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作 者:魏薇 吴振鹏 管淑婷 邓丽君 WEI Wei;WU Zhen-peng;GUAN Shu-ting;DENG Li-jun(College of Resource and Environment,Jilin Institute of Chemistry and Technology,Jilin,Jilin 132022,China)
机构地区:[1]吉林化工学院资源与环境工程学院,吉林吉林132022
出 处:《电池》2023年第4期466-469,共4页Battery Bimonthly
基 金:吉林省科技厅重点研发项目(20210203127SF);吉林化工学院科技项目(2016046)。
摘 要:为充分回收利用废旧锌锰电池中所含锰资源,避免产生环境污染和危害人体健康,研究利用废旧锌锰电池所含MnO_(2)制备KMnO_(4)的技术。采用正交设计与BP神经网络模型相结合的方法,对制备条件进行确定和优化。最佳制备条件为:将从废旧锌锰电池中回收的红棕色MnO_(2)粉末,按照锰粉、氯酸钾和氢氧化钾质量比1.0∶1.1∶1.7的条件研磨、混匀,再在马弗炉中于400℃煅烧2 h。最佳条件下,KMnO_(4)产率最高达88.72%,可基本实现废旧电池中MnO_(2)粉末的回收及再利用。In order to fully recycle the manganese resources contained in spent zinc manganese batteries and avoid environmental pollution and human health hazards,the technology of preparing KMnO_(4) by using MnO_(2) contained in spent zinc manganese batteries was studied.The orthogonal array design and BP neural network model were combined to determine and optimize the conditions of the preparation.The optimum conditions were as follows:the reddish-brown MnO_(2) powder recovered from spent zinc manganese batteries was ground and mixed when the mass ratio of manganese powder,potassium chlorate and potassium hydroxide was 1.0∶1.1∶1.7,the mixture was calcined for 2 h at 400 ℃ in muffle furnace.Under the optimum conditions,the yield of KMnO_(4) was highest to 88.72%,which basically achieved the recovery and reuse of MnO_(2) powder in spent zinc manganese batteries.
关 键 词:废旧锌锰电池 MnO_(2) KMnO_(4) 正交设计 BP神经网络模型
分 类 号:TM911.15[电气工程—电力电子与电力传动]
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