摘要
采用硫酸和H_(2)O_(2)溶液浸出废旧磷酸铁锂(LFP)电池正极材料中的铁和磷,建立了全析因模型。方差和残差分析结果表明,该模型设计可靠,根据该模型判断出硫酸浓度、浸出时间、浸出温度、固液比和硫酸与H_(2)O_(2)溶液的体积比(简称体积比)为对铁、磷元素浸出率影响显著的因素,浸出时间与浸出温度以及浸出时间与体积比为影响显著的二阶交互效应。模型优化结果表明,在硫酸浓度2.47 mol/L、浸出时间149.7 min、浸出温度69.1℃、固液比10.0 g/L、体积比1.0的最优条件下,由模型计算得到的铁、磷元素浸出率最高,达到95.55%和90.32%,与验证实验结果94.71%和90.06%十分吻合。
A full factorial model was established for leaching of iron and phosphorus from the cathode materials of spent LFP batteries using sulfuric acid and H_(2)O_(2) solution.The results of variance and residual analysis show that the model is reliable.According to the model,the factors affecting the leaching rate of iron and phosphorus are determined,such as:sulfuric acid concentration,leaching time,leaching temperature,solid-liquid ratio and the volume ratio of sulfuric acid to H_(2)O_(2) solution.Leaching time and leaching temperature,leaching time and volume ratio are the significant second-order interaction effects.The model optimization results show that under the optimal conditions of sulfuric acid concentration 2.47 mol/L,leaching time 149.7 min,leaching temperature 69.1℃,solid-liquid ratio 10.0 g/L and volume ratio 1.0,the highest calculated leaching rate of iron and phosphorus can reach 95.55%and 90.32%,which are in good agreement with the experimental data of 94.71%and 90.06%.
作者
马玉华
龚波林
MA Yuhua;GONG Bolin(School of Information Technology,Ningxia Vocational Technical College of Industry and Commerce,Yinchuan 750021,China;College of Chemical Science and Engineering,North Minzu University,Yinchuan 750030,China)
出处
《化工环保》
CAS
CSCD
北大核心
2022年第4期428-434,共7页
Environmental Protection of Chemical Industry
基金
湖南省自然科学基金项目(2019JJ50206)。
关键词
废旧电池
磷酸铁锂
全析因模型
回收
浸出
spent battery
lithium iron phosphate
full factorial model
recovery
leaching
