Modelling of size recovery curves for minerals in teeter bed separator for processing iron ore fines

Biswakant Pradhan , Ipsita Dipamitra Behera , Satyabrata Mohanta , Bhim Charan Meikap
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Abstract

Teeter bed separator has gained significant importance and appeared as a viable option for beneficiation of high alumina and low iron content Indian iron ore fines. Modelling particle separation in a Teeter bed separator from the first principles of particle mechanics and fluid dynamics has been challenging due to the complex interactions of forces acting on particles in varying flow regimes. So, the size recovery curve is a viable option for assessing the separation performance of this separator. This investigation systematically examines the suitability of the Teeter bed separator in reducing the alumina content in Indian iron ore fines. Thorough experimentation and statistical analysis confirm the separator's suitability for beneficiation. Careful consideration was also exercised in choosing a suitable mathematical model to characterize mineral size recovery curves. In this research work Modified Hyperbolic Tangent model, Hyperbolic Tangent model, Weibull model, Rosin-Rammler type model, Erasmus model, and Power function model have better fitted for size recovery. Out of which the Modified Hyperbolic Tangent models for all the data sets indicated the better ability to fit the size recovery data than other models. This innovative approach aligns with the principles of circular economy, aiming to optimize resource utilization and minimize waste throughout the production process. Furthermore, a suitable mathematical model is selected to represent the size recovery curves for minerals by adopting the statistical analysis approach to describe the process. The results may pave the way for the Indian iron ore beneficiation process to increase production yield and improve product quality for low-grade iron ore utilisation.

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铁矿粉跷跷板选矿机矿物粒度回收曲线建模
跷跷板床分离器已变得非常重要,并已成为选矿高铝低铁含量印度铁矿石细粉的可行选择。从颗粒力学和流体动力学的第一原理来模拟跷跷板床分离器中的颗粒分离是一项挑战,因为在不同的流动状态下,作用在颗粒上的力会产生复杂的相互作用。因此,粒度回收曲线是评估这种分离器分离性能的可行方法。这项调查系统地研究了跷跷板床分离器在降低印度铁矿石细粉中氧化铝含量方面的适用性。彻底的实验和统计分析证实了选矿机在选矿方面的适用性。在选择合适的数学模型来描述矿物粒度回收曲线时,也进行了仔细的考虑。在这项研究工作中,修正双曲切线模型、双曲切线模型、Weibull 模型、Rosin-Rammler 型模型、Erasmus 模型和幂函数模型更适合粒度回收。其中,针对所有数据集的修正双曲切线模型比其他模型更能拟合尺寸恢复数据。这种创新方法符合循环经济的原则,旨在优化资源利用,最大限度地减少整个生产过程中的浪费。此外,通过采用统计分析方法描述过程,选择了一个合适的数学模型来表示矿物的粒度回收曲线。研究结果可为印度铁矿石选矿工艺提高产量、改善低品位铁矿石产品质量铺平道路。
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来源期刊
CiteScore
8.40
自引率
0.00%
发文量
100
审稿时长
33 weeks
期刊介绍: The journal has a particular interest in publishing papers on the unique issues facing chemical engineering taking place in countries that are rich in resources but face specific technical and societal challenges, which require detailed knowledge of local conditions to address. Core topic areas are: Environmental process engineering • treatment and handling of waste and pollutants • the abatement of pollution, environmental process control • cleaner technologies • waste minimization • environmental chemical engineering • water treatment Reaction Engineering • modelling and simulation of reactors • transport phenomena within reacting systems • fluidization technology • reactor design Separation technologies • classic separations • novel separations Process and materials synthesis • novel synthesis of materials or processes, including but not limited to nanotechnology, ceramics, etc. Metallurgical process engineering and coal technology • novel developments related to the minerals beneficiation industry • coal technology Chemical engineering education • guides to good practice • novel approaches to learning • education beyond university.
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