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用于从矿泥尾矿中回收铁的超声分散:通过分子动力学模拟揭示的微观过程

Ultrasonic Dispersion for Iron Recovery from Slime Tailings: Microprocesses Unveiled through Molecular Dynamics Simulations.

作者信息

Silva Lucas Andrade, Prates Letícia Maia, Pereira Alexandre Moni, Correia Julio Cesar Guedes, Marques Michelle Lacerda Sales, Filippova Inna V, Filippov Lev O

机构信息

Ministry of Science, Technology and Innovation (MCTI), Molecular Modeling Laboratory, Centre for Mineral Technology (CETEM), Av. Pedro Calmon, 900, Ilha da Cidade Universitária, Rio de Janeiro, RJ 21941-908, Brazil.

Iron Ore Beneficiation Development Team, Vale S/A, Belo Horizonte, Minas Gerais 34006-270, Brazil.

出版信息

Langmuir. 2025 Mar 25;41(11):7235-7250. doi: 10.1021/acs.langmuir.4c03676. Epub 2025 Mar 17.

Abstract

Chemical dispersion has been commonly used to mitigate the negative effects of ultrafine particles in iron ore concentration processes. However, mechanical solutions such as ultrasound are proving to be more effective and without harmful side effects. This study compared the performance of different dispersants and ultrasound as pretreatments for reverse cationic flotation of goethite-rich slime tailings through sedimentation, dispersion, and flotation tests, along with particle size analysis. Additionally, large-scale molecular dynamics simulations were used for the first time to investigate the effects of ultrasonic shockwaves on mineral particle interactions. The results showed that ultrasonication is a superior pretreatment, enhancing particle dispersion and separation performance, cleaning mineral surfaces, and improving flotation results. Ultrasound achieved an increase in metallurgical recovery of around 9% while using only a dispersant reagent did not reach 5%. Simulations demonstrated the known effects of ultrasound, such as extreme temperature, bubble cavitation, and particle detachment, revealing the crucial microscopic mechanisms involved in particle separation by sonic waves. This study bridges experimental data with computational simulations, offering a comprehensive understanding of ultrasonication's effects on particle separation, paving the way for more efficient and sustainable processing technologies.

摘要

化学分散法在铁矿石选矿过程中常用于减轻超细颗粒的负面影响。然而,事实证明,诸如超声波等机械方法更为有效且无有害副作用。本研究通过沉降、分散和浮选试验以及粒度分析,比较了不同分散剂和超声波作为富含针铁矿的细泥尾矿反阳离子浮选预处理方法的性能。此外,首次使用大规模分子动力学模拟来研究超声波冲击波对矿物颗粒相互作用的影响。结果表明,超声处理是一种优越的预处理方法,可增强颗粒分散和分离性能,清洁矿物表面并改善浮选结果。使用超声波可使冶金回收率提高约9%,而仅使用分散剂时回收率未达到5%。模拟结果证明了超声波的已知效应,如极端温度、气泡空化和颗粒脱离,揭示了声波作用下颗粒分离所涉及的关键微观机制。本研究将实验数据与计算模拟相结合,全面理解了超声处理对颗粒分离的影响,为更高效、可持续的加工技术铺平了道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c48e/11948480/005d52d9d857/la4c03676_0001.jpg

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