响应曲面法优化废铂催化剂中难溶颗粒HCl-DCEA体系回收工艺
Optimization of recovery process for insoluble particles from waste platinum catalyst by HCl-DCEA system using response surface methodology
曹耀华 1彭大源 1张勤 1刘源 2杨洪英1
作者信息
- 1. 东北大学 冶金学院,辽宁 沈阳 110819;东北大学 多金属矿生态冶金重点实验室,辽宁 沈阳 110819
- 2. 中国地质大学(武汉)环境学院,湖北 武汉 430078
- 折叠
摘要
全溶解法回收废铂催化剂在实际生产过程中仍有难溶物沉积,造成二次污染及铂族资源浪费.本研究将难溶颗粒进行破碎细磨后,取300 目左右粉体焙烧,然后将所得粉体在HCl-DCEA体系中进行浸出,考察反应时间、反应温度、液固比、盐酸浓度及DCEA浓度对铂浸出率的影响,并选择具有显著影响的液固比、盐酸浓度及DCEA浓度因素进行响应曲面优化试验.结果表明,对铂浸出率影响的显著顺序为DCEA浓度>液固比≈盐酸浓度;优化后的工艺条件为浸出时间2h、浸出温度70℃、液固比6:1、盐酸浓度2.35 mol/L、DCEA浓度0.09 mol/L,该条件下对废铂催化剂进行回收处理,总回收率达到99.64%.
Abstract
In the actual production process of recovering waste platinum catalysts using the total dissolution method,there are still insoluble deposits,resulting in secondary pollution and waste of platinum group resources.In this study,insoluble particles were crushed and finely ground,and about 300 mesh powders were calcined.The obtained powders were then leached in the HCl-DCEA system to investigate the effects of reaction time,reaction temperature,liquid-solid ratio,hydrochloric acid concentration,and DCEA concentration on platinum leaching rate.Significant factors such as liquid-solid ratio,hydrochloric acid concentration,and DCEA concentration were selected for response surface optimization experiments.The results indicate that the significant order of influence on platinum leaching rate is DCEA concentration>liquid-solid ratio≈hydrochloric acid concentration;The optimized process conditions are leaching time of 2 hours,leaching temperature of 70℃,liquid-solid ratio of 6:1,hydrochloric acid concentration of 2.35 mol/L,and DCEA concentration of 0.09 mol/L.Under these conditions,the waste platinum catalyst is recovered and treated,with a total recovery rate of 99.64%.
关键词
废催化剂/铂回收/难溶颗粒/细磨-焙烧-酸浸/酸性DCEA体系/选择性浸出/响应曲面法Key words
waste catalyst/platinum recovery/insoluble particles/fine grinding roasting acid leaching/acidic DCEA system/selective leaching/response surface method引用本文复制引用
基金项目
辽宁省揭榜挂帅项目(科技攻关专项)(2022JH1/10400024)
国家自然科学基金(52274348)
出版年
2024
NETL
NSTL
万方数据