碎煤的内部结构。然后合理地简化了煤的内部结构,并据此使用交替更新理论开发了三相矿石系统的释放模型。在建立模型之前,已经解决了纯数学问题,即三态停留时间分布。为了使解放模型可解,征服了指数和函数的n倍卷积的一般解析解。最后,介绍了1997年匹兹堡#8煤在不同粒径下的释放光谱的预测结果,并将其与实测数据进行了比较。

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