Upgrading low quality barite-bearing ore from Azare, Bauchi State, Nigeria: multiparametric modeling and optimization of the beneficiation process

IF 1.827 Q2 Earth and Planetary Sciences
Oluwafemi Fadayini, Andrew Nosakhare Amenaghawon, Emmanuel O. Aluyor
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Abstract

Barite is an inorganic mineral mainly constituted by barium sulfate (BaSO4) which finds applications across a variety of industries. Low quality barite can be beneficiated to meet high-purity requirement. Thus, in this work, we developed an optimum beneficiation process for upgrading barite-bearing ore from Azare in Bauchi State, Nigeria. The optimum condition for the beneficiation was established using response surface methodology (RSM) while the beneficiated barite was characterized using standard tests such as scanning electron microscopy (SEM), Fourier transform infrared (FTIR) spectroscopy, X-ray fluorescence (XRF) and X-Ray diffraction (XRD). After beneficiation, the specific gravity and other properties, such as moisture content were determined and found within acceptable standards, indicating that impurities were removed. XRD structural patterns revealed highly crystalline peaks after treatment, while XRF analysis indicated BaSO4 as the primary component with reduced gangue impurities. The presence of barite in the samples was evidenced by the identified absorption peaks from FTIR analysis. Surface morphology characteristics revealed that the barite morphology changed significantly following beneficiation. The results of the beneficiation process showed that for the optimized process using RSM, the maximum yield of BaSO4 obtained was 99.78%. The properties of the barites obtained under the optimized conditions were all within the API standard. Accordingly, the beneficiated barite sample has prospective applications in drilling mud formulation, pharmaceuticals, medicine, rubber, paint, ceramics and glass industries.

Abstract Image

Abstract Image

尼日利亚包奇州阿扎雷的低质重晶石矿石升级:选矿工艺的多参数建模与优化
重晶石是一种无机矿物,主要成分是硫酸钡(BaSO4),可应用于各行各业。低品质重晶石可以通过选矿达到高纯度要求。因此,在这项工作中,我们开发了一种最佳选矿工艺,用于提升尼日利亚包奇州 Azare 含重晶石矿石的品质。采用响应面方法论(RSM)确定了最佳选矿条件,同时采用扫描电子显微镜(SEM)、傅立叶变换红外光谱(FTIR)、X 射线荧光(XRF)和 X 射线衍射(XRD)等标准测试对选矿重晶石进行了表征。选矿后,测定了比重和其他属性,如水分含量,结果显示在可接受的标准范围内,表明杂质已被去除。XRD 结构图显示处理后出现了高结晶峰,而 XRF 分析表明 BaSO4 是主要成分,煤矸石杂质有所减少。通过傅立叶变换红外光谱分析确定的吸收峰证明了样品中重晶石的存在。表面形态特征表明,重晶石的形态在选矿后发生了显著变化。选矿过程的结果表明,在使用 RSM 进行优化的过程中,BaSO4 的最高产率为 99.78%。在优化条件下获得的重晶石的性质均符合 API 标准。因此,选矿重晶石样品在钻井泥浆配方、制药、医药、橡胶、油漆、陶瓷和玻璃行业中具有广阔的应用前景。
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来源期刊
Arabian Journal of Geosciences
Arabian Journal of Geosciences GEOSCIENCES, MULTIDISCIPLINARY-
自引率
0.00%
发文量
1587
审稿时长
6.7 months
期刊介绍: The Arabian Journal of Geosciences is the official journal of the Saudi Society for Geosciences and publishes peer-reviewed original and review articles on the entire range of Earth Science themes, focused on, but not limited to, those that have regional significance to the Middle East and the Euro-Mediterranean Zone. Key topics therefore include; geology, hydrogeology, earth system science, petroleum sciences, geophysics, seismology and crustal structures, tectonics, sedimentology, palaeontology, metamorphic and igneous petrology, natural hazards, environmental sciences and sustainable development, geoarchaeology, geomorphology, paleo-environment studies, oceanography, atmospheric sciences, GIS and remote sensing, geodesy, mineralogy, volcanology, geochemistry and metallogenesis.
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