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超声辅助碳酸锂沉淀过程中的粒径分布控制

Controlled Particle Size Distribution in Ultrasound-Assisted Lithium Carbonate Precipitation.

作者信息

Aprilianto Doni Riski, Perdana Indra, Aluicius Irwan Endrayanto, Adi-Kusumo Fajar, Petrus Himawan Tri Bayu Murti

机构信息

Department of Chemical Engineering, Faculty of Engineering, Unversitas Gadjah Mada, Jalan Grafika No. 2 Kampus UGM Bulaksumur, D.I. Yogyakarta 55281, Indonesia.

Department of Mathematics, Faculty of Mathematics and Natural Science, Universitas Gadjah Mada, Kampus UGM Bulaksumur, D.I. Yogyakarta 55281, Indonesia.

出版信息

ACS Omega. 2025 Jul 14;10(29):32226-32245. doi: 10.1021/acsomega.5c04035. eCollection 2025 Jul 29.

Abstract

This study investigates ultrasound-assisted precipitation (sonocrystallization) as a method to precisely control lithium carbonate (LiCO) particle formation from a lithium-rich solution of spent lithium-ion batteries. In addition to its high purity, to meet battery-grade standards, the LiCO precipitates must exhibit well-defined particle size distribution. By controlling the nucleation and growth rates through the simultaneous adjustment of ultrasound power and temperature, both the particle size and morphology of the precipitates can be accurately defined. A detailed kinetic analysis was performed to evaluate the effects of ultrasound power and temperature on the precipitation process. The proposed kinetic model combining population balance and a compartment-based discretization approach accurately simulated the particle size distribution. The model provided general kinetic parameters for nucleation and particle growth as functions of the process variables. Experimental validation showed that increased ultrasound power reduced the particle size and improved uniformity, while lower temperatures promoted smaller particles due to the distinct crystallization behavior of the endothermic process. Compared to conventional stirring precipitation, which results in larger agglomerated morphologies, the ultrasound-assisted precipitation yielded non-agglomerated particles. Under the optimal condition (320 W, 90 °C), the process achieved particle sizes of = 2.85 μm, = 5.5 μm, and = 14.55 μm, meeting industrial specifications. These experimental and kinetic simulation findings provide general insight into controlling the particle size through sonocrystallization, particularly to support scalable battery-grade LiCO recovery from secondary sources.

摘要

本研究考察了超声辅助沉淀法(声结晶法),该方法用于精确控制从废旧锂离子电池的富锂溶液中形成碳酸锂(LiCO)颗粒。除了高纯度外,为满足电池级标准,LiCO沉淀物必须呈现明确的粒度分布。通过同时调节超声功率和温度来控制成核和生长速率,沉淀物的粒度和形态均可得到精确界定。进行了详细的动力学分析,以评估超声功率和温度对沉淀过程的影响。所提出的结合种群平衡和基于隔室离散化方法的动力学模型准确模拟了粒度分布。该模型提供了作为过程变量函数的成核和颗粒生长的一般动力学参数。实验验证表明,增加超声功率会减小颗粒尺寸并提高均匀性,而较低温度由于吸热过程独特的结晶行为会促进形成更小的颗粒。与导致形成更大团聚形态的传统搅拌沉淀相比,超声辅助沉淀产生的是非团聚颗粒。在最佳条件(320W,90°C)下,该过程实现的颗粒尺寸为 = 2.85μm, = 5.5μm, = 14.55μm,符合工业规格。这些实验和动力学模拟结果为通过声结晶控制颗粒尺寸提供了一般性见解,特别是为从二次来源规模化回收电池级LiCO提供了支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5561/12311646/de74224cbc5a/ao5c04035_0001.jpg

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