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Phase Equilibria Measurements for Predictions by Group Contributions

Phase Equilibria Measurements for Predictions by Group Contributions
通过组贡献进行预测的相平衡测量
批准号:
8713233
负责人:
John Cunningham
金额:
$7.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
1988
资助国家:
美国
项目状态:
已结题
起止时间:
1988-02-15 至 1994-08-31

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英文摘要
Separations based on phase equilibria (and thus thermodynamic properties of nonideal liquid mixtures) are often essential for design of efficient chemical processes. Costly and time consuming measurements cannot be made except for a tiny fraction of the enormous number of mixtures of interest. Group contribution methods such as UNIFAC and ASOG show great promise for predicting phase equilibria of nonideal liquid mixtures. However, these methods are presently limited by the available experimental data to describe the group interactions. Previous work directed by Design Institute for Physical Property Data (DIPPR), under AIChE, has made progress in measuring data needed to obtain binary interaction parameters to fill in the blanks in the UNIFAC tables. Much additional work is needed to complete the tables and make the method more generally useful and applicable. Vapor-liquid equilibrium and solubility data are measured for binary liquid mixtures which is used to enhance the group contribution methods. Specific systems are selected taking other work into account to avoid duplication of effort. Significant advantages are realized in the handling of the project by DIPPR, since DIPPR broadly represents the chemical engineering profession and the chemical process industries, has a strong ongoing interest in the results of the projects, selects researchers competitively, and administers projects under contract with the researchers doing the work.
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33rd International Conference on Machine Learning (ICML 2016)
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  • 依托单位:
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