Performance Prediction Design and Scale Up of Multistage Column Extractors

多级塔萃取器的性能预测设计和放大

• 批准号: 8715345
• 负责人: Lawrence Tavlarides
• 金额: $ 6.5万
• 依托单位: Syracuse University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1987
• 资助国家: 美国
• 起止时间: 1987-07-01 至 1988-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8715345&HistoricalAwards=false
• 关键词: Performance; Prediction; Design; Scale; Up

This research program deals with the performance prediction, design, and scale up of extraction columns for reactive and non-reactive solvent extractions. To fulfill the objectives of the research, the analysis of mechanically agitated reactive dispersions in extraction columns will be undertaken with account being taken of: (1) droplet rate processes of coalescence and redispersion (2) macroscopic flow patterns of both phases (3) microscopic interphase transport processes (4) extraction equilibrium and chemical kinetics The results of the research will enable a more effective and reliable design of extractors to meet the increased demands on separation power, selectivity, performance prediction, and scale up of process equipment for important advanced technologies such as biochemical separations, dilute waste stream treatment, recovery of environmentally hazardous substances, nuclear fuel separations, and non-ferrous metal production through hydrometallurgical solvent extractions.

本研究计划涉及性能预测， 设计和放大用于反应性和 非反应性溶剂萃取。 为了实现的目标 机械搅拌反应的研究、分析 将在萃取柱中进行分散， 考虑到： (1)液滴速率聚结过程， 再分散 (2)两相宏观流型 (3)微观相间输运过程 (4)萃取平衡与化学动力学 研究结果将使一个更有效和 萃取器的可靠设计，以满足对 分离能力、选择性、性能预测，以及 工艺设备的规模扩大，用于重要的先进 生物化学分离、稀释废物等技术 河流处理、回收对环境有害的 核燃料分离和有色金属 通过湿法冶金溶剂萃取生产。