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基团法估算临界参数的改进

Improvement of Group Contribution Method for Estimation of Critical Parameters

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【作者】 马沛生王加宁李平

【Author】 Ma Peisheng \ \ Wang Jianing\ \ Li Ping (Department of Chemical Engineering, Tianjin University,Tianjin 310027)

【机构】 天津大学化工系

【摘要】 在系统整理大量临界数据的基础上,提出了临界性质的新基团估算法及基团贡献值,TC、PC、VC的平均误差分别为0.76、4.25、2.33%,此结果优于作为比较的Joback法。此外,本法还可用于长链化合物

【Abstract】 New group contribution correlations, which are based on systematical evaluation of critical data, for estimating critical properties have been proposed with contribution values of groups. The average deviations of T C,P C,V C are 0.76%, 4.25% and 2.33%respectively, and that are lower than those by Joback′s method chosen for comparison. In addition, this method can be used for longer chain compounds.

  • 【文献出处】 高校化学工程学报 ,JOURNAL OF CHEMICAL ENGINEERING OF CHINESE UNIVERSITIES , 编辑部邮箱 ,1996年04期
  • 【分类号】O6-04
  • 【被引频次】25
  • 【下载频次】256
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