首页> 外文期刊>Fermentation >Computing the Composition of Ethanol-Water Mixtures Based on Experimental Density and Temperature Measurements
【24h】

Computing the Composition of Ethanol-Water Mixtures Based on Experimental Density and Temperature Measurements

机译:根据实验密度和温度测量值计算乙醇-水混合物的成分

获取原文
           

摘要

Two correlations were developed to calculate the composition of binary ethanol-water solutions from experimental temperature and density inputs. The first correlation is based on a Redlich-Kister (R-K) expansion and computes mixture composition within an average accuracy of ±0.45 wt.%. The R-K model is a non-linear function of composition and therefore requires the use of an iterative solving tool. A polynomial correlation was additionally developed which utilizes a direct solving method, and computes ethanol composition over a range of 0–100 wt.% [283.15–313.15 K] with an accuracy better than ±0.37 wt.%. The polynomial model is particularly advantageous as it can be tailored to specific composition ranges for increased accuracy. Both correlations are intended to provide a method for monitoring ethanol concentration within a chemical process in real time without off-line sample analysis, allowing for precise in-situ system control and optimization.
机译:建立了两种相关性,可以根据实验温度和密度输入来计算二元乙醇水溶液的组成。第一个相关性基于Redlich-Kister(R-K)展开,并以±0.45 wt。%的平均精度计算混合物组成。 R-K模型是成分的非线性函数,因此需要使用迭代求解工具。还开发了多项式相关性,该多项式相关性使用直接求解方法,并且可以在0–100 wt。%[283.15–313.15 K]的范围内计算乙醇成分,精度优于±0.37 wt。%。多项式模型特别有利,因为可以针对特定的成分范围进行调整以提高准确性。两种相关性旨在提供一种无需离线样品分析即可实时监测化学过程中乙醇浓度的方法,从而实现精确的原位系统控制和优化。

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