首页> 外文期刊>Hydrometallurgy >Development of an engineering model for nickel loading onto an iminodiacetic resin for resin-in-pulp applications: Part II - Evaluation of existing models and their extension into a hybrid correlation
【24h】

Development of an engineering model for nickel loading onto an iminodiacetic resin for resin-in-pulp applications: Part II - Evaluation of existing models and their extension into a hybrid correlation

机译:纸浆树脂应用中亚胺二乙酸树脂上镍负载工程模型的开发:第二部分-现有模型的评估及其扩展到混合关联中

获取原文
获取原文并翻译 | 示例
       

摘要

This paper examines the applicability of several engineering models to the case of nickel loading onto an iminodiacetic chelating resin, under infinite solution volume conditions. Results showed that the Vermeulen model for intraparticle diffusion and the second order reaction model were best able to predict the shape of individual test runs. However, none of the models examined was able to fit data over the entire test range of 50-5000 ppm nickel, using a single fit parameter. A two-parameter hybrid correlation was developed which was able to provide a good fit to the data over this concentration range at two different resin bead size fractions. This hybrid correlation was fit to nickel loading onto a second iminodiacetic resin, as well as to copper and cobalt loading onto the first resin tested. The correlation showed versatility in being able to provide adequate fits to all data sets, and the order of magnitude of the empirical diffusivities is similar to self-diffusion coefficients reported in the literature. Preliminary results suggest that the second fit parameter, a, is an indicator of how sharp a boundary exists between the reacted and unreacted portions of the ion exchange bead.
机译:本文研究了几种工程模型在无限溶液体积条件下将镍加载到亚氨基二乙酸螯合树脂上时的适用性。结果表明,Vermeulen颗粒内扩散模型和二级反应模型最能预测各个试验运行的形状。但是,使用单个拟合参数,没有一个模型能够在50-5000 ppm镍的整个测试范围内拟合数据。开发了一种两参数混合相关性,它能够在两个不同的树脂珠粒大小分数下,在此浓度范围内很好地拟合数据。这种混合相关性适合于将镍负载到第二亚氨基二乙酸树脂上,以及将铜和钴负载到第一测试树脂上。相关性显示了能够为所有数据集提供适当拟合的通用性,并且经验扩散的数量级与文献中报道的自扩散系数相似。初步结果表明,第二拟合参数a指示离子交换珠的反应部分与未反应部分之间的边界有多清晰。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号