Beijing , China

Transcription

1 2016 International Conference on Advanced Materials Science and Technology (AMST 2016) ISBN: Research on Analysis of Tailing Mineral Materials Based on Chemical Analysis and Spectral Measurement Zhi-hong AN 1,2, Hong-feng NIE 2 and Ze-rong QI 2 1 School of Earth and Space Sciences, Peking University, Beijing100871, China 2 China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing , China Keywords: Tailings mineral materials, X-ray diffraction analysis, Silicates analysis, Spectroscopy detection, Spectral measurement. Abstract. Tailings are the election of the remaining ore concentrate in solid waste in particular economic and technical conditions, which contains a number of useful mineral materials. This research collected some samples from vanadium-titanium magnetite tailings, and operated spectral measurements and chemical analysis in the laboratory. Research can improve material analysis methods and mechanisms. Firstly, X-ray diffraction analysis, silicates analysis and spectroscopy detection. It is found that the main mineral composition is plagioclase, chlorite, calcite and quartz. Their content is relatively stable, the material component is insignificant. The main chemical composition was SiO 2 and Fe 2 O 3, about 20% or more, 30% of single-element O, 20% of Si, Fe 18% and so on. Secondly, spectrometer measurement. There is little change in spectral reflectance. Spectral characteristics of reflectance curve of analog spectral on TM band were entirely consistent with their of spectral reflectance curves of Samples measured, but measured spectral reflectance curves showed more obvious reflection peak and absorption peak. Therefore, analyzing mineral composition and tailing materials, using remote sensing technology, physical and chemical test method, can explore the inner links and coupling relationship of tailings. Introduction Figure 1. The tailings pond and Sampling position. 32

2 According to the theory of electromagnetic waves, the reflection spectrum of the substance depended on the material composition, particle size and spectral measurement conditions[1-3]. In theory, humidity and the measurement conditions are the same, as long as the same ingredients, in fact, the measured spectrum should be basically the same. Since the end of the mineral particles of fine, evenly distributed, under the same conditions dried tailings samples, spectral measurement conditions are the same, actually measured spectrum, essentially determined by the material composition of tailings samples. Samples X-ray powder diffraction analysis test results showed that the samples collected in the field, the detection of rocks, minerals identical composition in an amount almost equal, indicating a uniform distribution of matter tailings samples. The same sample spectrum measurement results also show that the spectral data of the same tailings sample did not change with the measurement position. This is why remote sensing technology can apply to research tailings composition and the physical content. The vanadium-titanium magnetite tailings located in Chengde Region. Tailings samples in a dry place on surface were collected 4, numbered G1-1, G1-2, G1-3, G1-4. Chemical Analysis of Sample X-ray Diffraction Analysis X-ray diffraction analysis studies spatial distribution of atoms inside the material and structure analysis using X-ray diffraction of crystals. The X-ray irradiation with a certain wavelength when the crystalline material, X-rays due to meet regular arrangement of atoms or ions in the crystalline scattering occurs, the scattered X-rays in the direction of some phase be strengthened, so as to display and crystallization structure corresponding to the specific phenomenon of diffraction. Vanadium-titanium magnetite tailings samples were subjected to X-ray diffraction analysis, the main component of plagioclase, chlorite, calcite, quartz, plagioclase which content: 35% - 42% chlorite content: 27%-29, calcite content: 6%--12%, silica content: 5-8, less than 5% of other minerals. From the main components of the sample analysis, molybdenum, vanadium-titanium magnetite, mainly consisting of mineral gold mine tailings samples, the content is relatively stable. Table 1. X-ray diffraction analysis of the data report. Mineral name or chemical formula G1-1 G1-2 G1-3 G1-4 quartz Plagioclase Feldspar / / / / Amphibole / / / / Biotite / / / / amphibole Silicate Chemical Analysis, Spectroscopy Detection Silicate samples were collected for chemical analysis is the main chemical components: SiO2, Al2O3, Fe2O3, CaO, MgO, K2O, Na2O, SO3, H2O, burning loss and other contents were quantitatively analyzed. Relative X-ray diffraction analysis, chemical analysis of silicate and high precision, is a quantitative analysis method can more accurately determine the composition and content of compounds consisting of. Silicate tailings samples for chemical analysis and spectroscopy detection. The chemical analysis results are shown in Table 2, spectroscopy test results are shown in Table 3. As can be seen from Table 2, the iron ore tailings main chemical ingredient is SiO2 and Fe2O3, about 20% or more. EDS detection result is a single component content of chemical elements can be seen from Table 3, tailings main chemical elements O, content in more than 30%; followed by Si, the content of about 20%; the content of other chemical elements 33

3 are below 20%, Fe content of about 18%, molybdenum Mg content of 7%, Al content of 6%.From a single chemical elements to see, in addition to the O element, a high content of iron ore tailings. Table 2. Chemical analysis. Sample Number Testing G1-1 G1-2 G1-3 G1-4 tailings species s iron ore iron ore iron ore iron ore GB/T SiO CaO Routine testing project Routine testing project MgO Fe2O3 Al2O3 K2O Na2O SO3 Water Content Loss on ignition sum Table 3. EDX results. Sample Number G1-1 G1-2 G1-3 G1-4 tailings species iron ore iron ore iron ore iron ore C O F Na Mg Al Si P S K Ca Ti V 0.11 Mn Fe Zn 34

4 Spectral Analysis of Sample By using Spectrometer named Field Spec Pro carry out the spectral measurement of samples collected in the field, analyze reflectance characteristics of and differences the tailings samples. Each measurement is about 10g sample placed in the glass, the probe as close as possible facing the samples, but do not touch the sample. Instruments to measure spectral wavelength range: 0.35µm- 2.50µm, measured spectral sampling interval is 0.001µm, each of the samples once spectrum measurement, the instrument is actually made five spectral measurements give 5 spectra were recorded, each spectrum 2151 recorded spectral data. In order to reduce measurement errors, generally each sample spectral measurements three times to give 15 spectra were recorded. The final sample spectral data based on an average of the 15 spectra were recorded instead. Table 4 is a sample D1-1, mean and part of the spectrum measurement results D1-2, D1-3 poor. As seen from the table, relative to the average spectral reflectance, the ratio of the from the mean of the maximum does not exceed 10%, indicating that the measurement error is small, the average spectral data may be representative of the actual sample. Since each of the measured spectral reflectance data up to 2151, listed here only part of the data, other data is not listed also have similar characteristics. Table 4. Tailings spectral reflectance mean and. D1-1 D1-2 D1-3 wavelength Summary The X-ray diffraction, silicate chemical analysis, spectroscopy detection, spectral measurement and other laboratory methods were used to analyze and measure the tailings samples in the study. we accurately identified mineral materials and material composition of Chengde vanadium-titanium magnetite tailings, and further explored the inherent linkages of different advanced materials research methods, and provided important basic data and important basis for the next comprehensive utilization of tailings materials. References [1] Yan YZ, Yang YH. Monitoring and analysis of tailing ponds based on 3S technology [J]. Journal of Changzhou Institute of Technology, 2012, 25(1):

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