• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Cryogenics >Cryogenic adsorption of nitrogen on activated carbon: Experiment and modeling
【24h】

Cryogenic adsorption of nitrogen on activated carbon: Experiment and modeling

机译：氮在活性炭上的低温吸附：实验与造型

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

A cryo-sorption device was built based on a commercial gas sorption analyzer with its sample chamber connected to the 2nd stage of the Gifford-McMahon (GM) cryocooler (by SUMITOMO Corporation), which could provide the operation temperature ranging from 4.5 K to 300 K; The nitrogen adsorption isotherms ranging from 95 to 160 K were obtained by volumetric method on the PICATIF activated carbon. Isosteric heat of adsorption was calculated using the Clausius-Clapeyron equation and was around 8 kJ/mol. Conventional isotherm models and the artificial neural network (ANN) were applied to analyze the adsorption data, the Dual-site Langmuir and the Toth equation turned out to be the most suitable empirical isotherm model; Adsorption equilibrium data at some temperature was used to train the neural network and the rest was used to validate and predict, it turned out that the accuracy of the prediction by the ANN increased with increasing hidden-layer, and it was within +/- 5% for the three-hidden-layer ANN, and it showed better performance than the conventional isotherm model; Considering large time consumption and complexity of the adsorption experiment, the ANN method can be applied to get more adsorption data based on the already known experimental data.
机译：基于商用气体吸附分析仪构建了一种冷冻吸附装置，其样品室连接到Gifford-McMahon（GM）冷冻室（由Sumitomo Corporation）的第二级，其可以提供从4.5 k到300的操作温度范围k;通过在Picatif活性炭上的体积法测定的氮吸附等温线从95-160克获得。使用Clausius-clapyyron方程计算的粘附性吸附热量，约为8kJ / mol。常规等温线模型和人工神经网络（ANN）被应用于分析吸附数据，双地朗马尔和TOTH方程已成为最合适的经验等温模型;在一些温度下使用吸附平衡数据用于培训神经网络，其余用于验证和预测，结果证明，ANN预测的准确性随着隐藏层的增加而增加，它在+/- 5内增加三层层ANN的百分比，它显示出比传统等温线的性能更好;考虑到吸附实验的大时间消耗和复杂性，ANN方法可以应用于基于已知的实验数据获得更多的吸附数据。

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