某废旧锂离子动力电池混合电极粉末分选试验  

Pyrolysis-Beneficiation Experiment on a Mixed Electrode Powder for a Spent Lithium-ion Batteries

在线阅读下载全文

作  者:刘超 刘勇 陈志强 刘牡丹 胡红喜 杨记平 LIU Chao;LIU Yong;CHEN Zhiqiang;LIU Mudan;HU Hongxi;YANG Jiping(Institute of Resources Utilization and Rare Earth Development,Guangdong Academy of Sciences,Guangzhou 510650,China;State Key Laboratory of Rare Metals Separation and Comprehensive Utilization,Guangzhou 510650,China;Guangdong Province Key Laboratory of Mineral Resource and Comprehensive Utilization,Guangzhou 510650,China)

机构地区:[1]广东省科学院资源利用与稀土开发研究所,广州510650 [2]稀有金属分离与综合利用国家重点实验室,广州510650 [3]广东省矿产资源开发与综合利用重点实验室,广州510650

出  处:《有色金属工程》2023年第11期64-69,共6页Nonferrous Metals Engineering

基  金:广东省科学院专项资金项目(2022GDASZH-2022010104,2023GDASZH-2023010104);国家重点研发计划项目(2020YFC1908904)。

摘  要:为了提高废旧锂电池材料的利用效率,减少湿法回收镍、钴等有价金属过程中的处理量、降低生产成本,对某废旧三元锂离子动力电池正负极混合电极粉末开展了物理分选试验研究。试验结果表明,采用热解预处理-物理分选工艺,取得了石墨精矿固定碳品位93.64%、回收率88.36%,正极粉末含镍15.18%、含Co 7.65%、含碳0.71%,回收率分别为Ni 94.55%、Co 95.25%的试验指标。工艺实现了绝大部分的正电极粉末与石墨的清洁、高效分离,为冶金湿法提取有价金属创造有利条件。In order to improve the utilization efficiency of spent lithium-ion batteries materials,reduce the processing capacity of wet recovery of valuable metals such as nickel and cobalt,and reduce the production cost,a physical separation test was carried out on the positive and negative mixed electrode powder of a waste ternary lithium battery.The test result shows that the graphite assaying C 93.64%at the recovery of 88.36%,the positive powder assaying Ni 15.18%,Co 7.65%and C 2.90%at the recovery of Ni 94.55%and Co 95.25%,were obtained respectively using the process of pyrolysis-beneficiation.The process achieved clean and efficient separation of positive electrode powder and graphite which created favorable conditions for wet metallurgical extraction of valuable metals.

关 键 词:废旧动力电池 混合电极粉末 热解预处理 分选 正电极粉末 石墨 

分 类 号:TD913[矿业工程—选矿]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象