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Yubo Liu, Baozhong Ma, Jiahui Cheng, Xiang Li, Hui Yang, Chengyan Wang, and Yongqiang Chen, Advanced isoconversional kinetic analysis of lepidolite sulfation product decomposition reactions for selectively extracting lithium, Int. J. Miner. Metall. Mater., (2026). https://doi.org/10.1007/s12613-025-3219-2
Yubo Liu, Baozhong Ma, Jiahui Cheng, Xiang Li, Hui Yang, Chengyan Wang, and Yongqiang Chen, Advanced isoconversional kinetic analysis of lepidolite sulfation product decomposition reactions for selectively extracting lithium, Int. J. Miner. Metall. Mater., (2026). https://doi.org/10.1007/s12613-025-3219-2
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锂云母硫化产物分解反应的等转化率动力学分析及其在选择性提锂中的应用

摘要: 锂云母硫酸化–焙解工艺已被证实可高效实现锂的选择性提取,为阐明锂云母硫化产物焙解过程的热化学行为及动力学参数,优化锂的选择性提取工艺,采用热重分析结合等转化率热分析动力学方法开展研究。以锂云母为原料,在最优硫酸化条件下制备硫化产物,进行不同升温速率(5、10、15 K/min)的热重分析。结果表明,升温过程存在两个主要失重区域,分别对应结晶水脱除和硫化产物分解,且分解区出现重叠峰。采用Asym2Sig解卷积函数将重叠峰分离为两个独立峰(Peak 1和Peak 2),拟合系数均大于0.99,分别对应简单硫酸盐和复杂硫酸盐的分解。运用FDM、FWO、KAS、PPS和AIC五种等转化率方法计算表观活化能,发现Peak 1活化能随转化率增加而升高(164.45~220.80 kJ/mol),Peak 2则随之降低(239.14~169.73 kJ/mol)。结合CR法确定最优动力学机理模型均为随机成核随后生长模型。通过动力学补偿效应求解指前因子,并引入调整因子重构机理模型,显著提升了拟合精度。基于动力学分析,提出两步法优化焙解工艺:950 K下短时加热分解简单硫酸盐,980 K下长时间加热分解复杂硫酸盐。该研究为锂云母高效选择性提锂工艺的开发提供了理论依据。

 

Advanced isoconversional kinetic analysis of lepidolite sulfation product decomposition reactions for selectively extracting lithium

Abstract: The sulfation and decomposition process has proven effective in selectively extracting lithium from lepidolite. It is essential to clarify the thermochemical behavior and kinetic parameters of decomposition reactions. Accordingly, comprehensive kinetic study by employing thermalgravimetric analysis at various heating rates was presented in this paper. Two main weight loss regions were observed during heating. The initial region corresponded to the dehydration of crystal water, whereas the subsequent region with overlapping peaks involved complex decomposition reactions. The overlapping peaks were separated into two individual reaction peaks and the activation energy of each peak was calculated using isoconversional kinetics methods. The activation energy of peak 1 exhibited a continual increase as the reaction conversion progressed, while that of peak 2 steadily decreased. The optimal kinetic models, identified as belonging to the random nucleation and subsequent growth category, provided valuable insights into the mechanism of the decomposition reactions. Furthermore, the adjustment factor was introduced to reconstruct the kinetic mechanism models, and the reconstructed models described the kinetic mechanism model more accurately for the decomposition reactions. This study enhanced the understanding of the thermochemical behavior and kinetic parameters of the lepidolite sulfation product decomposition reactions, further providing theoretical basis for promoting the selective extraction of lithium.

 

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